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Stop Guessing, Start Trading: The Token Metrics API Advantage

Big news: We’re cranking up the heat on AI-driven crypto analytics with the launch of the Token Metrics API and our official SDK (Software Development Kit). This isn’t just an upgrade – it's a quantum leap, giving traders, hedge funds, developers, and institutions direct access to cutting-edge market intelligence, trading signals, and predictive analytics.

Crypto markets move fast, and having real-time, AI-powered insights can be the difference between catching the next big trend or getting left behind. Until now, traders and quants have been wrestling with scattered data, delayed reporting, and a lack of truly predictive analytics. Not anymore.

The Token Metrics API delivers 32+ high-performance endpoints packed with powerful AI-driven insights right into your lap, including:

Trading Signals: AI-driven buy/sell recommendations based on real-time market conditions.
Investor & Trader Grades: Our proprietary risk-adjusted scoring for assessing crypto assets.
Price Predictions: Machine learning-powered forecasts for multiple time frames.
Sentiment Analysis: Aggregated insights from social media, news, and market data.
Market Indicators: Advanced metrics, including correlation analysis, volatility trends, and macro-level market insights.

‍Getting started with the Token Metrics API is simple:

Sign up at www.tokenmetrics.com/api.
Generate an API key and explore sample requests.
Choose a tier–start with 50 free API calls/month, or stake TMAI tokens for premium access.
Optionally–download the SDK, install it for your preferred programming language, and follow the provided setup guide.

At Token Metrics, we believe data should be decentralized, predictive, and actionable.

The Token Metrics API & SDK bring next-gen AI-powered crypto intelligence to anyone looking to trade smarter, build better, and stay ahead of the curve. With our official SDK, developers can plug these insights into their own trading bots, dashboards, and research tools – no need to reinvent the wheel.

Research

How Can Blockchain Be Used to Verify AI Data Sources? The Future of Trust in Artificial Intelligence

Talha Ahmad

5 min

MIN

As artificial intelligence (AI) continues to revolutionize industries and become deeply embedded in critical decision-making processes, the question of how can blockchain be used to verify AI data sources grows increasingly important. From healthcare diagnostics to financial trading algorithms, the reliability of AI models hinges on the authenticity and integrity of the data they consume. Inaccurate or tampered data can lead to flawed AI results, which in turn can have serious real-world consequences. Addressing this challenge requires innovative solutions that ensure data integrity and transparency throughout the AI development process.

Blockchain technology emerges as a powerful tool to meet this need by offering an immutable ledger, decentralized verification, and cryptographic proof mechanisms. By leveraging blockchain, organizations can establish trustworthy AI systems with verifiable data provenance, enhancing confidence in AI-powered services and fostering trust in AI applications used in everyday life.

The Critical Need for AI Data Verification

The Trust Gap in AI Systems

The integration of AI with blockchain is anticipated to become an essential infrastructure component by 2025, especially as AI-powered systems permeate sectors like finance, healthcare, and autonomous vehicles. While blockchain excels at proving that data has not been altered once recorded, it does not inherently guarantee the initial validity of the data. This limitation highlights the infamous "garbage in, garbage forever" problem, where compromised data inputs lead to persistent inaccuracies in AI outputs.

Unreliable AI data sources pose significant risks across various domains:

In financial markets, AI algorithms can make erroneous trading decisions if fed manipulated market data, potentially causing massive losses.
Healthcare AI systems trained on biased or incomplete datasets may lead to misdiagnoses, jeopardizing patient safety.
Autonomous vehicles relying on corrupted sensor data risk accidents and safety failures.
AI-powered content moderation tools might fail to detect deepfakes or manipulated media, undermining information integrity.

Current Challenges in AI Data Integrity

Traditional AI systems face multiple hurdles related to data verification and security:

Centralized Data Sources: Many AI models depend on centralized databases vulnerable to manipulation or breaches.
Lack of Provenance: Tracking the origin and transformation of data is often difficult or impossible, obscuring accountability.
Data Tampering: Without an immutable record, unauthorized modifications can go unnoticed.
Bias and Manipulation: AI algorithms can be poisoned intentionally or suffer from systemic biases due to flawed training data.
Accountability Gaps: Auditing AI decision-making processes remains a challenge, especially with complex or opaque models.

These issues underscore the urgency of adopting robust mechanisms to verify AI data sources and ensure data security and data privacy.

Blockchain as the Solution: Core Principles

Immutable Data Records

One of the key benefits of blockchain technology in AI verification lies in its ability to create an immutable ledger—a tamper-proof, permanent record of data transactions. Recording AI data points and decisions on a blockchain enables transparent, auditable records that simplify the process of verifying data provenance and understanding AI outcomes.

This immutable record ensures:

Authenticity of data sources
Accurate timestamps for data entries
Traceability of data modifications and updates
Transparent access and usage logs

By anchoring AI data in blockchain systems, organizations can significantly reduce the risk of unauthorized modifications and foster trust in AI results.

Decentralized Verification

Unlike traditional centralized verification, blockchain networks operate through consensus mechanisms involving multiple nodes distributed across decentralized platforms. This decentralized approach ensures that no single entity can unilaterally alter data without detection, enhancing data integrity and reducing the risk of fraud.

Blockchain platforms employ consensus algorithms that require agreement among participating nodes before data is accepted, making it exceedingly difficult for malicious actors to compromise AI data sources.

Cryptographic Proof

Blockchain employs advanced cryptographic techniques to guarantee data security and authenticity:

Hash Functions generate unique digital fingerprints for datasets, enabling quick verification of data integrity.
Digital Signatures authenticate the origin of data, linking it securely to verified sources.
Merkle Trees allow efficient verification of large datasets by enabling quick detection of any alteration.
Zero-Knowledge Proofs verify data validity without revealing sensitive information, preserving data privacy while maintaining trust.

Together, these cryptographic tools underpin the secure, transparent, and trustworthy AI ecosystems made possible by blockchain.

Technical Implementation Strategies

Data Provenance Tracking

Incorporating blockchain into AI workflows represents a groundbreaking advancement toward trustworthy AI knowledge bases. Data provenance tracking on blockchain involves maintaining an unalterable history of:

Data Origins: Documenting where and how data was initially collected or generated.
Processing History: Recording transformations, filtering, and aggregation steps applied to the data.
Quality Metrics: Including accuracy scores, validation results, and reliability indicators.
Source Credibility: Assessing and verifying the reputation and trustworthiness of data providers.

This comprehensive provenance tracking is essential for ensuring data integrity and providing transparent, auditable records that support AI governance and risk management.

Smart Contract Automation

Smart contracts—self-executing agreements encoded on blockchain platforms—play a crucial role in automating AI data verification processes. They can be programmed to:

Validate incoming data against predefined quality criteria.
Trigger alerts or flags when anomalies or inconsistencies are detected.
Automatically reward reliable data providers.
Penalize sources supplying inaccurate or manipulated data.

By automating these verification steps, smart contracts reduce human error, increase efficiency, and reinforce trust in AI data pipelines.

AI Verification Protocols

AI verification systems increasingly rely on sophisticated pattern recognition and anomaly detection techniques to validate data inputs:

Computer Vision Models analyze images and videos to detect manipulation artifacts.
Natural Language Processing (NLP) algorithms scrutinize contracts and metadata for inconsistencies.
Behavioral Analytics monitor transaction patterns in decentralized finance (DeFi) to identify suspicious activity.
Signal Analysis tracks sensor data streams in IoT-heavy environments to flag improbable or corrupted readings.

When combined with blockchain's immutable ledger, these AI verification protocols create a powerful framework for trustworthy AI development and deployment.

Real-World Applications and Use Cases

Medical Diagnostics and Healthcare

In healthcare, the stakes for accurate AI diagnostics are exceptionally high. Blockchain-verified AI data can significantly enhance the reliability of medical diagnoses by:

Feeding medical scan results into AI diagnostic algorithms.
Hashing and storing diagnosis data on the blockchain to create an immutable record.
Using smart contracts to automatically verify diagnosis accuracy.
Allowing patients and healthcare providers transparent access to diagnostic records.
Triggering investigations and adjustments if inaccuracies are detected.

This approach ensures that AI models in healthcare operate on verifiable, trustworthy data, reducing misdiagnosis risks and improving patient outcomes.

Supply Chain Management

Decentralized supply chains benefit immensely from blockchain-based platforms that record shipping and handling data transparently. Platforms like IBM's Food Trust and VeChain use blockchain to provide proof of origin and track product journeys. However, without proper validation at each checkpoint, records remain vulnerable to forgery.

By integrating AI-powered blockchain verification, supply chains can:

Analyze sensor data from IoT devices for environmental anomalies.
Verify authenticity of product certifications.
Track goods from source to consumer with an auditable record.

This combination enhances data security and trustworthiness throughout the supply chain, mitigating risks of fraud and contamination.

Financial Services and Trading

The financial sector leverages blockchain-verified AI data to improve:

Market Data Verification: Ensuring trading algorithms receive accurate and untampered price feeds.
Credit Scoring: Validating financial records and transaction histories.
Fraud Detection: Creating immutable logs of suspicious activities.
Regulatory Compliance: Maintaining transparent audit trails for oversight.

These applications demonstrate how blockchain enables secure, trustworthy AI-powered financial services that comply with regulatory standards and reduce data breach risks.

NFT and Digital Content Verification

NFT marketplaces face challenges with art theft and plagiarism. By combining AI image recognition with blockchain verification, platforms can:

Detect near-duplicate artworks during minting.
Protect intellectual property rights.
Prevent unauthorized duplication.
Maintain creator attribution.

This synergy between AI and blockchain safeguards digital assets and fosters a fairer digital content ecosystem.

Token Metrics: Leading the AI-Verified Crypto Analytics Revolution

In the cryptocurrency realm, Token Metrics exemplifies how AI and blockchain can merge to deliver trustworthy market intelligence. As a leading crypto trading and analytics platform, Token Metrics integrates AI-powered insights with blockchain-based verification to provide users with reliable data.

AI-Driven Market Intelligence

Token Metrics consolidates research, portfolio management, and trading into one ecosystem, assigning each token a Trader Grade for short-term potential and an Investor Grade for long-term viability. This system enables users to prioritize opportunities efficiently.

The platform aggregates data from diverse sources, including cryptocurrency exchanges, blockchain networks, social media, news outlets, and regulatory announcements. Advanced machine learning algorithms cross-verify this data, identifying discrepancies and potential manipulation.

Real-Time Data Verification

Scanning over 6,000 tokens daily, Token Metrics evaluates technical analysis, on-chain data, fundamentals, sentiment, and exchange activity. This comprehensive approach ensures:

Maintenance of data integrity across all sources.
Swift identification of anomalies.
Delivery of verified, reliable market intelligence.
Informed trading decisions based on authenticated data.

Blockchain-Native Analytics

By leveraging blockchain's transparency, Token Metrics verifies on-chain transactions, tracks token holder distributions, analyzes smart contract interactions, and monitors decentralized exchange activity. These capabilities empower users to respond rapidly to market shifts, a crucial advantage in volatile crypto markets.

API Integration and Transparency

Token Metrics offers a leading cryptocurrency API that combines AI analytics with traditional market data, providing real-time price, volume, AI-based token ratings, and social sentiment analysis. Comprehensive documentation supports research and trading applications, enabling third-party verification, external audits, and community-driven validation.

Emerging Technologies and Standards

Proof-of-Sampling (PoSP) Protocols

Emerging AI verifiability solutions include Proof-of-Sampling (PoSP), which randomly selects nodes within a blockchain network to verify AI computations. By comparing hash outputs across nodes and penalizing dishonest actors, PoSP enhances trustworthiness and scales verification based on task importance.

Trusted Execution Environments (TEEs)

TEEs provide secure, isolated environments where AI computations occur on encrypted data, ensuring privacy and cryptographic verification of results. This technology enables sensitive AI workloads to be processed securely within blockchain systems.

Zero-Knowledge Proofs (ZKPs)

ZKPs allow verification of AI computations without revealing sensitive inputs, proprietary algorithms, or private model parameters. This preserves data privacy and intellectual property while maintaining transparency and trust.

Market Impact and Economic Implications

Market Growth Projections

The blockchain AI market is poised for rapid expansion, projected to grow from $0.57 billion in 2024 to $0.7 billion in 2025, with a CAGR of 23.2%, reaching $1.88 billion by 2029. This growth is fueled by increasing demand for trustworthy AI, regulatory pressures, and widespread blockchain adoption.

Investment and Innovation

Analysts forecast a $22.34 billion AI safety market by 2030, with blockchain-based solutions capturing $1.12 billion. Investment focuses on AI verification protocols, decentralized data marketplaces, smart contract auditing, and cross-chain interoperability, driving innovation in AI governance and risk management.

Challenges and Limitations

Technical Challenges

Incorporating blockchain into AI verification introduces complexities such as:

Scalability: Managing high-volume AI data verification on blockchain networks remains challenging.
Cost: Gas fees and computational expenses can hinder extensive verification.
Latency: Blockchain consensus may delay real-time AI processing.
Integration Complexity: Combining AI and blockchain requires specialized expertise.

Additionally, systems handling sensitive information must adhere to strict data governance to prevent new vulnerabilities.

Regulatory and Compliance Considerations

Increasingly, governments and industry bodies enforce frameworks governing AI data sourcing, transparency, and privacy. Compliance with regulations like GDPR, CCPA, healthcare privacy laws, and financial standards is critical when implementing blockchain-verified AI systems.

Future Developments and Trends

Industry Standardization

The future will see the emergence of industry standards for AI-powered on-chain data validation, composable verification services accessible to decentralized applications (dApps), and edge AI models running on IoT devices prior to blockchain upload. New frameworks will promote model transparency and reproducibility.

Hybrid Verification Systems

Most practical deployments will combine AI-driven anomaly detection with human auditor oversight, balancing automation with accuracy and accountability.

Cross-Chain Interoperability

Interoperable verification protocols and standardized APIs will enable seamless AI data provenance tracking across multiple blockchain platforms, fostering a more connected and transparent ecosystem.

Implementation Best Practices

Design Principles

To effectively implement blockchain-based AI verification:

Prioritize data quality with robust collection and validation.
Employ graduated verification levels based on data sensitivity.
Design systems for full auditability.
Select scalable blockchain platforms suited to data volumes.
Incorporate privacy-preserving techniques like zero-knowledge proofs.

Technical Architecture

Successful architectures include:

A data ingestion layer for secure data collection.
Blockchain storage for immutable recording of data hashes and metadata.
A verification layer with smart contracts and consensus mechanisms.
An API gateway for standardized access to verified data.
An audit interface for monitoring and reviewing verification processes.

Conclusion: Building Trust in the AI-Driven Future

The convergence of blockchain technology and artificial intelligence marks a transformative shift toward more trustworthy, transparent, and accountable AI systems. As AI continues to influence daily lives and critical industries, the ability to verify data sources, maintain data provenance, and ensure algorithmic transparency becomes indispensable.

The ultimate vision is an immutable ledger so robust that it never requires correction—enabling AI models to be inherently trustworthy rather than relying on external validation after deployment. Platforms like Token Metrics showcase the immense potential of this approach, delivering AI-powered insights backed by blockchain-verified data.

As standards mature and adoption accelerates, blockchain-verified AI systems will become the industry standard across sectors such as healthcare, finance, supply chain, and autonomous systems. This fusion of powerful technologies not only enhances trust but also unlocks valuable insights and actionable intelligence, empowering business leaders and AI companies to build reliable, innovative AI services.

The future of AI is not only intelligent—it is verifiable, transparent, and secured by the unshakeable foundation of blockchain technology. This paradigm will define the next generation of AI-powered systems, ensuring that as AI grows more powerful, it also becomes more trustworthy.

‍

Research

What Are The Risks of AI Controlling DAOs? Critical Risks Every Crypto Investor Must Know

Talha Ahmad

5 min

MIN

The convergence of artificial intelligence and decentralized autonomous organizations (DAOs) marks a groundbreaking moment in blockchain technology. This fusion promises to revolutionize governance by automating decision making and enhancing efficiency through AI-driven systems. However, while integrating AI technologies into DAOs offers exciting opportunities, it also introduces a complex array of risks that could fundamentally undermine the democratic ideals upon which decentralized autonomous organizations were founded. Understanding what are the risks of AI controlling DAOs is essential for anyone involved in decentralized finance, governance, or the broader crypto ecosystem.

Introduction to AI-Controlled DAOs: Definition and Overview

AI-Controlled DAOs are decentralized autonomous organizations that leverage artificial intelligence to manage and govern their operations with minimal human intervention. By integrating advanced AI models and algorithms into the core of DAO governance, these entities can autonomously execute decision making processes, optimize asset management, and adapt to changing environments in real time. Artificial intelligence AI enables DAOs to analyze complex data sets, identify patterns, and make informed decisions without relying on centralized authorities or manual oversight. This fusion of AI and DAOs is reshaping the landscape of decentralized governance, offering the potential for more efficient, scalable, and self-sustaining organizations. As AI development continues to advance, the role of AI models in decentralized autonomous organizations is set to expand, fundamentally transforming how decisions are made and assets are managed across the crypto ecosystem.

The Rise of AI-Driven DAOs: A Double-Edged Innovation

AI-driven DAOs represent a new paradigm in the DAO space, where artificial intelligence tools and advanced AI models are entrusted with governance responsibilities traditionally held by human token holders. These AI agents can propose changes, vote on governance issues, and even execute decisions autonomously via smart contracts. This shift from human-centric governance to algorithm-driven decision making promises increased scalability and productivity, potentially unlocking new revenue streams and optimizing asset management.

However, this evolution also introduces unique challenges. The autonomous nature of AI acting within DAOs raises critical questions about ethical concerns, security vulnerabilities, and the balance of power between AI systems and human intervention. Unlike traditional DAOs, where risks often stem from voter apathy or central authority influence, AI DAOs face the threat of model misalignment—where AI algorithms optimize for objectives that deviate from human intentions. This misalignment is not merely theoretical; it is a practical issue that can disrupt consensus mechanisms and jeopardize the strategic direction of decentralized autonomous organizations.

In essence, while AI technologies can propel DAOs into a new era of efficiency and data-driven insights, they also potentially lead to scenarios where AI systems act in ways that conflict with the foundational principles of decentralization and democratic governance, potentially leading to significant risks or harm if not properly managed.

But what if AI ownership within DAOs shifts the balance of power entirely, allowing autonomous agents to make decisions without meaningful human oversight? But what happens when collective intelligence is governed by algorithms rather than people, and how might this reshape the future of decentralized organizations?

The Benefits of AI-Controlled DAOs: Promise and Potential

The integration of AI and DAOs brings a host of compelling benefits that are driving innovation in decentralized governance. AI-Controlled DAOs can automate decision making processes, enabling faster and more consistent responses to governance challenges. By harnessing the analytical power of AI daos, these organizations can process vast amounts of data, uncover actionable insights, and make data-driven decisions that enhance overall performance. This automation not only streamlines operations but also opens up new revenue streams and business models, as AI-driven DAOs can identify and capitalize on emerging opportunities more efficiently than traditional structures. Improved asset management is another key advantage, with AI systems optimizing resource allocation and risk management. Ultimately, the synergy between AI and DAOs empowers organizations to become more resilient, adaptive, and innovative, paving the way for a new era of decentralized, autonomous governance.

Critical Risk Categories in AI-Controlled DAOs

1. Model Misalignment and Goal Deviation

At the heart of AI risks in DAO governance lies the problem of model misalignment. AI systems, especially those powered by machine learning models and large language models, operate by optimizing specific metrics defined during training. Training AI models in isolated environments or silos can increase the risk of misalignment and loss of control, as these models may not be exposed to the diverse perspectives and values necessary for safe and ethical outcomes. However, these metrics might not capture the full spectrum of human values or community goals. As a result, an AI system could pursue strategies that technically fulfill its programmed objectives but harm the DAO’s long-term interests.

For example, an AI agent managing financial assets within a decentralized autonomous organization might prioritize maximizing short-term yield without considering the increased exposure to security risks or market volatility. The Freysa contest highlighted how malicious actors exploited an AI agent’s misunderstanding of its core function, tricking it into transferring $47,000. This incident underscores how AI models, if not properly aligned and monitored, can be manipulated or confused, leading to catastrophic outcomes.

2. Algorithmic Bias and Democratic Erosion

AI systems inherit biases from their training data and design, which can erode the democratic ethos of DAO governance. While DAO governance AI tools are designed to enhance proposal management and moderation, they can also inadvertently reinforce biases if not properly monitored. Biases embedded in AI algorithms may result in unfair decision making, favoring certain proposals, contributors, or viewpoints disproportionately. These biases manifest in several ways:

Selection Bias: AI models might consistently prioritize certain types of proposals or token holders, marginalizing others.
Historical Bias: Training data reflecting past inequalities can perpetuate systemic discrimination within DAO governance.
Confirmation Bias: AI-driven decision-making could reinforce existing organizational tendencies, stifling innovation and diverse perspectives.

Such biases threaten to undermine the promise of decentralized networks by creating invisible barriers to participation, effectively centralizing power despite the decentralized structure.

3. Security Vulnerabilities and Attack Vectors

Integrating AI into DAOs introduces new security risks that extend beyond traditional smart contract vulnerabilities. AI systems depend heavily on training data and algorithms, both of which can be targeted by malicious actors seeking to manipulate governance outcomes.

Key security concerns include:

Unauthorized Access and Model Tampering: Without robust access controls, attackers can alter AI model outputs, compromising trust in decision making. Improper or overly broad ai permission settings can allow attackers to exploit AI authority within DAOs, making it essential to enforce strict permission controls to limit unauthorized actions.
Data Poisoning: Corrupting training data can mislead AI systems, causing them to make flawed or harmful decisions.
Adversarial Attacks: Malicious inputs crafted specifically to deceive AI models can lead to unpredictable and damaging behavior.
Prompt Injection: Attackers can exploit AI assistants or natural language processing capabilities to inject deceptive instructions, as seen in the Freysa incident.
Model Extraction: Competitors or attackers may reverse-engineer proprietary AI algorithms, exposing intellectual property and governance strategies.

These vulnerabilities underscore the necessity for decentralized autonomous organizations to implement robust security protocols that safeguard both AI systems and the underlying smart contracts.

4. Centralization Through Technical Complexity

One of the most subtle yet profound risks of AI in DAOs is the potential for centralization of power among a small group of technical experts or "AI wizards." The complexity of AI development and maintenance creates a knowledge barrier that limits meaningful participation to those with specialized skills. This technical gatekeeping can result in governance control shifting from the broader community to a few individuals who understand and can manipulate AI systems.

Such centralization contradicts the decentralized ethos of DAOs and risks creating new oligarchies defined by AI expertise rather than token ownership or community contribution. Over time, this dynamic could erode trust and reduce the legitimacy of AI-driven DAO governance.

5. Regulatory and Compliance Nightmares

AI-controlled DAOs operate in a regulatory gray area, facing challenges that traditional organizations do not. The autonomous nature of AI acting within decentralized networks complicates accountability and legal responsibility. Key regulatory concerns include:

Accountability: When AI systems make autonomous decisions, determining liability for errors or malicious actions becomes complex.
Cross-Jurisdictional Compliance: DAOs operate globally, but AI governance regulations vary widely by jurisdiction, creating compliance challenges.
Evolving Standards: Rapid advances in AI development and shifting regulatory landscapes mean DAOs risk falling out of compliance as standards change.

These factors introduce legal uncertainties that could expose AI DAOs to sanctions, fines, or operational restrictions, complicating their long-term viability.

Real-World Manifestations of AI DAO Risks

The risks associated with AI-driven DAOs are not merely theoretical. In 2025 alone, smart contract security flaws led to over $90 million in losses due to hacks and exploits within DAO structures. When AI systems are layered onto these vulnerabilities, the potential for cascading failures grows exponentially.

Incidents have already demonstrated how attackers exploit governance mechanisms, manipulating voting and decision-making processes. AI’s speed and efficiency can be weaponized to identify arbitrage opportunities that disadvantage the DAO itself. Moreover, AI systems processing community input may be vulnerable to sophisticated social engineering and disinformation campaigns, further destabilizing governance. The use of ai agent comments in forum discussions and governance decisions can amplify manipulation by allowing AI to influence outcomes directly. There is also a risk that AI-powered moderation tools could inadvertently generate or spread hate speech, making it essential to implement safeguards to prevent toxic content. Additionally, the proliferation of ai generated content, such as misinformation or abusive material, poses dangers by misleading users and undermining the stability of governance.

These real-world examples highlight the urgent need for comprehensive risk management strategies in AI DAO integration.

The Data Quality Crisis

A frequently overlooked risk in AI-controlled DAOs is the quality and integrity of data used to train and operate AI models. Since AI systems rely heavily on training data, any flaws or manipulation in this data can compromise the entire governance process.

In decentralized autonomous organizations, this risk manifests through:

Incomplete Information: DAOs often lack extensive historical data, limiting the reliability of AI-driven predictions and decisions.
Gaming Risks: Members may intentionally manipulate input data to influence AI decision making for personal gain.
External Dependencies: Reliance on third-party data sources introduces vulnerabilities to external tampering or failures.

Ensuring the accuracy, completeness, and security of training data is therefore paramount to maintaining AI safety and trustworthy DAO governance.

Asset Management in AI-Controlled DAOs: New Frontiers, New Risks

Asset management is at the heart of many AI-Controlled DAOs, as these organizations are tasked with overseeing and optimizing a wide range of financial assets and digital resources. By deploying advanced AI models, including machine learning models and natural language processing tools, AI-Controlled DAOs can analyze market data, forecast trends, and make strategic investment decisions with unprecedented speed and accuracy. However, this reliance on AI systems introduces new security vulnerabilities and risks. Malicious actors may attempt to exploit weaknesses in AI algorithms, manipulate training data, or launch sophisticated attacks targeting the DAO’s asset management protocols. To address these challenges, AI-Controlled DAOs must implement robust security protocols, ensure the integrity and quality of their training data, and establish transparent governance structures that can respond to emerging threats. By proactively managing these risks, AI-Controlled DAOs can unlock new opportunities for growth while safeguarding their financial assets and maintaining trust within their communities.

Navigating the Risks: Lessons from Token Metrics

Despite these challenges, responsible integration of artificial intelligence in DAO governance is achievable. Platforms like Token Metrics exemplify how AI tools can enhance decision making without sacrificing transparency or human oversight.

Token Metrics is an AI-powered crypto analytics platform that leverages advanced AI models and predictive analytics to identify promising tokens and provide real-time buy and sell signals. By anticipating future trends through AI-driven predictions, Token Metrics helps DAOs and investors improve investment strategies and resource management. Some of the advanced AI models used by Token Metrics are based on large language model technology, which underpins content analysis and decision support for more effective DAO operations. Their approach balances AI-driven insights with human judgment, embodying best practices for AI and DAOs:

Transparency: The platform openly explains its AI recommendations, mitigating the black box problem common in AI systems.
Human-AI Collaboration: Rather than replacing humans, Token Metrics augments human analysis with AI-generated data-driven insights.
Risk Management: Multiple data sources and validation mechanisms reduce single points of failure and improve reliability.
Continuous Learning: Their AI models are regularly updated based on market feedback and user input to maintain alignment with investor goals.

With a track record of 8,000% returns from AI-selected crypto baskets, Token Metrics demonstrates that artificial intelligence tools, when implemented with robust safeguards and human oversight, can unlock new revenue streams and improve DAO productivity without compromising security or ethical standards.

AI Model Ownership: Legal and Technical Implications

As AI models become central to the operation of AI-Controlled DAOs, questions around ownership and intellectual property take on new significance. Determining who owns the rights to an AI model—whether it’s the developers, the DAO itself, or the broader community—can have far-reaching legal and technical implications. Issues of liability and accountability also arise, especially when AI-driven decisions lead to unintended consequences or disputes. To navigate these complexities, AI-Controlled DAOs need to establish clear policies regarding AI model ownership, including licensing agreements and governance frameworks that protect the interests of all stakeholders. Addressing these challenges is essential for ensuring transparency, safeguarding intellectual property, and fostering innovation in the rapidly evolving landscape of AI and decentralized autonomous organizations.

Mitigation Strategies and Best Practices

Although AI-controlled DAOs face significant risks, these challenges are not insurmountable. Proactive strategies can help organizations safely integrate AI technologies into their governance structures. It is especially important to establish clear rules and safeguards for scenarios where AI owns assets or treasuries within DAOs, as this fundamentally changes traditional notions of ownership and financial authority.

Implement robust access controls and multi-signature wallets to prevent unauthorized actions by AI agents.
Regularly audit smart contracts and AI code to identify and patch vulnerabilities before they can be exploited.
Use platforms like Ocean Protocol to enable decentralized data sharing and AI integration, which can enhance security, empower data owners, and automate governance processes.
Foster collaboration between DAOs, such as the Amazon rainforest DAO, where AI-powered metagovernance and swarm intelligence facilitate joint decision-making and address environmental challenges like deforestation and climate change.
Consider the environmental impact of AI deployment, particularly the significant energy consumption of data centers that power large-scale AI systems, and prioritize sustainable infrastructure to minimize harm.

1. Hybrid Governance Models

Combining AI automation with human oversight is critical. DAOs should reserve high-impact decisions for human token holders or expert councils, ensuring AI-driven decisions are subject to review and intervention when necessary. This hybrid approach preserves the benefits of AI while maintaining democratic participation.

2. Continuous Alignment Monitoring

Alignment between AI algorithms and community values must be an ongoing process. Regular audits and testing of AI decision-making against expected outcomes help detect and correct goal deviations early. Treating alignment as a continuous operational expense is essential for AI safety.

3. Distributed Technical Expertise

Investing in community education and skill-building democratizes AI stewardship. By broadening technical expertise among members, DAOs can prevent governance capture by a small group of AI experts and foster a more decentralized technical ecosystem.

4. Robust Security Frameworks

Implementing comprehensive security protocols is vital. Measures include:

Multi-signature requirements for AI-initiated transactions
Anomaly detection systems to flag unusual AI behavior
Regular security audits of both AI systems and smart contracts
Incident response plans tailored to AI-specific threats

These steps help safeguard DAO governance against malicious AI and external attacks.

The Path Forward: Balancing Innovation and Risk

The future of AI-controlled DAOs hinges on striking the right balance between leveraging AI’s capabilities and preserving meaningful human intervention. As AI development and decentralized networks continue to evolve, more sophisticated governance models will emerge that integrate AI-driven decision making with community oversight.

Organizations exploring AI in DAO governance should:

Start with limited AI roles in non-critical functions to minimize risk.
Maintain transparency about AI system operations to build trust.
Preserve mechanisms for human override to ensure control remains with the community.
Conduct regular audits to monitor AI performance and compliance.
Educate members about AI risks and benefits to foster informed participation.

By adopting these practices, DAOs can harness the advantages of artificial intelligence while mitigating its inherent risks.

Conclusion: Preparing for an AI-Governed Future

Integrating artificial intelligence into decentralized autonomous organizations offers transformative potential but also brings significant challenges. While AI can enhance efficiency, reduce certain human biases, and enable more responsive governance, it simultaneously introduces new security risks, ethical concerns, and governance complexities that could threaten the democratic foundations of DAOs.

Success in this evolving landscape depends on thoughtful AI development, robust risk management, and transparent human-AI collaboration. Platforms like Token Metrics illustrate how AI products can deliver powerful, data-driven insights and automation while maintaining accountability and community trust.

As we stand at this technological crossroads, understanding what are the risks of AI controlling DAOs is essential. By acknowledging these risks and implementing appropriate safeguards, the crypto community can work towards a future where AI enhances rather than replaces human agency in decentralized governance—preserving the revolutionary promise of decentralized autonomous organizations.

For investors and participants in the crypto ecosystem, staying informed about these emerging technologies and choosing platforms with proven responsible AI implementation will be crucial for navigating the complex and rapidly evolving DAO space.

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Research

Can AI and Blockchain Be Combined for IoT? The Revolutionary Convergence Transforming Industries in 2025

Talha Ahmad

5 min

MIN

In the rapidly evolving digital landscape of 2025, a groundbreaking convergence is taking place among three transformative technologies: Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT). This powerful combination is not merely a theoretical possibility—it is actively reshaping industries by redefining how connected devices communicate, how data is managed, and how decisions are made autonomously. Understanding can AI and blockchain be combined for IoT applications is essential for businesses, investors, and technologists aiming to harness the full potential of this technological revolution.

At the forefront, IoT devices generate vast amounts of data from sensors embedded in everything from smart cities to healthcare systems. AI algorithms analyze this real-time data to derive actionable insights, while blockchain technology ensures data integrity and security through decentralized, tamper-proof transaction records. Together, these technologies enable smarter, more secure, and autonomous IoT ecosystems that are transforming how industries operate.

The Foundation: Understanding the Technological Trinity

To appreciate the synergy between AI, blockchain, and IoT, it is important to understand each technology’s role.

Artificial Intelligence refers to computer systems capable of human-like cognition, including reasoning, learning, and decision-making. In 2025, AI systems leverage advanced machine learning and neural networks to process massive datasets generated by IoT sensors in real time. These AI models empower IoT devices to evolve from simple data collectors into autonomous systems capable of predictive maintenance, anomaly detection, and optimized resource allocation.

Blockchain technology acts as a decentralized ledger that records digital transactions securely and transparently without intermediaries. By storing data across distributed blockchain networks, it enhances security features and guarantees data provenance and integrity. Blockchain protocols enable smart contracts—self-executing agreements that automate and secure interactions between IoT devices, ensuring trustworthy digital transactions.

Internet of Things (IoT) encompasses the vast network of connected devices embedded with sensors and software that collect and exchange data. IoT systems span smart grids, smart cities, healthcare devices, and industrial automation. With projections estimating around 30 billion IoT devices worldwide by 2030, the volume of data generated demands robust AI and blockchain integration to optimize data management and security.

The Market Reality: Explosive Growth and Convergence

The convergence of AI, blockchain, and IoT is no longer a futuristic concept but a tangible market phenomenon with significant economic impact. The combined market capitalization of these technologies exceeded $1.362 trillion in 2024 and is expected to grow exponentially as their integration deepens.

The IoT market alone, valued at $300 billion in 2021, is projected to surpass $650 billion by 2026, with estimates reaching $3.3 trillion by 2030. This growth is fueled by the increasing demand for secure, intelligent IoT networks that can handle the massive data flows generated by connected devices.

This convergence addresses practical challenges faced by traditional cloud-based data processing, such as latency, high costs, and vulnerability to cyber threats. Integrating AI and blockchain within IoT ecosystems optimizes data analysis and enhances security protocols, making it an indispensable strategy for modern enterprises.

How the Integration Works: The Technical Symphony

AI as the Intelligence Layer

AI forms the cognitive backbone of IoT systems by transforming raw data collected from IoT sensors into meaningful insights. Through machine learning and neural networks, AI analyzes data generated by connected devices to detect anomalies, predict equipment failures, and optimize energy management in real time.

For example, AI algorithms embedded in smart grids can forecast electricity demand and adjust distribution accordingly, reducing waste and improving sustainability. Similarly, in manufacturing, AI-driven predictive maintenance minimizes downtime by identifying potential faults before they escalate.

By integrating AI processes with IoT data flows, enterprises can automate decision-making and enhance operational efficiency, turning IoT devices into autonomous systems capable of adapting dynamically to changing environments.

Blockchain as the Trust Infrastructure

While AI provides intelligence, blockchain technology offers the trust and security layer vital for IoT networks. Blockchain enhances security by decentralizing data storage and transaction records, making it resistant to tampering and cyber breaches.

Key applications of blockchain in IoT include:

Device Authentication: Each IoT device receives a unique digital identity secured cryptographically on the blockchain, ensuring only authorized devices participate in the network. This prevents unauthorized access and exploits of vulnerabilities.
Data Provenance and Integrity: Blockchain records the origin and history of data generated by IoT sensors, guaranteeing its authenticity. For instance, blockchain can verify that temperature readings in a cold chain logistics system were not altered during transit.
Smart Contracts for Automated Transactions: Blockchain-enabled smart contracts facilitate secure, automated transactions between devices without intermediaries. This capability supports autonomous financial transactions such as toll payments by connected vehicles or peer-to-peer energy trading in smart grids.

By integrating blockchain systems with IoT, enterprises can achieve enhanced security features and maintain data privacy while enabling transparent and tamper-proof data management.

The Convergence in Action

The fusion of AI, blockchain, and IoT technologies creates a new digital operating system where blockchain serves as the secure trust layer, IoT devices provide continuous streams of real-time data, and AI models analyze and act on this data autonomously. This convergence is revolutionizing industries by enabling decentralized AI models to operate securely across blockchain networks, optimizing IoT ecosystems with enhanced data security and operational intelligence.

Real-World Applications Transforming Industries

Smart Supply Chains and Logistics

Supply chains are becoming increasingly complex, requiring flexible, transparent, and adaptive solutions. AI algorithms analyze IoT data from sensors monitoring shipment conditions and locations, predicting delays and optimizing delivery routes. Blockchain technology ensures the authenticity and traceability of goods by securely recording transaction records and device authentication events.

This integration improves inventory management by providing end-to-end visibility, reducing fraud, and preventing data breaches, ultimately enhancing customer trust and operational efficiency.

Autonomous Financial Transactions

The combination of AI and blockchain enables connected devices like autonomous vehicles and drones to conduct financial transactions independently. Smart contracts automate payments for services such as EV charging, tolls, or retail purchases, reducing friction and improving user experience.

For example, an electric vehicle can automatically pay for charging at a smart grid station using blockchain transactions secured by AI-enhanced security protocols. This autonomous system streamlines commerce within the IoT ecosystem.

Energy Management and Sustainability

In smart grids, AI optimizes energy distribution by analyzing real-time data from IoT sensors, forecasting demand, and adjusting supply dynamically. Blockchain facilitates peer-to-peer energy trading between participants, ensuring secure and transparent transactions.

This integration supports sustainability goals by optimizing resource allocation, reducing energy waste, and enabling decentralized energy markets that empower consumers and producers alike.

Healthcare and Medical Devices

IoT medical devices continuously collect sensitive patient data, which AI systems analyze to detect early signs of diseases and personalize treatment plans. Blockchain technology ensures the secure management and privacy of patient data by decentralizing storage and controlling access through smart contracts.

This convergence enhances healthcare system efficiency, enabling seamless and secure sharing of medical records across providers while protecting against data breaches.

The Role of Advanced Analytics: Token Metrics Leading the Way

Navigating the complex intersection of AI, blockchain, and IoT requires sophisticated analytics platforms. Token Metrics, a premier crypto trading and analytics platform, leverages AI technologies to help investors identify promising AI-blockchain-IoT projects early.

Token Metrics integrates AI-driven data analytics, sentiment analysis, and real-time market data across thousands of tokens. Its AI models assign Trader Grades and Investor Grades to tokens, guiding users in making informed decisions within this rapidly evolving market.

By consolidating research, portfolio management, and trading tools, Token Metrics empowers investors to capitalize on the AI blockchain’s role in transforming IoT ecosystems and digital transactions.

Current Challenges and Solutions

Scalability and Data Management

The enormous volume of data generated by IoT devices demands scalable AI processing and blockchain storage solutions. Edge computing addresses latency and bandwidth constraints by processing data closer to the source. Layer-2 blockchain protocols improve transaction throughput, making blockchain operations more efficient and cost-effective.

Security and Privacy

While blockchain enhances security, integrating AI models and IoT networks introduces new vulnerabilities. Enterprises must implement robust security features, including advanced encryption and privacy-preserving AI techniques, to protect sensitive data and comply with data privacy regulations.

Interoperability

Diverse blockchain networks, AI frameworks, and IoT protocols present challenges for seamless integration. Standardized interfaces and cross-platform compatibility solutions are essential to enable smooth data flows and cohesive system operation.

Future Outlook: The 2030 Vision

Looking ahead, the integration of AI, blockchain, and IoT is poised to create an adaptable, interconnected digital ecosystem. By 2030, AI-enhanced blockchain networks combined with 5G connectivity will enable unprecedented real-time data analysis and autonomous decision-making across industries.

Digital wallets, empowered by blockchain protocols, will expand beyond cryptocurrencies to support seamless device authentication and smart contract interactions. The in-car payment market alone is expected to reach $530 billion, with vehicles conducting secure, autonomous transactions via blockchain-linked SIM cards.

This complete ecosystem integration will power smart cities, smart grids, healthcare systems, and autonomous systems, unlocking new efficiencies and innovations.

Strategic Implications for Businesses

In 2025, companies that fail to embrace the convergence of AI, blockchain, and IoT risk falling behind. To remain competitive, organizations must:

Develop integrated technology infrastructures that unify AI systems, blockchain networks, and IoT devices.
Implement data strategies that leverage AI for data analysis while using blockchain to ensure data integrity and secure management.
Establish comprehensive security protocols addressing the unique challenges of interconnected AI-blockchain-IoT environments.
Invest in talent capable of navigating the intersection of these technologies rather than isolated specializations.

Conclusion: The Inevitable Future

The question is no longer can AI and blockchain be combined for IoT—the answer is a resounding yes. The real challenge lies in how swiftly organizations can adapt to this convergence that is fundamentally transforming digital ecosystems.

By harnessing AI intelligence, blockchain trust, and IoT connectivity, businesses can create autonomous systems that think, transact, and optimize in real time while maintaining the highest standards of data privacy and security. Platforms like Token Metrics provide the tools to navigate this revolution, identifying opportunities and mitigating risks in the evolving digital economy.

The convergence of AI, blockchain, and IoT is here, the market is responding, and transformation is accelerating. The future belongs to those ready to embrace this revolutionary synergy and lead the next wave of innovation. Are you ready to be part of this transformative journey?

‍

Bitcoin Price Prediction for July 2025: Key Trends, Insights, and What Investors Can Expect

Token Metrics Team

8 min

MIN

As of July 2025, Bitcoin (BTC) is experiencing a major breakout, surging past $119,000 after breaching the critical $110,000 resistance level. This surge, driven by institutional capital inflows, supply constraints, and favorable macroeconomic trends, has reignited optimism in the broader crypto market.

But how high can Bitcoin go in 2025—and beyond? Is this rally sustainable? What are the risks? In this highly informative and SEO-optimized blog post, we’ll provide a detailed Bitcoin price prediction for 2025, using real-time data from the Token Metrics AI crypto trading and research platform, along with key macro, on-chain, and policy-level insights.

🚀 The Bullish Breakout: Bitcoin Turns Upward in June 2025

On June 28, 2025, the Token Metrics AI signal for Bitcoin turned bullish, signaling a strong shift in momentum. Since then, Bitcoin has:

Surged past $118,000
Broken the psychological and technical resistance at $110,000
Shown strong price action supported by both on-chain and institutional metrics

This wasn’t just a technical rally—it’s been fundamentally driven by several powerful tailwinds.

📊 Institutional Adoption: The Driving Force Behind Bitcoin’s Surge

1. Bitcoin Spot ETFs See Billions in Inflows

Major financial institutions—BlackRock, Fidelity, and Charles Schwab—have led the charge in Bitcoin ETF adoption. As of Q3 2025:

Total net inflows to U.S.-based Bitcoin ETFs have surpassed $25 billion
These products are now used in 401(k)s, pension funds, and private wealth portfolios

Institutional buyers are not flipping BTC like retail investors. Instead, they’re accumulating and holding, tightening supply and driving long-term demand.

2. Declining Exchange Reserves

Another bullish on-chain indicator: BTC reserves on exchanges have dropped from 3.25 million to just 2.55 million BTC—a level not seen since 2017. This suggests:

More Bitcoin is being moved to cold wallets
Less BTC is available for sale
Market sentiment is shifting from “sell” to “HODL”

When supply tightens while demand rises, prices move up—a simple but powerful formula playing out in real time.

📈 Policy Tailwinds: Pro-Crypto Regulations in the U.S.

The current U.S. regulatory landscape is the most Bitcoin-friendly in history.

🔹 Bitcoin Reserve Proposal

There are growing discussions in U.S. policy circles around holding Bitcoin as a strategic reserve asset, similar to gold. This has further validated BTC as:

A legitimate sovereign-grade asset
A hedge against inflation and geopolitical uncertainty

🔹 Clarity on Custody and Taxes

Clear guidelines on:

Crypto tax treatment for institutions
Custodianship rules for ETFs and banks
Greenlight for banks to hold digital assets

…have dramatically increased institutional confidence in Bitcoin.

💰 Macroeconomic Trends Supporting BTC’s Growth

1. Weakening U.S. Dollar

The U.S. Dollar Index (DXY) has fallen due to:

Rising national debt
Slowing economic growth
High interest rates suppressing consumer demand

This has led investors to rotate into store-of-value assets like Bitcoin.

2. Rising Geopolitical Risk

Tensions in the Middle East (e.g., Israel-Iran) and ongoing trade disputes have fueled demand for assets that are:

Borderless
Non-sovereign
Resistant to censorship

Bitcoin fits all three criteria, increasing its role as a digital safe haven in times of global instability.

⚠️ Risks to Monitor in 2025

While the Bitcoin outlook is bullish, several risks could slow momentum:

❌ 1. Energy Usage Concerns

Bitcoin’s Proof-of-Work (PoW) consensus mechanism remains energy-intensive. Critics argue this could:

Attract stricter environmental regulations
Reduce adoption in ESG-conscious portfolios

❌ 2. Regional Regulatory Uncertainty

Not all jurisdictions are as pro-Bitcoin as the U.S. In 2025, some countries (especially in Asia and Europe) continue to:

Restrict Bitcoin trading
Propose heavy taxation
Limit institutional adoption

❌ 3. Price Corrections

With BTC up significantly since the start of 2025, short-term pullbacks are likely. Corrections of 15–25% are common in bull cycles—investors should be prepared with clear entry and exit strategies.

📉 Bear Case Scenario

If institutional inflows slow down or new regulation spooks the market:

Bitcoin could retrace to $90,000–$100,000
This would represent a healthy correction, not a full trend reversal
Long-term fundamentals still remain intact

📊 Token Metrics AI Forecast: Bitcoin Price Prediction for 2025–2026

Using on-chain data, macro indicators, and real-time signals from the Token Metrics platform, the current forecast is:

This outlook is supported by Token Metrics AI signals, which have maintained a bullish position since late June 2025.

🧠 How Token Metrics Helps You Navigate Bitcoin and Beyond

While Bitcoin is a macro asset, altcoins often outperform it in bull markets. Token Metrics helps investors identify these opportunities with:

🚀 Moonshots

Daily low-cap altcoin picks with 10x–100x potential
Live ROI, market cap, and trader grade metrics
AI-driven early discovery engine

📈 Real-Time Buy/Sell Signals

Bullish and Bearish alerts for BTC and altcoins
Delivered via Email, Slack, Telegram, and Discord
Investor and Trader Grades

Use Trader Grade for short-term trades
Use Investor Grade for long-term conviction picks

💹 Crypto Indices

Thematic portfolios (AI, RWA, Layer 1s, etc.)
Easy exposure to sectors likely to boom after BTC leads the rally

🔔 Take Action Today

If you’re looking to ride the current Bitcoin bull cycle and find the next big altcoins to complement your portfolio, start using Token Metrics today:

✅ Track real-time signals
✅ Discover early Moonshots
✅ Analyze risk with AI
✅ Make informed crypto investment decisions

👉 Sign up now at TokenMetrics.com

Crypto Basics

What Is Bitcoin Halving? Why It’s Crucial for Crypto Investors in July 2025

Token Metrics Team

8 min

MIN

In the ever-evolving world of cryptocurrency, few events carry as much long-term impact as the Bitcoin halving. For seasoned investors and newcomers alike, understanding Bitcoin halving is essential—not just to grasp how Bitcoin works, but to predict major market cycles and capitalize on new investment opportunities.

In this comprehensive, SEO-optimized guide, we’ll break down what Bitcoin halving is, how it works, why it matters to crypto investors, and how you can use Token Metrics’ AI-powered tools to navigate the markets before and after a halving event.

What Is Bitcoin Halving?

Bitcoin halving (or “halvening”) is a programmed event that occurs roughly every four years, where the block reward given to Bitcoin miners is cut in half.

Why It Happens:

Bitcoin was designed to have a maximum supply of 21 million coins. To control the rate at which new BTC enters circulation, Bitcoin's protocol reduces the mining reward by 50% every 210,000 blocks (approximately every four years).

A Quick History of Bitcoin Halvings

The next halving is expected around 2028, reducing the reward to 1.5625 BTC per block.

Why Is Bitcoin Halving Important?

✅ 1. Reduces Inflation Rate

Bitcoin halving slows the issuance of new BTC. After every halving, the inflation rate of Bitcoin drops, increasing scarcity. This contrasts with fiat currencies, which are often inflated through central bank printing.

✅ 2. Triggers Supply Shock

With fewer BTC entering circulation daily, supply is reduced. If demand remains the same or increases, price tends to go up—basic supply and demand economics.

✅ 3. Creates Market Cycles

Historically, halvings have preceded bull markets:

2012 halving → 2013 bull run
2016 halving → 2017 bull run
2020 halving → 2021 bull run
2024 halving → expected 2025 bull market

Smart investors use halving cycles to time their entries and exits.

Bitcoin Halving Impact: Historical Price Movements

These stats show why every halving becomes a critical entry point for crypto investors.

How Token Metrics Helps Investors Navigate Bitcoin Halving Cycles

While Bitcoin halving is a macroeconomic event, profiting from it requires micro-level strategy and data. That’s where Token Metrics comes in—a powerful AI-driven crypto research and trading platform that helps investors take full advantage of post-halving market conditions.

🔍 Token Metrics Features That Help Post-Halving

1. AI-Powered Ratings

Token Metrics uses machine learning to analyze 6,000+ crypto assets daily, providing:

Trader Grade – short-term momentum indicators
Investor Grade – long-term fundamental quality
Historical ROI Data – benchmark token performance over time

This is critical for identifying high-quality altcoins that typically surge after Bitcoin halvings.

2. Moonshots Engine – Discover Low-Cap Gems Early

After each halving, altcoins tend to follow Bitcoin’s lead. Token Metrics scans the entire market to detect undervalued low-cap tokens with 10x–100x potential.

Each Moonshot includes:

Entry date and live ROI
Market cap and 24H volume
Trader Grade and historical signals

You can track live performance or buy instantly using the integrated on-chain swap widget.

3. Bullish/Bearish Signals

Token Metrics issues AI-generated buy/sell signals on Bitcoin, Ethereum, and altcoins—crucial during volatile post-halving periods.

Use these signals to:

Confirm trend reversals
Set automated alerts
Capture optimal entry and exit points

4. Indices for Smart Diversification

‍

Want exposure to multiple post-halving winners?

Token Metrics offers AI-managed indices by:

Sector (AI, DeFi, RWA, Gaming)
Theme (Moonshot, Low Cap, Top 100)
Chain (Ethereum, Solana, Base)

These prebuilt portfolios allow you to ride sector rotations after Bitcoin surges.

5. Token Details Page

Every token has a detailed page including:

Fundamental data
Exchange listings
Top wallet holders
Live charting
Real-time grade movement

Use this to evaluate new investments and manage risk during the halving cycle.

When Should You Invest Around Bitcoin Halving?

✅ Before the Halving

Best for accumulating Bitcoin or high-conviction altcoins while prices are consolidating.

✅ After the Halving

Smart traders rotate into altcoins once Bitcoin begins trending upward.

**🧠 Use Token Metrics Moonshots and Signals to identify which tokens are gaining momentum post-halving.**

Pro Tips for Bitcoin Halving Trading in 2025

Don’t FOMO – Halvings are long-term cycles. Focus on quality entries and conviction.
Diversify – Allocate across Bitcoin, Ethereum, and select altcoins using TM Indices.
Set Alerts – Token Metrics lets you set custom alerts for price, volume, or grade changes.
Use ROI Benchmarks – Compare your tokens against past halving performance using Token Metrics' historical tools.
Build with AI Agents – Devs can use TM’s API & MCP Server to build bots that trade halving cycles automatically.

Final Thoughts: Why Bitcoin Halving Matters More Than Ever

The 2024 Bitcoin halving has already happened, and 2025 is positioned as a critical year for crypto investors. If history repeats, we’re in the early stages of the next major bull market.

But riding the halving wave requires more than blind luck. You need:

Data-backed research
Timing signals
Portfolio strategies
Altcoin discovery engines

With Token Metrics, you’re not guessing—you’re trading with AI precision, real-time alerts, and proven ROI frameworks.

Get Started Today

✅ Create your Token Metrics account: tokenmetrics.com
🚀 Explore Moonshots, Ratings, and Buy/Sell Signals
🧠 Use AI tools to trade smarter this halving cycle

🔔 Set alerts and never miss the next 10x opportunity

Crypto Basics

Best Crypto Exchanges and Apps in July 2025 – Why Token Metrics Leads in AI Crypto Trading

Token Metrics Team

8 min

MIN

The crypto market in July 2025 is booming, and investors—from beginners to pros—need the right tools to stay ahead. Whether you're trading Bitcoin, discovering new altcoins, or building an automated strategy, the best crypto exchanges and apps are essential for seamless investing.

In this comprehensive and SEO-optimized guide, we’ll review the top crypto exchanges and mobile apps for July 2025, and explore why Token Metrics stands out as the #1 AI-powered crypto research and trading platform.

What to Look for in a Crypto Exchange or App

Before diving into the top picks, let’s cover what defines a great crypto exchange or trading app in 2025:

✅ Security: 2FA, cold storage, and audit transparency
✅ User Interface: Easy navigation for beginners and advanced tools for pros
✅ Low Fees: Competitive trading, deposit, and withdrawal fees
✅ Variety of Coins: Access to trending and low-cap altcoins
✅ Mobile Functionality: Apps that support full trading, portfolio tracking, and alerts
✅ Research Tools: In-depth market analytics, signals, and alerts

Top 5 Crypto Exchanges and Apps in July 2025

1. Binance – Best for Advanced Trading and Global Liquidity

Binance remains the largest and most liquid centralized exchange globally in 2025. It supports 600+ cryptocurrencies, low trading fees (0.1%), and high-speed performance.

Key Features:

Spot, margin, and futures trading
Launchpad and staking products
Advanced trading dashboard
Wide mobile app compatibility

Best For: Active traders, global users, and DeFi explorers

2. Coinbase – Best for U.S. Compliance and Beginners

Coinbase continues to dominate the U.S. market due to its strong regulatory reputation and user-friendly interface.

Key Features:

Easy fiat on-ramp (USD, GBP, EUR)
High-level security and insurance
Coinbase Learn to earn crypto while learning
Now supports Web3 dApps and NFTs

Best For: Beginners, U.S.-based users, and compliant long-term investors

3. Kraken – Best for Security and Institutional Access

Kraken’s strong emphasis on compliance, security, and staking makes it a favorite among institutions and security-conscious users.

Key Features:

Institutional-grade custody
Margin and futures markets
24/7 customer support
Transparent proof-of-reserves

Best For: Long-term investors, institutions, and security-focused users

4. Bitget – Best for Copy Trading and Derivatives

Bitget has quickly become one of the most popular apps for copy trading and derivatives in 2025. With advanced tools for automation and mobile execution, Bitget attracts both retail and pro traders.

Key Features:

Copy trading with top traders
Low fees on perpetual contracts
AI-powered trading signals
Sleek mobile UI

Best For: Derivatives traders, social traders, and mobile-first investors

5. OKX – Best for Web3 and Earn Features

OKX is increasingly becoming a one-stop hub for trading, DeFi, and NFTs. Its Web3 wallet and DEX integration make it ideal for users exploring beyond centralized trading.

Key Features:

Deep liquidity and low fees
Integrated Web3 wallet
Earn, staking, and lending products
NFT marketplace access

Best For: Hybrid CEX/DEX traders and passive earners

Why Token Metrics Is the Best AI Crypto Research and Trading Platform

While exchanges allow you to execute trades, Token Metrics empowers you with the intelligence to make the trades.

🔍 What Is Token Metrics?

Token Metrics is an AI-powered crypto research platform that combines:

In-depth token ratings (Investor & Trader Grades)
Real-time buy/sell signals
Daily Moonshot altcoin picks
Custom alerts and integrated swap
Market indices and portfolio tools

It’s not an exchange—it's your personal crypto analyst, portfolio strategist, and AI trading assistant all in one.

📈 Top Features of Token Metrics in 2025

1. Moonshots – Discover Early-Stage 100x Altcoins

Token Metrics AI scans 6,000+ tokens daily to find low-cap tokens with massive upside potential. Each Moonshot comes with:

Entry date and price
Live ROI tracking
Real-time grades and volume data
Buy button via on-chain swap

2. AI Token Grades

Trader Grade (short-term momentum)
Investor Grade (long-term fundamentals)
Backtested across bull and bear markets for accuracy

3. Buy/Sell Signals

AI-generated Bullish and Bearish indicators
Available via email, Telegram, Slack, and more
Perfect for scalping or swing trading

4. Portfolio Management Tools

Prebuilt indices by sector, chain, or risk
Live PnL tracking
Alerts based on grade changes or price movements

5. Unified Crypto API (MCP Server)

For developers building bots and agents
Integrates with OpenAI, Claude, Cursor, and Raycast
One key, all clients, consistent data

🛠️ Token Metrics vs. Crypto Exchanges: A Powerful Combo

‍

Combine Token Metrics for research and crypto trading = the smartest crypto trading stack in 2025.

How to Use Token Metrics with Your Exchange

Research Tokens on Token Metrics
- Visit tokenmetrics.com
- Check the Ratings or Moonshots tab
- Evaluate Trader Grade, price momentum, and live signals
Click “Buy” on Token Metrics
- Use the integrated on-chain swap widget to buy directly
- Or copy the token address and execute the trade on your preferred exchange or DEX
Set Alerts and Monitor
- Use custom alerts to get notified on Telegram, email, or Slack
- Monitor Moonshots' ROI in real time

Final Thoughts: Choose Intelligence, Not Just Access

Crypto exchanges are your access points to the market. But intelligence is what drives profitability.

In July 2025, the smartest investors are:

Using Binance, Coinbase, or Bitget for execution
Using Token Metrics for research, strategy, and automation

Whether you're trading daily or building a long-term portfolio, Token Metrics is the AI brain behind your crypto success.

Ready to Start?

✅ Create a free account at tokenmetrics.com
✅ Access token ratings, Moonshots, and live signals
✅ Combine with your favorite exchange for execution
✅ Build a smarter, faster, more profitable crypto strategy today

Crypto Basics

How to Find Early Stage Altcoins for 100x Returns in Jully 2025

Token Metrics Team

8 min

MIN

In the fast-moving world of crypto, finding the right early-stage altcoin could be the difference between average returns and life-changing wealth. While most traders chase trends, the smart money hunts for undervalued gems before they explode. These are called moonshots—and in this guide, you'll learn exactly how to find them using Token Metrics, the #1 AI-powered crypto research and trading platform.

What Is a Moonshot in Crypto?

A moonshot is an early-stage cryptocurrency or altcoin with high upside potential—often capable of delivering 10x, 50x, or even 100x returns if discovered before the mainstream catches on.

Moonshots typically:

Have low market caps (often under $50M)
Are in emerging sectors (AI, DePIN, Layer 2s)
Are backed by strong fundamentals, narrative, or tokenomics
Haven’t yet been listed on major centralized exchanges

The term comes from the idea of a token’s price “shooting to the moon.” But finding these tokens is not easy—unless you're using a powerful discovery engine like Token Metrics.

Why Most Traders Miss Moonshots

Most traders rely on:

Social media hype
Influencer calls
Discord rumors
Price chasing

But by the time a token hits your Twitter feed or a YouTube video, it’s often too late. The early gains are already gone.

Token Metrics solves this problem using AI-driven data analysis. Instead of following the crowd, it helps you get in before the hype.

How to Find Moonshots on Token Metrics

Token Metrics has built an entire feature called Moonshots that curates high-potential altcoins for you, powered by machine learning and 80+ data points across fundamentals, technicals, and sentiment.

Here’s how you can start spotting moonshots in minutes:

How to Use Token Metrics to Find Moonshots

Step 1: Go to the Ratings Page

From the Token Metrics dashboard, click the Ratings tab.
This is the core engine where all tokens are ranked based on Trader Grade, Investor Grade, and recent performance trends.

Step 2: Click on the “Moonshots” Tab

Inside the Ratings page, select the Moonshots tab at the top.
This filters and displays tokens that the Token Metrics AI system has flagged as potential moonshots—before they pump.

Step 3: Review Key Metrics

Each Moonshot token includes vital data to help you evaluate:

Trader Grade (AI prediction score for short-term upside)
24H volume and market cap (for liquidity context)
Date of entry (when the token entered Moonshots)
Live ROI (real-time performance since Moonshot call)

You can also switch to Past Moonshots to view how previous picks performed over 7 or 14 days. Many have seen 100%–900% gains within days of being listed.

Step 4: Choose a Token to Explore

Click on any token to open its Token Details Page.
Dive into real-time charts, trend metrics, fundamental scores, and top wallet holders.
You’ll also see its Investor Grade, team insights, and code audits—helping you build conviction before investing.

Step 5: Buy in Seconds

Ready to act? Just click the “Buy” button on the Moonshots page.
This opens an embedded swap widget, letting you purchase the token directly via on-chain swap—without leaving the platform.

Why Token Metrics Moonshots Beat Traditional Research

Traditional research is slow, noisy, and often biased. Token Metrics eliminates human emotion and surfaces tokens based on:

AI Trend Detection: Finds breakouts before they happen.
Multi-Metric Analysis: Combines on-chain, technical, fundamental, and sentiment data.
Proven ROI: Dozens of past Moonshots have delivered 10x to 50x gains—all transparently tracked.
Speed & Convenience: Real-time alerts and in-app swap make execution seamless.

Pro Tips for Moonshot Hunting

Focus on Low-Cap Projects: The lower the market cap, the higher the upside (and risk).
Look for Fresh Entries: New entries to the Moonshots list often offer the best risk-reward.
Use Custom Alerts: Set alerts by price change, grade increase, or signal triggers.
Check the Narrative: DePIN, RWA, AI, Layer 2s, and Gaming are trending in mid-2025.
Join the Community: Token Metrics Discord and Telegram groups often share early insights and case studies.

Getting Started with Token Metrics Moonshots

Token Metrics offers a 7-day free trial, giving you full access to the Moonshots engine, Ratings, and Signals. Here’s how to start:

Sign up at tokenmetrics.com
Navigate to Ratings → Moonshots
Explore current Moonshot candidates
Click Buy when you're ready to invest

No more chasing pumps. No more gambling on unknown tokens. Token Metrics gives you data-backed conviction for every trade.

Final Thoughts

Finding early-stage altcoins with 100x potential used to require luck, insider info, or hours of deep research. In 2025, Token Metrics Moonshots makes it possible for everyday investors to compete with the pros using AI.

If you're serious about catching the next big breakout before the crowd, Token Metrics is the tool you need. Stop guessing. Start moonshot hunting.

Crypto Basics

How to Find New Altcoins Before They Moon in July 2025 – Token Metrics Method

Token Metrics Team

8 min

MIN

The Ultimate Guide to Spotting Crypto Moonshots with Token Metrics

In the fast-paced world of cryptocurrency, discovering the next big altcoin before it "moons" is the difference between average gains and life-changing returns. With thousands of new tokens launching every year, the challenge lies not in finding tokens—but in finding the right tokens early. In 2025, retail and institutional investors alike are relying on advanced data, AI, and predictive analytics to uncover hidden gems. This is where Token Metrics has become the go-to platform for spotting moonshot altcoins before they take off.

In this guide, we’ll show you exactly how to find new altcoins before they moon, using a proven, AI-powered method that’s already helped thousands of investors ride the next 10x, 50x, and even 100x wave.

What Is a Moonshot in Crypto?

A moonshot is a low-cap altcoin with the potential for explosive returns. These are often newer projects with market caps under $100 million, strong fundamentals, growing narratives, and clear upside potential. Moonshots aren't about blind hype—they're about data-backed asymmetric opportunities that reward early conviction.

The goal is to identify these tokens before they hit mainstream attention or listings on major exchanges.

Why Finding Altcoins Early Matters

If you bought Ethereum at $10, Solana at $0.50, or Polygon at $0.02, your returns would be astronomical today. The crypto market is uniquely positioned to reward early adopters. But with thousands of tokens to sift through, how can you realistically find tomorrow’s winners today?

The answer lies in using Token Metrics—a platform built to identify moonshots before they pump.

The 2025 Method: Using Token Metrics to Find Moonshots

Token Metrics has developed an AI-powered rating system that scans the market 24/7, analyzing over 80+ data points per token. Their Moonshots tab is designed specifically for users looking to spot early-stage altcoins before they break out.

Here’s a step-by-step walkthrough of how to use Token Metrics to find the next altcoin moonshot:

Step 1: Go to the Ratings Page

Start from the main Token Metrics dashboard and click on the Ratings tab. This is the core area where tokens are ranked using AI-based Trader Grades. The ratings consider price performance, momentum, sentiment, volatility, volume, and dozens of other signals.

This tab is where the research begins, giving you a bird’s-eye view of tokens that are gaining traction.

Step 2: Click on the “Moonshots” Tab

Within the Ratings page, click on the Moonshots tab at the top. This is a specially curated view that filters for tokens meeting specific low-cap, high-upside criteria.

Token Metrics identifies these moonshots using proprietary algorithms that detect:

Undervalued tokens with rising volume
High potential sectors like AI, DePIN, RWAs, and new L1s
AI trend signals showing strong price trajectory and narrative strength

It’s like having a crypto hedge fund analyst at your fingertips—except it’s instant and always available.

Step 3: Review Key Moonshot Metrics

Each token listed in the Moonshots tab displays the following key information:

Trader Grade: A percentage-based score that reflects short-term trading potential
Change in Grade: Tracks momentum and recent upgrades
Market Cap: Helps you identify early-stage tokens under $100M
24-Hour Volume: Indicates liquidity and market interest
Date of Entry: When the token was first flagged as a moonshot
Live ROI Since Moonshot: Real-time performance tracking to measure past picks

You can also toggle to Past Moonshots to evaluate how previous selections performed. Many tokens flagged here have posted 20–100x gains during previous cycles.

Step 4: Choose a Token to Explore

Click on any token that stands out to access its Token Details Page. This page provides a deep dive into each altcoin’s:

Live price chart with technical analysis overlays
Project fundamentals and whitepaper
Exchange listings and on-chain activity
Whale holders and top wallet addresses
AI-based Investor Grade for longer-term potential

This page allows you to perform your due diligence without having to leave the platform. You can compare token metrics across categories, assess community sentiment, and get a well-rounded view before investing.

Step 5: Buy in Seconds

Once you’ve identified a moonshot you’re ready to invest in, you don’t need to leave Token Metrics. Just click the Buy button directly from the Moonshots tab to open the integrated Swap Widget.

This feature allows you to execute trades instantly using your connected Web3 wallet (like MetaMask). You can swap from stablecoins like USDC or ETH directly into the altcoin of your choice, removing the need for centralized exchanges.

Bonus: Use Token Metrics GPT to Ask AI for Moonshot Picks

Token Metrics now includes Token Metrics GPT, an AI chatbot that helps you find tokens using natural language.

For example, you can ask:

“What are the best altcoins under $50M right now?”
“Which tokens have the highest ROI since being listed as a moonshot?”
“What moonshot tokens are trending in the DePIN sector?”

The AI will return data-backed answers in seconds, eliminating hours of research.

Tips for Finding New Altcoins Before They Moon

Here are a few extra tips to maximize your success:

Look at narrative trends: AI, DePIN, Modular Chains, RWAs, and SocialFi are hot in 2025.
Use Trader Grade momentum: Tokens with rising grades often front-run pumps.
Compare Past Moonshots: History doesn’t repeat—but it often rhymes.
Act early, not late: Buying before the crowd arrives is key to 10x+ returns.

Final Thoughts: Don’t Chase the Pump—Find It Before It Starts

Finding the next altcoin moonshot doesn’t have to be a guessing game. With tools like Token Metrics, you gain access to institutional-grade analytics, AI-generated picks, and real-time insights that help you get ahead of the market—not behind it.

The 2025 method isn’t about FOMO—it’s about strategic discovery. If you’re ready to stop chasing hype and start spotting moonshots like a pro, Token Metrics is the platform to start with.

Crypto Basics

Top 10 Crypto Venture Capital Funds for Investment in July 2025

Token Metrics Team

8 min

MIN

Crypto venture capital (VC) is evolving rapidly, driving innovation across Web3, blockchain infrastructure, DeFi, AI, and tokenized assets. As the crypto market matures, venture capital firms that identify and back high-potential projects are shaping the future of finance and technology.

In 2025, savvy investors and founders alike are turning to leading crypto VC funds for capital, connections, and credibility. These firms are not just investors—they’re ecosystem builders.

Here are the 10 best crypto venture capital funds to watch and invest alongside in 2025, whether you’re a retail investor following their portfolio, a founder raising capital, or an institutional player tracking Web3 trends.

1. Token Metrics Ventures

Overview:
Token Metrics Ventures (TMV) stands at the intersection of AI-powered analytics and high-conviction early-stage investing. Leveraging proprietary on-chain data, predictive AI models, and investor-grade metrics, TMV identifies moonshot crypto projects long before they trend.

Why It’s Hot in 2025:

TMV leverages data from the Token Metrics Research and Trading Platform, giving it an unparalleled edge in scouting high-alpha investments.
Backed successful early-stage tokens in DePIN, AI, and L2 rollup ecosystems.
Offers public transparency into portfolio performance through the Token Metrics Index.

Notable Investments:
Our notable investments are, Pixels, Vana, Andrena, Peaq, My Pet Hooligans, 0G Labs and Nillion. You can also add a link to our portfolio page.

Edge:
AI-first investing methodology that rivals traditional research firms, giving TMV a futuristic edge in discovering breakout assets before the herd.

2. Digital Currency Group (DCG)

Overview:
Founded in 2015, DCG is one of the earliest and most influential crypto-focused venture capital firms. DCG is the parent company of Grayscale, Foundry, and formerly CoinDesk.

Why It’s Hot in 2025:

Despite facing challenges in 2023–2024, DCG has restructured and returned with a sharper focus on Layer 2s, RWA tokenization, and institutional-grade infrastructure.
Its strategic relationship with Grayscale offers unique exposure to regulated crypto products.

Notable Investments:
Chainalysis, Circle, Fireblocks, and Coinbase (pre-IPO).

Edge:
Massive institutional network and historical pedigree as an early mover.

3. Multicoin Capital

Overview:
Multicoin Capital is a research-driven crypto VC fund focused on long-term bets in token economies, especially around smart contract platforms and DeFi.

Why It’s Hot in 2025:

Multicoin doubled down on Solana ecosystem plays and modular blockchain infrastructure in 2024–2025.
Actively invests in open-source middleware, oracle systems, and AI x crypto crossovers.

Notable Investments:
Solana, Helium, Render, and LayerZero.

Edge:
Deep thesis development, frequent publication of detailed investment memos, and contrarian bets that often pay off big.

4. Distributed Global

Overview:
Distributed Global focuses on building out foundational blockchain infrastructure, including scalability, privacy, and cross-chain interoperability.

Why It’s Hot in 2025:

Quietly involved in powering modular ecosystems like Celestia, EigenLayer, and Appchains.
Maintains a strong technical team with deep protocol-level insight.

Notable Investments:
StarkWare, zkSync, and Arweave.

Edge:
Strong technical due diligence and early backing of scalable blockchain solutions.

5. Dragonfly Capital

Overview:
Dragonfly Capital is a global venture capital firm that bridges crypto ecosystems between the U.S., Asia, and Europe.

Why It’s Hot in 2025:

Strong focus on liquidity provisioning, trading infrastructure, and multi-chain development.
Strong ties with centralized exchanges and DeFi protocols.

Notable Investments:
1inch, Amber Group, MakerDAO, and NEAR Protocol.

Edge:
Cross-border insight and the ability to scale projects globally across diverse regulatory landscapes.

6. YZi Labs (formerly Binance Labs)

Overview:
YZi Labs emerged in 2025 following the spinout and rebranding of Binance Labs. It retains the same DNA: a hyperactive investor in seed-stage Web3 startups with a strategic exchange distribution edge.

Why It’s Hot in 2025:

Despite regulatory shake-ups, YZi Labs has doubled down on AI x Web3, GameFi, and Real World Assets (RWA).
Still benefits from exchange-native insight and product-market fit validation via Binance listings.

Notable Investments:
DODO, Dune Analytics, Trust Wallet, and numerous Binance Launchpad tokens.

Edge:
Massive retail distribution power and exchange insights few others can replicate.

7. Coinbase Ventures

Overview:
Coinbase Ventures is the venture capital arm of Coinbase, one of the world’s largest and most regulated crypto exchanges.

Why It’s Hot in 2025:

Continues to back strategic ecosystem plays that align with Coinbase’s product roadmap and regulatory direction.
Focuses on identity, compliance tooling, and tokenized securities.

Notable Investments:
OpenSea, Compound, Alchemy, and BlockFi.

Edge:
Strong synergy with Coinbase product launches and listing potential for portfolio companies.

8. NGC Ventures

Overview:
NGC (Neo Global Capital) Ventures is a globally recognized fund based in Asia with a strong track record in infrastructure and protocol-level investments.

Why It’s Hot in 2025:

Focus on Asia-Pacific blockchain adoption trends.
Strong interest in DePIN, AI-powered consensus models, and zero-knowledge cryptography.

Notable Investments:
Algorand, Oasis, and Thorchain.

Edge:
Access to emerging Asian markets and strong strategic partnerships with local governments and enterprises.

9. The Spartan Group

Overview:
The Spartan Group is an Asia-based crypto VC and advisory firm, known for high-conviction investments in DeFi and Layer 1 ecosystems.

Why It’s Hot in 2025:

Expanded its portfolio into permissionless AI tools, modular consensus, and tokenized derivatives.
Maintains a boutique, high-touch approach to investments.

Notable Investments:
dYdX, Aave, Terra (before the collapse), and Pendle.

Edge:
Highly thesis-driven and nimble with an elite advisory network.

10. Polychain Capital

Overview:
Founded by Olaf Carlson-Wee, Polychain Capital is one of the largest crypto-native VC funds and remains a powerful force in the space.

Why It’s Hot in 2025:

Polychain continues to double down on privacy-preserving tech, zk rollups, and cross-chain solutions.
Early investor in bleeding-edge projects in cryptography, AI, and DAOs.

Notable Investments:
Filecoin, Avalanche, Tezos, and Compound.

Edge:
Massive AUM, strong LP network, and deep conviction in crypto’s long-term vision.

Conclusion: How to Leverage These Funds as an Investor

You don’t need to be a millionaire LP to benefit from the research and capital allocation of top crypto venture funds. Here’s how:

Track their portfolio: Use tools like Token Metrics, CryptoRank, and Messari to follow what these VCs are investing in.
Mirror their trades: Look for public tokens in their portfolios and evaluate entry points.
Join their ecosystems: Many funds support incubators and hackathons—ideal for developers and builders.

In 2025, VCs will be the kingmakers of crypto. By following their moves, retail investors can gain a massive edge in identifying the next moonshot projects before they explode.

Announcements

Moonshots by Token Metrics – Daily AI Crypto Picks with Breakout Potential

Token Metrics Team

8 min

MIN

How to Find Crypto Moonshots: Your Ultimate Guide to Token Metrics AI-Powered Trading

Introduction: Why Most Crypto Traders Miss the Best Moonshots

The crypto market moves fast. With thousands of new tokens launching weekly, finding legitimate crypto moonshots before they explode is nearly impossible for manual traders. Altcoin moonshots and meme coin moonshots can deliver 10x-100x returns, but only if you spot them early.

Most traders waste time scrolling through endless charts, following unreliable crypto influencers, and trying to interpret conflicting signals. They miss the best crypto moonshots because they lack proper token metrics analysis and end up buying the top instead of the bottom.

That's exactly why Token Metrics built Moonshots — your 24/7 AI researcher that identifies high-potential crypto opportunities using advanced token metrics analysis.

What Are Token Metrics Moonshots?

Token Metrics Moonshots is a daily AI-powered shortlist featuring the top crypto tokens with legitimate breakout potential. Unlike typical crypto signal groups, Moonshots uses institutional-grade AI to analyze:

Token metrics including volume, volatility, and market cap
Altcoin moonshots with strong technical indicators
Meme coin moonshots showing viral potential
On-chain activity and wallet movements
Market sentiment and social media buzz
AI Trader Grades based on 80+ data points

The result? A curated daily feed of crypto moonshots that are actually moving, backed by comprehensive Token Metrics analysis.

Why Moonshots Outperforms Traditional Crypto Analysis

1. AI-Powered Accuracy with 65% Win Rate

Moonshots aren't based on hype or guesswork. Our AI system maintains a 65% historical win rate by analyzing:

Volume and volatility patterns
Token metrics fundamentals
Cross-platform sentiment analysis
On-chain activity indicators
Technical breakout signals

2. One-Click Trading Integration

Found a promising crypto moonshot? Execute trades instantly with integrated one-click trading. No platform switching, no missed opportunities — just seamless execution when altcoin moonshots and meme coin moonshots are ready to move.

3. Real-Time Moonshot Alerts

Never miss another 10x opportunity. Moonshots delivers real-time alerts the moment new crypto moonshots are identified, ensuring you're always first to capitalize on emerging token metrics opportunities.

The Moonshot Advantage: Turning $1,000 Into $20,000+

Our internal backtesting shows that compounding $1,000 using daily Moonshots picks with proper risk management could potentially grow to $30,000 in a year. This demonstrates the power of AI-vetted crypto moonshots over random trading.

Key success factors:

Early entry on altcoin moonshots before mainstream adoption
Meme coin moonshots caught during initial viral phases
Token metrics analysis preventing investment in weak projects
Systematic approach to crypto moonshots rather than emotional trading

This isn't financial advice — it's AI-powered research giving you an edge most traders lack.

How to Use Token Metrics Moonshots: Step-by-Step Guide

Step 1: Access the Ratings Dashboard

From your Token Metrics dashboard, navigate to the Ratings tab where all tokens are ranked by trader grade and recent performance metrics.

Step 2: Click the "Moonshots" Tab

Inside the Ratings page, select the Moonshots tab to view current crypto moonshots and altcoin moonshots with breakout potential.

Step 3: Analyze Key Token Metrics

Each Moonshot displays crucial data:

Trader Grade and recent grade changes
24-hour volume and market cap
Entry date and timing
Live ROI since Moonshot designation
Historical performance data

Switch to "Past Moonshots" to review how previous crypto moonshots performed over 7-14 day periods.

Step 4: Deep Dive Token Analysis

Click any token to access its detailed page featuring:

Real-time price charts and technical indicators
Fundamental token metrics analysis
Top holder information and distribution
Community sentiment and social metrics

Step 5: Execute Trades in Seconds

Ready to buy? Click the "Buy" button directly from the Moonshots page to open the integrated swap widget and execute your crypto moonshots trades instantly.

Who Benefits Most from Moonshots?

Token Metrics Moonshots is designed for:

Day traders seeking fresh crypto moonshots setups every morning
Investors hunting altcoin moonshots before mainstream discovery
Busy professionals who can't monitor markets 24/7
Crypto newcomers wanting expert guidance on meme coin moonshots
Experienced traders looking to enhance their token metrics analysis

Why Token Metrics Leads Crypto Analytics

Token Metrics isn't just another analytics platform. We've built a comprehensive ecosystem combining:

Institutional-grade AI for token metrics analysis
Crypto-native research focused on moonshots
Real-time trading tools for immediate execution
Simplified user experience for all skill levels

Our Ratings, Grades, Indices, and Moonshots all serve one mission: help you profit from crypto moonshots with less effort and better results.

Your AI Edge for the Next Crypto Bull Run

Everyone wants to catch the next 100x crypto moonshot, but most traders lack the tools to spot altcoin moonshots and meme coin moonshots early. Token Metrics Moonshots gives you that critical edge.

✅ Backed by AI with proven token metrics analysis
✅ Tested by data with 65% historical win rate
✅ Delivered daily with real-time alerts
✅ Integrated trading for instant execution

The next time a token moons, ask yourself: "Did I see this coming, or did I miss it again?"

With Token Metrics Moonshots, you'll be early — every time.

Start Finding Crypto Moonshots Today

Moonshots is LIVE! Your first curated crypto moonshots picks are already waiting, complete with comprehensive token metrics analysis.

Ready to discover the next altcoin moonshots and meme coin moonshots before they explode?

👉 Click here to unlock Moonshots

Start trading smarter with AI-powered token metrics analysis. Let your AI researcher find the next crypto moonshot while you sleep.

Disclaimer: Cryptocurrency trading involves substantial risk. Past performance doesn't guarantee future results. Always conduct your own research and consider your risk tolerance before trading.

Research

How to Find Low Cap Altcoins with Maximum Growth Potential | Token Metrics Moonshots

Token Metrics Team

8 min

MIN

Cryptocurrency is one of the few markets where small investments can turn into life-changing gains—if you know where to look. The secret? Low cap altcoins with strong fundamentals, fresh narratives, and early momentum. These are often called moonshots—tokens that can 10x, 50x, or even 100x your portfolio.

But with thousands of projects launching every year, how do you separate noise from real opportunity?

This is where Token Metrics, the industry’s most powerful crypto analytics platform, gives you a massive edge. In this guide, you’ll learn exactly how to find high-potential low cap altcoins before they explode.

What Are Moonshots?

In crypto, a moonshot refers to a token that’s expected to deliver exponential returns—usually 10x or more—within a short to medium timeframe. These tokens often:

Have a market cap below $50 million
Are newly launched or under-discovered
Operate in trending sectors like AI, DePIN, L2s, or Real-World Assets
Are supported by strong narratives or early whale interest

Moonshots are high-risk, high-reward plays. They may not have widespread recognition yet, but they often show early signs of momentum—and if timed correctly, they can outperform even the biggest names in crypto.

How Do Moonshots Work?

Moonshots usually follow a predictable cycle:

1. Discovery Phase

Savvy traders, insiders, or analysts begin accumulating the token quietly. There’s little public attention, but strong fundamentals or a promising narrative.

2. Hype Trigger

Something sparks attention—this could be an influencer tweet, exchange listing, or key milestone. Volume begins to rise.

3. FOMO Phase

Retail investors pour in as the token gains traction. Price rallies dramatically in a short period.

4. Profit-Taking

Early entrants sell, leading to price volatility. If the project has long-term merit, it may consolidate and rally again. If not, it could retrace sharply.

The goal is to get in early—before the FOMO begins. And that’s where Token Metrics shines.

Why Token Metrics Is the Best Platform for Finding Moonshots

Token Metrics is an AI-powered crypto research platform that filters through thousands of tokens daily to highlight only those with real upside potential. Its proprietary Moonshots feature is specifically designed to uncover undervalued low cap altcoins before they trend on X (Twitter), YouTube, or Telegram.

Key Benefits:

✅ AI-powered ratings based on technical, on-chain, and fundamental data
✅ Real-time moonshot detection with transparent performance tracking
✅ Seamless trading integration for quick entries
✅ Past Moonshot ROI tracking to evaluate model accuracy
✅ Bullish signal alerts and whale activity monitoring

Token Metrics doesn’t just show you what's trending—it shows you what’s about to trend.

How to Use Token Metrics to Find Moonshots

Here’s a step-by-step guide to using Token Metrics to discover low cap altcoins with maximum growth potential:

✅ Step 1: Go to the Ratings Page

From your Token Metrics dashboard, click on the “Ratings” tab.
This is where thousands of tokens are ranked daily based on Trader Grade (short-term upside) and Investor Grade (long-term fundamentals).

These scores are derived using over 80 data points, including:

Price momentum
Volume analysis
Sentiment scores
On-chain activity
Developer and GitHub activity

✅ Step 2: Click on the “Moonshots” Tab

At the top of the Ratings page, you’ll see the Moonshots tab—click it.

This tab highlights AI-flagged altcoins with breakout potential. These tokens are typically:

Low to mid-cap
Recently showing an upward trend in volume or price
Exhibiting bullish on-chain signals
Gaining attention in social channels

These are the best candidates for fast and explosive growth.

✅ Step 3: Review Key Metrics

Each token in the Moonshots section displays several key data points:

Trader Grade and its change over time
24-Hour Volume – is attention building?
Market Cap – lower cap means higher potential upside
Date of Entry – when the token was first flagged
Live ROI Since Entry – how the pick has performed since being listed

You can also switch to the Past Moonshots tab to review historical picks and how they played out over 7–14 days. This transparency gives you confidence in the AI’s track record.

✅ Step 4: Choose a Token to Explore

Click on any token to open its Token Details Page.

Here, you’ll get in-depth analysis, including:

Live price chart
Key technical indicators (MACD, RSI, moving averages)
Tokenomics and utility breakdown
Whale wallet activity and top holders
Fundamental metrics like team, roadmap, and ecosystem

Use this data to perform a quick due diligence check before buying. This helps reduce risk and boost conviction.

✅ Step 5: Buy in Seconds

Once you’ve selected a moonshot you like:

Click the “Buy” button directly from the Moonshots page.
A swap widget will open, allowing you to purchase the token using your connected wallet.
You can buy directly from decentralized exchanges (DEXs) without leaving the platform.

This seamless flow—from research to execution—makes it incredibly easy to act quickly, which is crucial in fast-moving markets.

Real Examples of Moonshots That Delivered

Here are just a few examples of tokens previously flagged in Token Metrics Moonshots:

Gorbagana – Gained over 50% in a day
Useless Coin – Jumped 40% in 24 hours
Startup Coin – Delivered a 9x return over a month

These weren’t hyped on mainstream platforms—Token Metrics identified them early using AI-based indicators and on-chain data.

Final Thoughts: Find Your Next 100x

Finding low cap altcoins with maximum growth potential doesn’t have to be based on luck or hype. With the right tools, strategy, and platform, you can identify moonshots before they go parabolic.

Token Metrics Moonshots gives you the insights, data, and tools needed to make smarter, faster, and more confident trading decisions. From AI-powered ratings to seamless swap integration, it’s your all-in-one dashboard for finding the next big crypto opportunity.

So if you're serious about building wealth in the next bull run, don’t just follow the herd—get ahead of it.

🚀 Start your 7-day free trial at and unlock real-time access to Moonshots.

Crypto Basics

How to Find Undervalued Altcoins That Could 100x | Token Metrics Moonshots

Token Metrics Team

8 min

MIN

In the fast-paced world of crypto, finding an altcoin before it explodes is every investor’s dream. The reality? Most people arrive too late—after the hype, after the parabolic move, and after the gains are gone. But what if there was a way to spot these undervalued altcoins before they skyrocket?

In this guide, we’ll show you how to find 100x altcoins early using a proven strategy powered by Token Metrics Moonshot Ratings. Whether you're a seasoned trader or a curious beginner, this step-by-step framework will help you identify tokens that are flying under the radar—but not for long.

What Are Moonshots?

In crypto, a moonshot is a token with the potential to deliver extraordinary returns, sometimes as high as 100x or even 1000x. These tokens typically start with:

Low market cap
High volatility
Speculative narratives
Early-stage community engagement

While some moonshots are driven by memes or hype, the best ones are backed by emerging narratives, strong tokenomics, and real momentum. The trick is to find them before they hit mainstream attention.

How Moonshot Altcoins Work

Moonshots follow a pattern:

Early Accumulation Phase
Smart money—whales, insiders, or savvy analysts—start quietly buying the token while it’s still underpriced and unknown.
Sentiment + Volume Spike
Word begins to spread. Crypto Twitter, Telegram groups, and early backers begin to create buzz. This brings in more liquidity and attention.
Parabolic Price Action
As FOMO (Fear of Missing Out) kicks in, the price goes vertical. Retail investors pile in. This is when the token moons.
Top and Correction
The token either consolidates, retraces, or crashes as early investors take profits and late entrants get burned.

Your goal? Enter in Phase 1 or early Phase 2, before everyone else sees the opportunity.

So how do you do that? With data—not hype.

How to Use Token Metrics to Find Moonshots

Token Metrics is one of the most powerful AI-driven platforms for crypto research. It helps you filter out the noise and identify undervalued altcoins with moonshot potential based on over 80 data points including technicals, fundamentals, on-chain activity, and sentiment.

Here’s a step-by-step guide to using Token Metrics’ Moonshots feature:

✅ Step 1: Go to the Ratings Page

Once you log in to Token Metrics, head over to the Ratings tab.

This is the heart of the platform, where every token is scored using:

Trader Grade – Best for short-term price action predictions
Investor Grade – Better for long-term conviction

You’ll see a ranked list of tokens with up-to-date analytics based on market behavior.

Tip: Sort by Trader Grade change to find tokens gaining momentum fast.

✅ Step 2: Click on the “Moonshots” Tab

Inside the Ratings page, look for the Moonshots tab near the top.

This is where Token Metrics highlights altcoins with breakout potential, flagged by proprietary AI models that monitor price anomalies, trend shifts, volume surges, and social indicators.

Only tokens that meet strict short-term upside criteria make it into this section.

✅ Step 3: Review Key Metrics

Each token in the Moonshots tab is presented with a powerful summary:

Trader Grade + % change
24H Volume – Is money flowing in?
Market Cap – Lower cap = more potential for exponential growth
Date of Entry – How long has it been flagged as a moonshot?
Live ROI Since Entry – See how the token has performed since it was added to the list

Want to verify the track record? Switch to “Past Moonshots” to see historical picks and their 7–14 day performance.

✅ Step 4: Choose a Token to Explore

Click on a token to open its Token Details Page—this is where the real research begins.

You'll find:

Live chart and price action
On-chain data and sentiment
Top holders (including whales and smart wallets)
AI-generated technical indicators
Narrative tags (e.g., AI, DePIN, L2, Gaming)

This page helps you validate whether a moonshot token is worth the risk.

Is the project active on GitHub? Is the community growing? Are whales accumulating? All signs that a moonshot may be ready to launch.

✅ Step 5: Buy in Seconds

Found a token you like?

Token Metrics makes it easy to act:

Just click the Buy button from the Moonshots page.
This launches a swap widget integrated with top decentralized exchanges.
Choose your wallet, confirm the trade, and you're in—without ever leaving the platform.

This removes friction and saves time, especially when speed is critical.

Why Token Metrics Moonshots Beat Traditional Research

There are thousands of altcoins on the market—and most of them are noise. Token Metrics uses machine learning, real-time market signals, and historical backtesting to filter the noise and show you only the most promising tokens.

Key Advantages:

✅ AI-Driven: Eliminates emotional bias
✅ Real-Time Updates: Stay ahead of the crowd
✅ Transparent ROI: Know which Moonshots actually delivered
✅ Built-In Execution: One-click buy function saves time

Whether you're a degen chasing 10x tokens or a professional building a data-backed portfolio, Token Metrics gives you the edge.

Final Thoughts

Finding undervalued altcoins that can 100x isn’t about luck—it’s about information, timing, and execution.

Moonshots happen often in crypto. The problem is: most people are late. By the time you see it trending on X or featured in a YouTube video, the gains are gone.

Using a platform like Token Metrics, you can identify these tokens early, analyze them with confidence, and take action fast—all in one place.

If you're serious about leveling up your crypto trading game, start with the Moonshots feature on Token Metrics. Your next 100x altcoin could already be on the list.

✅ Ready to Hunt Moonshots?

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NFT's Blogs

Learn what Moonshot crypto really means, how to find legit 100x tokens, and how Token Metrics uses AI to discover early-stage altcoins before they pump.

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Research

The Great Crypto Rotation - Why Smart Money is Moving from Bitcoin to Ethereum

The Ethereum rotation story isn't just about ETH itself—it's about the entire ecosystem of projects built on Ethereum's infrastructure. Base-layer tokens, DeFi protocols, and Ethereum-native projects have already begun showing strength, with tokens like Aerodrome and Zora experiencing significant runs during Ethereum's rally from $2,300 to nearly $5,000.

3 min

Announcements

When it comes to crypto trading platforms, Token Metrics is not an exchange, but a crypto analytics and crypto trading intelligence platform powered by AI.

Token Metrics Team

10 min

Announcements

Token Metrics AI Raises $8.5M to Advance Crypto AI Agents, Reveals 2025 Roadmap

Token Metrics AI (TMAI), a platform transforming cryptocurrency trading with AI agents, has raised $8.5 million over four years from 3,000+ investors.

Token Metrics Team

4 min

Crypto Basics

Top Solana Projects in 2024 - Token Metrics Moon Awards

Discover the top Solana projects of 2024 at the Token Metrics Moon Awards. Uncover the best in Solana innovation and investment potential.

Token Metrics Team

12 Minutes

Crypto Basics

Top ZK Rollup Projects in 2024 - Token Metrics Moon Awards

Uncover the top ZK Rollup technology of 2024 with the Token Metrics Moon Awards. Discover the future of scaling solutions.

Token Metrics Team

8 Minutes

Crypto Basics

Floki Inu Coin Price Prediction 2025, 2030 - Forecast Analysis

Explore Floki Inu coin price predictions for 2025 and 2030. Gain valuable insights with expert forecast analysis to make informed investment decisions.

Marcus K

5 Minutes

Crypto Basics

TENET Airdrop 2024 - Eligibility, Process and Rewards

Get all the details of TENET Airdrop 2024 in this guide. Check eligibility criteria, understand how to participate, and earn more rewards.

8 Minutes

Token Metrics Media LLC is a regular publication of information, analysis, and commentary focused especially on blockchain technology and business, cryptocurrency, blockchain-based tokens, market trends, and trading strategies.

Token Metrics Media LLC does not provide individually tailored investment advice and does not take a subscriber’s or anyone’s personal circumstances into consideration when discussing investments; nor is Token Metrics Advisers LLC registered as an investment adviser or broker-dealer in any jurisdiction.

Information contained herein is not an offer or solicitation to buy, hold, or sell any security. The Token Metrics team has advised and invested in many blockchain companies. A complete list of their advisory roles and current holdings can be viewed here: https://tokenmetrics.com/disclosures.html/

Token Metrics Media LLC relies on information from various sources believed to be reliable, including clients and third parties, but cannot guarantee the accuracy and completeness of that information. Additionally, Token Metrics Media LLC does not provide tax advice, and investors are encouraged to consult with their personal tax advisors.

All investing involves risk, including the possible loss of money you invest, and past performance does not guarantee future performance. Ratings and price predictions are provided for informational and illustrative purposes, and may not reflect actual future performance.

Featured Posts

Stop Guessing, Start Trading: The Token Metrics API Advantage

How Can Blockchain Be Used to Verify AI Data Sources? The Future of Trust in Artificial Intelligence

The Critical Need for AI Data Verification

The Trust Gap in AI Systems

Current Challenges in AI Data Integrity

Blockchain as the Solution: Core Principles

Immutable Data Records

Decentralized Verification

Cryptographic Proof

Technical Implementation Strategies

Data Provenance Tracking

Smart Contract Automation

AI Verification Protocols

Real-World Applications and Use Cases

Medical Diagnostics and Healthcare

Supply Chain Management

Financial Services and Trading

NFT and Digital Content Verification

Token Metrics: Leading the AI-Verified Crypto Analytics Revolution

AI-Driven Market Intelligence

Real-Time Data Verification

Blockchain-Native Analytics

API Integration and Transparency

Emerging Technologies and Standards

Proof-of-Sampling (PoSP) Protocols

Trusted Execution Environments (TEEs)

Zero-Knowledge Proofs (ZKPs)

Market Impact and Economic Implications

Market Growth Projections

Investment and Innovation

Challenges and Limitations

Technical Challenges

Regulatory and Compliance Considerations

Future Developments and Trends

Industry Standardization

Hybrid Verification Systems

Cross-Chain Interoperability

Implementation Best Practices

Design Principles

Technical Architecture

Conclusion: Building Trust in the AI-Driven Future

What Are The Risks of AI Controlling DAOs? Critical Risks Every Crypto Investor Must Know

Introduction to AI-Controlled DAOs: Definition and Overview

The Rise of AI-Driven DAOs: A Double-Edged Innovation

The Benefits of AI-Controlled DAOs: Promise and Potential

Critical Risk Categories in AI-Controlled DAOs

1. Model Misalignment and Goal Deviation

2. Algorithmic Bias and Democratic Erosion

3. Security Vulnerabilities and Attack Vectors

4. Centralization Through Technical Complexity

5. Regulatory and Compliance Nightmares

Real-World Manifestations of AI DAO Risks

The Data Quality Crisis

Asset Management in AI-Controlled DAOs: New Frontiers, New Risks

Navigating the Risks: Lessons from Token Metrics

AI Model Ownership: Legal and Technical Implications

Mitigation Strategies and Best Practices

1. Hybrid Governance Models

2. Continuous Alignment Monitoring

3. Distributed Technical Expertise

4. Robust Security Frameworks

The Path Forward: Balancing Innovation and Risk

Conclusion: Preparing for an AI-Governed Future

Can AI and Blockchain Be Combined for IoT? The Revolutionary Convergence Transforming Industries in 2025

The Foundation: Understanding the Technological Trinity

The Market Reality: Explosive Growth and Convergence

How the Integration Works: The Technical Symphony

AI as the Intelligence Layer

Blockchain as the Trust Infrastructure

The Convergence in Action

Real-World Applications Transforming Industries

Smart Supply Chains and Logistics

Autonomous Financial Transactions

Energy Management and Sustainability

Healthcare and Medical Devices

The Role of Advanced Analytics: Token Metrics Leading the Way

Current Challenges and Solutions

Scalability and Data Management

Security and Privacy

**🧠 Use Token Metrics Moonshots and Signals to identify which tokens are gaining momentum post-halving.**