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What is Self-Sovereign Identity in Web3? The Complete Guide to Digital Freedom in 2025

Discover the essentials of Self Sovereign Identity in Web3. Understand its benefits and challenges in this clear, straightforward guide. Read more now!
Talha Ahmad
5 min
MIN

In today’s digital world, our identities define how we interact online—from accessing services to proving who we are. However, traditional identity management systems often place control of your personal information in the hands of centralized authorities, such as governments, corporations, or social media platforms. This centralized control exposes users to risks like data breaches, identity theft, and loss of privacy. Enter Self-Sovereign Identity (SSI), a revolutionary digital identity model aligned with the core principles of Web3: decentralization, user empowerment, and true digital ownership. Understanding what is self sovereign identity in Web3 is essential in 2025 for anyone who wants to take full control of their digital identity and navigate the decentralized future safely and securely.

Understanding Self-Sovereign Identity: The Foundation of Digital Freedom

At its core, self sovereign identity is a new digital identity model that enables individuals to own, manage, and control their identity data without relying on any central authority. Unlike traditional identity systems, where identity data is stored and controlled by centralized servers or platforms—such as social media companies or government databases—SSI empowers users to become the sole custodians of their digital identity.

The self sovereign identity model allows users to securely store their identity information, including identity documents like a driver’s license or bank account details, in a personal digital wallet app. This wallet acts as a self sovereign identity wallet, enabling users to selectively share parts of their identity information with others through verifiable credentials. These credentials are cryptographically signed by trusted issuers, making them tamper-proof and instantly verifiable by any verifier without needing to contact the issuer directly.

This approach means users have full control over their identity information, deciding exactly what data to share, with whom, and for how long. By allowing users to manage their digital identities independently, SSI eliminates the need for centralized authorities and reduces the risk of data breaches and unauthorized access to sensitive information.

The Web3 Context: Why SSI Matters Now

The emergence of Web3—a decentralized internet powered by blockchain and peer-to-peer networks—has brought new challenges and opportunities for digital identity management. Traditional login methods relying on centralized platforms like Google or Facebook often result in users surrendering control over their personal data, which is stored on centralized servers vulnerable to hacks and misuse.

In contrast, Web3 promotes decentralized identity, where users own and control their digital credentials without intermediaries. The question what is self sovereign identity in Web3 becomes especially relevant because SSI is the key to realizing this vision of a user-centric, privacy-respecting digital identity model.

By 2025, businesses and developers are urged to adopt self sovereign identity systems to thrive in the Web3 ecosystem. These systems leverage blockchain technology and decentralized networks to create a secure, transparent, and user-controlled identity infrastructure, fundamentally different from centralized identity systems and traditional identity management systems.

The Three Pillars of Self-Sovereign Identity

SSI’s robust framework is built on three essential components that work together to create a secure and decentralized identity ecosystem:

1. Blockchain Technology

Blockchain serves as a distributed database or ledger that records information in a peer-to-peer network without relying on a central database or centralized servers. This decentralized nature makes blockchain an ideal backbone for SSI, as it ensures data security, immutability, and transparency.

By storing digital identifiers and proofs on a blockchain, SSI systems can verify identity data without exposing the actual data or compromising user privacy. This eliminates the vulnerabilities associated with centralized platforms and frequent data breaches seen in traditional identity systems.

2. Decentralized Identifiers (DIDs)

A Decentralized Identifier (DID) is a new kind of globally unique digital identifier that users fully control. Unlike traditional identifiers such as usernames or email addresses, which depend on centralized authorities, DIDs are registered on decentralized networks like blockchains.

DIDs empower users with user control over their identity by enabling them to create and manage identifiers without relying on a central authority. This means users can establish secure connections and authenticate themselves directly, enhancing data privacy and reducing reliance on centralized identity providers.

3. Verifiable Credentials (VCs)

Verifiable Credentials are cryptographically secure digital documents that prove certain attributes about an individual, organization, or asset. Issued by trusted parties, these credentials can represent anything from a university diploma to a government-issued driver’s license.

VCs are designed to be tamper-proof and easily verifiable without contacting the issuer, thanks to blockchain and cryptographic signatures. This ensures enhanced security and trustworthiness in digital identity verification processes, while allowing users to share only the necessary information through selective disclosure.

How SSI Works: The Trust Triangle

The operation of SSI revolves around a trust triangle involving three key participants:

  • Holder: The individual who creates their decentralized identifier using a digital wallet and holds their digital credentials.
  • Issuer: A trusted entity authorized to issue verifiable credentials to the holder, such as a government, university, or bank.
  • Verifier: An organization or service that requests proof of identity or attributes from the holder to validate their claims.

When a verifier requests identity information, the holder uses their self sovereign identity wallet to decide which credentials to share, ensuring full control and privacy. This interaction eliminates the need for centralized intermediaries and reduces the risk of identity theft.

Token Metrics: Leading the Charge in Web3 Analytics and Security

As SSI platforms gain traction, understanding their underlying token economies and security is critical for investors and developers. Token Metrics is a leading analytics platform that provides deep insights into identity-focused projects within the Web3 ecosystem.

By analyzing identity tokens used for governance and utility in SSI systems, Token Metrics helps users evaluate project sustainability, security, and adoption potential. This is crucial given the rapid growth of the digital identity market, projected to reach over $30 billion by 2025.

Token Metrics offers comprehensive evaluations, risk assessments, and performance tracking, empowering stakeholders to make informed decisions in the evolving landscape of self sovereign identity blockchain projects.

Real-World Applications of SSI in 2025

Financial Services and DeFi

SSI streamlines Know Your Customer (KYC) processes by enabling users to reuse verifiable credentials issued by one institution across multiple services. This reduces redundancy and accelerates onboarding, while significantly lowering identity fraud, which currently costs billions annually.

Healthcare and Education

SSI enhances the authenticity and privacy of medical records, educational certificates, and professional licenses. Universities can issue digital diplomas as VCs, simplifying verification and reducing fraud.

Supply Chain and Trade

By assigning DIDs to products and issuing VCs, SSI improves product provenance and combats counterfeiting. Consumers gain verifiable assurance of ethical sourcing and authenticity.

Gaming and NFTs

SSI allows users to prove ownership of NFTs and other digital assets without exposing their entire wallet, adding a layer of privacy and security to digital asset management.

Advanced SSI Features: Privacy and Security

Selective Disclosure

SSI enables users to share only specific attributes of their credentials. For example, proving age without revealing a full birthdate helps protect sensitive personal information during verification.

Zero-Knowledge Proofs

Zero-knowledge proofs (ZKPs) allow users to prove statements about their identity without revealing the underlying data. For instance, a user can prove they are over 18 without sharing their exact birthdate, enhancing privacy and security in digital interactions.

Current SSI Implementations and Projects

Several initiatives showcase the practical adoption of SSI:

  • ID Union (Germany): A decentralized identity network involving banks and government bodies.
  • Sovrin Foundation: An open-source SSI infrastructure leveraging blockchain for verifiable credentials.
  • European Blockchain Services Infrastructure (EBSI): Supports cross-border digital diplomas and identity.
  • Finland’s MyData: Empowers citizens with control over personal data across sectors.

These projects highlight SSI’s potential to transform identity management globally.

Challenges and Considerations

Technical Challenges

Managing private keys is critical; losing a private key can mean losing access to one’s identity. Solutions like multi-signature wallets and biometric authentication are being developed to address this.

Regulatory Landscape

Global regulations, including the General Data Protection Regulation (GDPR) and emerging frameworks like Europe’s eIDAS 2.0, are shaping SSI adoption. Ensuring compliance while maintaining decentralization is a key challenge.

Adoption Barriers

Despite the promise, some critics argue the term "self-sovereign" is misleading because issuers and infrastructure still play roles. Improving user experience and educating the public are essential for widespread adoption.

The Future of SSI in Web3

By 2025, self sovereign identity systems will be vital for secure, private, and user-centric digital interactions. Key trends shaping SSI’s future include:

  • Enhanced Interoperability between blockchains and DID methods.
  • Improved User Experience through intuitive wallets and interfaces.
  • Regulatory Clarity supporting SSI frameworks.
  • Integration with AI for advanced cryptographic verification.

Implementation Guidelines for Businesses

Businesses aiming to adopt SSI should:

  • Utilize blockchain platforms like Ethereum or Hyperledger Indy that support SSI.
  • Prioritize user-friendly digital wallets to encourage adoption.
  • Ensure compliance with global data protection laws.
  • Collaborate across industries and governments to build a robust SSI ecosystem.

Conclusion: Embracing Digital Sovereignty

Self-Sovereign Identity is more than a technological innovation; it represents a fundamental shift towards digital sovereignty—where individuals truly own and control their online identities. As Web3 reshapes the internet, SSI offers a secure, private, and user-centric alternative to centralized identity systems that have long dominated the digital world.

For professionals, investors, and developers, understanding what is self sovereign identity in Web3 and leveraging platforms like Token Metrics is crucial to navigating this transformative landscape. The journey toward a decentralized, privacy-respecting digital identity model has begun, and those who embrace SSI today will lead the way in tomorrow’s equitable digital world.

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Crypto Basics

How Do AI Crypto Indices Work? Inside the Future of Smart Investing

Token Metrics Team
8 min
MIN

In the ever-evolving world of crypto, one thing is clear: automation and intelligence are the future. In 2025, AI-powered crypto indices are gaining traction as the most efficient, adaptive, and data-driven way to invest in digital assets. But how exactly do they work?

Unlike traditional crypto indices that follow fixed rules and rebalance on a schedule, AI indices adjust dynamically using real-time market signals, machine learning models, and smart risk management. They take the guesswork—and the emotion—out of investing.

In this article, we’ll break down what AI crypto indices are, how they function, and why they’re outperforming passive strategies in today’s market.

What Is an AI-Powered Crypto Index?

An AI-powered crypto index is a cryptocurrency investment portfolio managed by artificial intelligence. Rather than following rigid rebalancing schedules or fixed token lists, the AI actively decides:

  • Which tokens to include
  • How much weight to assign to each
  • When to buy, hold, or sell
  • Whether to move into stablecoins during market downturns

These decisions are made using a wide range of data inputs, processed through advanced algorithms and predictive models.

The Core Components of AI Crypto Indices

Let’s look under the hood. Here’s how AI-powered indices operate behind the scenes:

1. Data Collection

AI indices analyze vast amounts of crypto market data from multiple sources, including:

  • Price Action: Trends, volatility, momentum
  • Volume & Liquidity: How much is being traded and where
  • Social Sentiment: Mentions on Twitter, Reddit, Telegram, and news
  • Technical Indicators: RSI, MACD, moving averages, Bollinger Bands
  • On-Chain Metrics: Wallet activity, inflows/outflows, network usage
  • Macro Signals: Fed policy, global economic news, BTC dominance

This multi-dimensional data stack forms the foundation of the AI’s decision-making process.

2. Signal Generation

Using the data, the AI identifies bullish, neutral, or bearish conditions for each token under consideration.

It may use:

  • Machine learning classifiers
  • Neural networks trained on historical data
  • Natural language processing (NLP) to assess sentiment

The goal is to forecast short- to mid-term performance potential of each asset in the index.

3. Portfolio Allocation Logic

Once signals are generated, the AI engine builds the portfolio:

  • Include bullish tokens
  • Exclude bearish or sideways tokens
  • Adjust weights based on conviction
  • Cap exposure to volatile or illiquid assets
  • Shift into stablecoins if overall risk is high

This process replaces traditional “Top 10 Market Cap” logic with data-informed positioning.

4. Rebalancing & Execution

AI indices typically rebalance on a weekly or as-needed basis—far more responsive than quarterly rebalancing in passive indices.

Rebalancing involves:

  • Selling underperforming assets
  • Increasing exposure to trending tokens
  • Reducing concentration risk
  • Locking in profits by trimming over-extended positions

Execution may be simulated (in research products) or actual (for tokenized index platforms or connected wallets).

Real-World Example: Token Metrics AI Indices

Token Metrics is a leader in AI index technology. Their indices:

  • Analyze over 80 data points per token
  • Issue weekly buy/sell signals
  • Rebalance portfolios based on market sentiment and momentum

Example: DeFi AI Index

  • Week 1: AAVE, LDO, RUNE get bullish signals → added to the index
  • Week 2: LDO signal turns bearish → replaced by GMX
  • Week 3: Broad DeFi market looks weak → 30% of portfolio shifted into USDC

This approach ensures the portfolio actively adapts to changing market conditions without user intervention.

Benefits of AI-Powered Indices

âś… Smarter Risk Management

Exit early during downturns, move into stablecoins, avoid overexposure.

âś… Better Timing

Capture gains earlier by entering tokens before trend exhaustion.

âś… Emotion-Free Investing

No panic selling or FOMO buying—just data-driven decisions.

âś… Automation at Scale

Ideal for passive investors who want active performance.

âś… Competitive Performance

Outperformed passive indices in 2024–2025 due to faster reaction times and smarter rebalancing.

AI vs. Passive Crypto Indices

Are AI Crypto Indices Safe?

While no crypto investment is “safe,” AI indices help reduce risk compared to manual investing or passive index strategies by:

  • Avoiding weak tokens
  • Reducing exposure in downturns
  • Allocating capital to strong-performing assets

This makes them a compelling choice for both beginners and advanced investors looking for automated performance optimization.

Common Misconceptions

❌ "AI indices are just hype."

Wrong. Real AI indices use trained models and live market data—not just price trends—to make decisions.

❌ "They’re only for pros."

Most platforms now offer user-friendly AI indices that are fully automated and beginner-friendly.

❌ "They’re too risky."

While aggressive AI indices exist (e.g., Memecoins), many offer conservative modes with stablecoin rotation and low-volatility token selection.

Who Should Use AI-Powered Indices?

  • Busy Professionals – Want hands-off performance
  • Trend Traders – Prefer smart auto-rebalancing
  • Beginners – Need risk-managed crypto exposure
  • Wealth Builders – Looking for alpha over time

Final Thoughts: AI Indices Are the Future of Crypto Investing

AI-powered crypto indices bring hedge-fund-level sophistication to individual investors. With intelligent signal generation, data-driven risk management, and weekly rebalancing, these indices outperform traditional strategies—especially in volatile markets.

Whether you want to follow the hottest trends, avoid losses during bear markets, or simply invest smarter, AI indices offer an automated and strategic approach to growing your crypto portfolio.

Platforms like Token Metrics lead this space with real-time AI signal engines, offering performance-optimized indices across Memecoins, DeFi, AI tokens, RWAs, and more.

Crypto Basics

Can AI or Data Tools Help Identify Moonshots?

Token Metrics Team
8 min
MIN

From Hype to Science — The Role of AI in Finding Moonshots

In the past, finding a 100x moonshot often meant trolling crypto Twitter threads, scanning Discord servers, or jumping into Telegram groups filled with bots and hype. But times have changed. In 2025, the smartest investors use AI and data analytics tools to uncover hidden gems before they explode.

This blog explores how AI and crypto-specific data platforms like Token Metrics are transforming moonshot discovery into a science — removing the guesswork and helping investors spot massive opportunities early.

Why Human-Only Research Isn’t Enough Anymore

With over 2 million crypto tokens and hundreds launching weekly, it’s virtually impossible to manually research everything. Retail traders are often overwhelmed, relying on gut feelings or influencer tweets.

AI levels the playing field by:

  • Analyzing massive datasets at scale
  • Spotting hidden patterns in price, volume, and sentiment
  • Scoring tokens based on fundamentals, momentum, and risk
  • Filtering out noise, scams, and pump-and-dumps

Simply put, AI sees what the human eye misses.

How AI Tools Detect Moonshots

AI models trained on crypto data can identify early-stage projects by analyzing:

These insights allow you to rank tokens and prioritize research efforts.

How Token Metrics AI Grades Work

Token Metrics, a pioneer in AI-driven crypto analytics, uses machine learning to generate Investor Grades, Trader Grades, and Bullish/Bearish Signals for thousands of tokens.

Here's how:

  • Investor Grade – Long-term potential based on fundamentals, community, tech
  • Trader Grade – Short-term potential based on price action, momentum, liquidity
  • Bullish Signal – Triggered when AI detects high-probability upside within 7–14 days
  • Bearish Signal – Warns of likely downturns or profit-taking zones

Moonshots that rank highly across these metrics are often early movers with breakout potential.

Top Tools to Find Moonshots with AI & Data

Use these tools together to spot patterns others miss.

Case Study: AI Spotting a Moonshot Early

Let’s say a low-cap AI token called NeuroLink AI launches. It’s not yet on CEXs but shows:

  • Spike in GitHub commits
  • Surge in Telegram growth
  • 24h price up 18%, volume 400%
  • Mentioned in 3 Token Metrics Bullish Signals in one week
  • AI Trader Grade: 91/100

That’s a prime moonshot candidate worth further analysis — and most retail traders wouldn’t catch it until it’s up 5x.

Human + AI = The Winning Formula

AI doesn't replace human judgment — it enhances it. The best approach is:

  1. Use AI to scan, sort, and filter top candidates
  2. Manually research the top 5–10 picks
  3. Evaluate community, product, team, and roadmap
  4. Use risk metrics and technicals for entry/exit planning

This hybrid approach minimizes FOMO and maximizes precision.

Moonshot AI Checklist

Before diving in, check:

âś… High AI Trader or Investor Grade (85+)
âś… Momentum score surging
âś… Early-stage narrative (AI, DePIN, RWA, etc.)
âś… Community growth across socials
âś… Smart money inflows on-chain
âś… No major unlocks in next 30 days

If all boxes are ticked, you may have found your next 10x.

Final Thoughts: AI is the Ultimate Edge in 2025

Crypto moonshots are no longer found in meme threads and TikTok videos alone. In 2025, the best investors use AI-powered research to systematically uncover explosive opportunities before they go viral.

By leveraging platforms like Token Metrics, you turn chaos into clarity — and emotion into execution.

Announcements

How to Build On-Chain Crypto Trading Bots Using Token Metrics Crypto API and Chainlink Functions

Token Metrics Team
8 min
MIN

In the evolving world of Web3 development, the need for real-time, reliable, and institutional-grade crypto data has never been greater. Whether you’re building decentralized trading bots, DeFi apps, or smart contract platforms, accessing powerful off-chain data is key to creating intelligent and profitable on-chain systems.

That’s where the Token Metrics Crypto API comes in.

In this guide, we’ll walk you through how to integrate the Token Metrics API with Chainlink Functions, enabling you to deploy live smart contracts that interact with real-time crypto signals, token prices, and trader grades. You’ll learn how to use more than 20 API endpoints and smart contract adapters to power decentralized apps with actionable data.

If you’re searching for the best crypto API for smart contract development, or you need a free crypto API to start testing on testnets, this article is your ultimate resource.

What Is the Token Metrics Crypto API?

The Token Metrics API is an advanced data interface designed for traders, developers, and Web3 builders. It provides access to over 20 endpoints covering everything from:

  • Token prices
  • AI-powered trading signals (bullish/bearish)
  • Trader and Investor Grades (0–100 scoring system)
  • Quant metrics
  • Support and resistance levels
  • Sentiment analysis

Built by a team of quant analysts, machine learning engineers, and crypto-native researchers, the Token Metrics Crypto API brings hedge-fund-grade intelligence into the hands of everyday builders.

Why Use the Token Metrics API with Chainlink Functions?

Chainlink Functions enable smart contracts to securely retrieve off-chain data from any API. By integrating with the Token Metrics Crypto API, you can bridge institutional-grade analytics into fully decentralized apps—something not possible with basic or unreliable data sources.

Here’s why this combo is so powerful:

  • đź”— Chainlink decentralizes your execution
  • đź§  Token Metrics powers your logic with predictive analytics
  • ⚙️ Smart contracts can now act on real market intelligence

This integration enables the creation of intelligent trading bots, dynamic token allocations, and governance proposals backed by hard data—not speculation.

Step-by-Step: How to Integrate Token Metrics API with Chainlink Functions

Let’s walk through how to connect the best crypto API—Token Metrics—with Chainlink Functions to build and deploy a live smart contract.

1. Clone the GitHub Repo

Start by cloning the GitHub repository that contains the full codebase. This includes:

  • A set of ~20 pre-built smart contracts
  • API adapter logic
  • Sample scripts to interact with the contracts
  • A detailed README with setup instructions

Each smart contract is tailored to one Token Metrics API endpoint—meaning you can plug and play any dataset, from prices to sentiment scores.

2. Set Up Your Environment

The README provides a full list of recommended environment variables, including:

  • API_KEY for Token Metrics
  • LINK_TOKEN_ADDRESS
  • CHAINLINK_SUBSCRIPTION_ID
  • ORACLE_ADDRESS

Once your .env is ready, you can start compiling and deploying.

3. Build and Deploy a Sample Trading Bot Smart Contract

In this walkthrough, the developer built a Solidity smart contract that:

  • Pulls live data from Token Metrics (price, signal, grade)
  • Evaluates the signal (e.g., bullish)
  • Executes a buy trade if the signal is positive

The contract is compiled in Remix IDE, connected via MetaMask (on testnet), and deployed using testnet ETH and LINK tokens.

After deployment, you’ll receive a contract address that can be added to your Chainlink subscription.

4. Create a Chainlink Subscription

To fund your contract for data requests:

  1. Go to the Chainlink portal
  2. Create a new subscription (testnet or mainnet)
  3. Fund it with some LINK
  4. Add your deployed smart contract as a consumer

This allows your contract to make external data calls using Chainlink’s decentralized oracle network.

5. Run a Script to Invoke Real-Time Token Metrics Data

Using the provided JavaScript scripts, you can interact with the smart contract and test data flow:

  • Check the bot’s active status
  • Retrieve token price, trading signal, and grade
  • See how the smart contract responds to live market conditions

In the demo, the bot received a bullish signal, saw that the grade was high, and executed a buy trade accordingly. This logic can be expanded into full-scale trading strategies, rebalancing rules, or even on-chain governance triggers.

Why Token Metrics API Is the Best Crypto API for Smart Contracts

Here’s what makes the Token Metrics Crypto API the best crypto API for building advanced, data-driven dApps:

âś… Institutional-Grade Signals

Get access to proprietary AI trading signals, used by hedge funds and institutional desks.

âś… 20+ Endpoints for Every Use Case

Whether you need sentiment data, grades, price trends, or quant models, it’s all there.

âś… Real-Time and Back-Tested

The data is not just live—it’s tested. Token Metrics backtests every signal against market conditions.

âś… Easy to Integrate

Pre-built smart contract adapters make it easy to use the API in Chainlink, Remix, or any EVM-compatible environment.

âś… Free Crypto API Tier Available

Start testing on testnets with a free crypto API key. Upgrade later for full production access.

Real-World Use Cases for Token Metrics + Chainlink Functions

Here are some examples of what you can build using this integration:

  • On-Chain Trading Bots: React to bullish or bearish signals in real time
  • Decentralized Rebalancing Strategies: Adjust token allocations based on trader grades
  • Token Governance: Trigger proposal alerts when sentiment crosses a threshold
  • Risk Management Contracts: Move funds to stablecoins when volatility spikes
  • NFT Floor Price Triggers: Use sentiment and price data for automated mint/pass logic

Final Thoughts: The Future of Crypto Intelligence Is On-Chain

As Web3 matures, the ability to combine decentralized execution with centralized intelligence will define the next generation of dApps. The integration of Token Metrics Crypto API with Chainlink Functions is a major step in that direction.

Developers can now build on-chain applications that make smarter, faster, and more profitable decisions—powered by data that was once out of reach.

Whether you're a DeFi developer, a DAO engineer, or just exploring your first smart contract, this setup gives you a free crypto API to experiment with and the power of the best crypto API when you're ready to scale.

🚀 Ready to Get Started?

  • âś… Get your free Token Metrics API key
  • âś… Clone the GitHub repo and install the smart contracts
  • âś… Join the Token Metrics Dev Telegram community
  • âś… Start building intelligent, AI-powered crypto applications today

Your next-generation crypto trading bot starts here.

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