Crypto Basics

15 Low Cap Crypto Altcoins for the Next Bull Run

Discover the top altcoins to consider for your investment portfolio. Stay informed and make smart decisions in the evolving crypto landscape. Read more now!
Token Metrics Team
9 Minutes
MIN

As we move further into 2025, the best crypto altcoins are capturing the attention of both retail investors and professional traders worldwide. While Bitcoin and Ethereum remain dominant assets anchoring the cryptocurrency market, the altcoin market is witnessing a surge of innovation fueled by advancements in AI, decentralized finance (DeFi), and smart contracts. Crypto coins are a fundamental category of digital assets, serving as native currencies on their respective blockchains and playing a crucial role in transactions and ecosystem functions. Altcoins can apply different consensus protocols for transaction verification and may offer unique or better features and functions compared to Bitcoin. This dynamic environment presents unparalleled opportunities for investors seeking to diversify their portfolios beyond the most cryptocurrencies and explore promising altcoin investments with high growth potential.

In this article, we will explore the top 15 best crypto altcoins to watch in 2025. These projects span various sectors such as AI integration, Web3, decentralized compute, and the creator economy. Each altcoin offers unique utilities, competitive advantages, and strong communities, making them attractive options for those interested in long-term investments or active trading. A skilled and capable project team behind an altcoin can indicate its long-term success potential. Understanding these altcoins’ value propositions and market dynamics is essential. It’s important to note the distinction between coins (or crypto coins) and tokens: coins, also referred to as crypto coins, function as the primary currency or utility within their blockchain ecosystems, while tokens often serve specific purposes on top of existing blockchains. This clarification will help investors navigate the crypto ecosystem more effectively while managing risk tolerance in a space known for price fluctuations.

Introduction to the Crypto Space

The cryptocurrency market has rapidly evolved into a global financial ecosystem, with its total market capitalization now exceeding $2 trillion. This vibrant crypto space is home to a wide array of digital currencies, including Bitcoin, altcoins, and various tokens, each offering unique features and use cases. Unlike traditional financial institutions, the crypto market operates on a decentralized platform, enabling peer-to-peer transactions and the execution of smart contracts without intermediaries. While this independence fosters innovation and accessibility, it also introduces significant price fluctuations and volatility. Altcoins carry more risk than Bitcoin and many of the smaller ones may not be trustworthy investments. As a result, investors must conduct thorough research and understand the inherent risks before participating in the cryptocurrency market. Whether you’re exploring Bitcoin or the latest altcoins, staying informed and cautious is essential for navigating this dynamic and often unpredictable market.

The Cryptocurrency Market Landscape

The cryptocurrency market landscape is incredibly diverse, boasting over 10,000 different cryptocurrencies. While Bitcoin remains the most recognized and widely held asset, altcoins such as Ethereum, Binance Coin, and Ripple have carved out substantial market shares and are favored by many investors. Cardano (ADA) is an advocate for proof-of-stake consensus and offers a blockchain solution with low fees and high security. The market capitalization of these altcoins can shift dramatically, often influenced by market sentiment, technological advancements, and broader economic trends. Financial institutions and regulatory bodies like the Securities and Exchange Commission are increasingly engaging with the crypto market—some by investing directly, others by establishing guidelines to ensure investor protection and market integrity. Decentralized finance (DeFi) has emerged as a transformative force within the crypto market, offering innovative platforms for lending, borrowing, and trading that operate independently of traditional banks. As the market continues to mature, understanding the interplay between these elements is crucial for anyone looking to invest or trade in cryptocurrencies.

Altcoin Season and Market Trends

Altcoin season is a phenomenon in the crypto market where altcoins outperform Bitcoin, often resulting in rapid increases in altcoin prices. These periods are typically driven by shifts in market sentiment and emerging trends, making them highly attractive to investors seeking significant returns. However, the crypto market is known for its volatility, and price fluctuations can be swift and unpredictable. Seasoned crypto investors often employ strategies such as diversification and risk management to navigate these turbulent times. For example, Bitcoin Cash has experienced notable price swings during past altcoin seasons, attracting traders looking to capitalize on these movements. Bitcoin Cash (BCH) offers fast transaction times and lower fees compared to Bitcoin, making it a popular choice during these periods. Staying attuned to market trends and sentiment is essential for making informed decisions and maximizing opportunities during altcoin season, while also managing the inherent risks of trading in such a dynamic environment.

1. Token Metrics AI ($TMAI)

Token Metrics AI ($TMAI) stands out as a groundbreaking project that merges AI with crypto analytics to empower smarter investing decisions. This platform offers an all-in-one AI trading assistant that combines autonomous agent tooling, on-chain infrastructure, and predictive analytics. Users can stake $TMAI tokens to access features like crypto indices, research automation, and trader/investor grading systems.

The Token Metrics AI platform is particularly valuable for seasoned crypto investors and traders who rely on data-driven insights to navigate the volatile crypto market. Its integration with various tools, including Signals and Smart Agents, facilitates seamless trading and investing processes by streamlining the process of executing trades, analyzing data, and managing assets through a clear workflow. With $TMAI, users benefit from a sophisticated ecosystem designed to optimize returns and reduce the guesswork commonly associated with altcoin trading.

2. Suilend ($SEND)

Suilend ($SEND) is a native DeFi lending protocol built on the Sui blockchain, which is gaining traction due to its low transaction fees and innovative parallel transaction processing. The platform's low fees provide a competitive advantage for users, making it especially appealing to cost-conscious traders and investors. As the Sui network expands, Suilend is positioned to capitalize on the growing demand for capital-efficient lending and borrowing services.

The platform supports Sui-native tokens, enabling users to leverage their crypto assets efficiently within a low-competition DeFi environment. This makes $SEND an attractive option for investors seeking exposure to decentralized finance with minimized transaction fees and a scalable infrastructure. Its rapid total value locked (TVL) growth underscores its rising market value and adoption.

3. Blackhole ($BLACK)

Blackhole ($BLACK) is carving a niche as a decentralized compute platform that provides GPU resources for AI, machine learning, and crypto infrastructure projects. By incentivizing GPU providers and AI developers through its native $BLACK token—the native coin of the Blackhole platform, essential for transaction fees and overall platform operations—the platform fosters a collaborative environment for decentralized AI compute sharing.

This project is pivotal for the evolving decentralized finance and AI sectors, offering a decentralized platform where compute power can be rented and shared securely. For investors interested in the intersection of AI and blockchain technology, Blackhole represents a unique asset with the potential to disrupt traditional centralized compute services.

4. Resolv ($RESOLV)

Resolv ($RESOLV) innovates at the crossroads of AI and smart legal contracts by developing AI agents that automate compliance, arbitration, and dispute resolution. This platform empowers decentralized autonomous organizations (DAOs) and dApps with tools for on-chain contract enforcement and legal agreement automation.

As regulatory scrutiny from bodies like the Securities and Exchange Commission increases, projects like Resolv that enhance legal transparency and automation are becoming essential. By integrating large language models (LLMs) into smart contracts, Resolv offers a competitive edge in the crypto space, appealing to users and investors focused on compliance and decentralized finance.

5. Cookie.fun ($COOKIE)

Cookie.fun ($COOKIE) blends social engagement, AI creativity, and entertainment by offering AI-generated animated content and meme NFTs. This platform leverages the virality of meme culture to create a decentralized social environment where creators and fans can monetize digital content.

The unique combination of meme NFTs and community rewards makes Cookie.fun a standout in the creator economy. For crypto enthusiasts looking to participate in the cultural side of the crypto market, $COOKIE offers a novel way to engage with digital assets while benefiting from the rise of AI-generated entertainment.

6. Usual Money ($USUAL)

Usual Money ($USUAL) addresses the need for a user-friendly, decentralized stablecoin platform optimized for DeFi payments and yield generation. By combining a seamless user experience with smart routing for capital efficiency, Usual Money enhances the dollar experience for crypto-native users.

This platform’s focus on yield-bearing stablecoins and low transaction fees positions it well within the growing decentralized finance sector. Investors seeking stable, utility-driven tokens with real-world applications in payments and DeFi will find $USUAL an appealing asset.

7. Freysa AI ($FAI)

Freysa AI ($FAI) is building a decentralized framework for AI agents capable of interacting with blockchains, decentralized exchanges (DEXes), and dApps. This infrastructure supports on-chain automation and facilitates the development of crypto copilots that enhance user interaction within the crypto ecosystem.

By integrating leading AI models with on-chain APIs, Freysa AI offers a powerful toolset for developers and users aiming to streamline complex processes. Its role in decentralized AI infrastructure makes $FAI a promising token for investors focused on the future of AI-driven blockchain applications.

8. LOFI

LOFI is an innovative project at the intersection of AI, music, and culture. It enables artists and fans to co-create and monetize AI-generated generative music NFTs, focusing on ambient soundscapes and fan engagement.

This platform taps into the creator economy by facilitating music royalties and fostering fan economies through blockchain technology. LOFI’s unique approach to combining generative music with NFTs offers a fresh avenue for investors interested in cultural and entertainment-related crypto assets.

9. Gradients ($SN56)

Gradients ($SN56) operates a token-incentivized data marketplace that crowdsources datasets for AI training and machine learning model development. This decentralized approach to data collection and sharing enhances the quality and accessibility of training data for AI developers.

With token-gated access to proprietary datasets, Gradients empowers users and developers to contribute to and benefit from the growth of AI capabilities. Investors focused on AI and data-driven crypto projects will find $SN56 an intriguing addition to their portfolios.

10. BIO Protocol ($BIO)

BIO Protocol ($BIO) merges biotechnology with decentralized science (DeSci) by enabling researchers and biotech firms to tokenize experiments and scientific contributions. This platform fosters on-chain reputation systems and data royalties, incentivizing scientific innovation and collaboration.

By facilitating AI-driven drug discovery and scientific data sharing, BIO Protocol addresses real-world challenges through blockchain technology. This project appeals to investors interested in the convergence of biotech, AI, and decentralized finance.

11. Swarms ($SWARMS)

Swarms ($SWARMS) is developing an open-source protocol for multi-agent coordination across decentralized applications. This technology enables smart agents to execute complex tasks such as DAO governance, DeFi arbitrage, and airdrop farming efficiently.

The platform’s swarm AI logic supports parallelized on-chain execution, enhancing scalability and automation. For traders and investors looking at the next wave of decentralized automation, $SWARMS offers compelling utility and growth potential.

12. Creator.bid ($BID)

Creator.bid ($BID) is an auction platform where fans can bid on personalized content created by AI-powered influencers and creators. This project combines AI celebrity clones with fan tokens to revolutionize creator monetization.

Its auction dynamics and custom content-generation models provide a unique marketplace within the creator economy. Investors interested in AI-driven social platforms and fan engagement will find $BID an exciting asset.

13. Collaterize ($COLLAT)

Collaterize ($COLLAT) bridges the gap between real-world assets and decentralized finance by allowing users to tokenize and collateralize assets such as invoices and real estate. This integration facilitates asset-backed lending and yield generation within DeFi.

With transparent smart contracts and real-world audits, Collaterize enhances trust and security for investors. This project is particularly appealing to those seeking exposure to real-world asset (RWA) collateralization in the crypto market.

14. aixbt by Virtuals ($AIXBT)

aixbt ($AIXBT) is an AI-powered trading bot platform that leverages both on-chain and off-chain data to execute autonomous crypto trading strategies. The platform enables users to trade altcoins using advanced AI-driven tools, providing flexibility and efficiency in managing a diverse portfolio. It offers real-time trade simulations and leaderboard-based strategy competitions.

This platform caters to traders looking for sophisticated, data-driven tools to navigate price fluctuations and market sentiment. $AIXBT’s innovative approach to AI trading bots makes it a valuable asset in the competitive crypto trading landscape.

15. MyShell AI ($SHELL)

MyShell AI ($SHELL) enables users to create voice-based AI characters that operate across multiple platforms like Discord and Telegram. This project supports voice-to-earn economies and multi-platform bot deployment, enhancing user interaction and customer support.

By combining AI agents with creator studios, MyShell AI taps into the growing demand for personalized, voice-enabled digital experiences. Investors interested in AI-driven user engagement and decentralized platforms will find $SHELL noteworthy.

Trading Strategies for Altcoins

Trading altcoins successfully requires a solid grasp of the crypto market and its ever-changing trends. Professional traders often rely on technical analysis, chart patterns, and market indicators to anticipate price movements and make strategic trades. When trading altcoins, it’s important to consider factors such as trading fees, transaction fees, and the overall volatility of digital currencies. Understanding the underlying technology, use cases, and competitive landscape of each altcoin can provide a significant edge. Many exchanges, including industry leaders like Binance and Kraken, offer robust platforms for trading a wide variety of altcoins, making it easier for investors to access and trade these digital assets. By staying informed and leveraging the right tools, traders can navigate the complexities of the crypto market and optimize their trading strategies for better results.

Risk Management for Altcoin Investors

Investing in altcoins presents unique challenges, including high price volatility, potential market manipulation, and evolving regulatory landscapes. Retail investors must be proactive in managing these risks by diversifying their portfolios and conducting thorough research before making any altcoin investments. Long term investments in altcoins can yield substantial rewards, but they require a deep understanding of the crypto market and its shifting dynamics. The Securities and Exchange Commission has provided guidelines to help investors navigate the regulatory aspects of cryptocurrency investing, and it’s crucial to ensure compliance with these rules. Platforms like Tron Network and Ripple Labs have introduced low-fee structures and stablecoin solutions to help mitigate some of the risks associated with trading and investing in altcoins. By understanding both the risks and potential rewards, investors can make informed decisions and confidently participate in the ever-evolving world of altcoins and digital assets.

Final Thoughts: How to Evaluate Altcoins in 2025

Selecting the best crypto altcoins for 2025 requires thorough research and a strategic approach. Investors should prioritize projects with strong narratives aligned to AI, DeFi, real-world assets, and autonomous agents. Active development and vibrant communities are essential indicators of a project’s sustainability and growth potential. Monitoring new coins entering the market is important, as their supply and circulating supply can impact scarcity and value.

Real token utility and demand mechanisms, such as staking, transaction fee savings, or governance rights, add tangible value to crypto tokens. Interoperability with expanding ecosystems like Sui, Base, and Solana further enhances an altcoin’s market capitalization and market cap stability.

For many investors and traders, platforms like Token Metrics AI ($TMAI) serve as critical tools to analyze market data, track performance, and gauge market sentiment. Crypto prices are influenced by supply, demand, and trading activity, so understanding these factors is crucial for evaluating altcoins. Utilizing such resources can help navigate the complexities of the cryptocurrency market, balancing risk tolerance with the pursuit of high-reward altcoin investments.

In summary, the best crypto altcoins in 2025 are those that combine innovative technology, competitive advantages, and real-world applications within a rapidly evolving crypto ecosystem. When comparing altcoins to other cryptocurrencies, it is important to consider their performance, trading volume, and the platforms they utilize—such as the XRP ledger, which supports fast transactions and differs from traditional blockchains. How actively an altcoin is traded can also indicate its liquidity and investor interest. By staying informed and leveraging cutting-edge platforms, investors can position themselves to capitalize on the rise of new crypto assets and the next altcoin season.

Build Smarter Crypto Apps &
AI Agents in Minutes, Not Months
Real-time prices, trading signals, and on-chain insights all from one powerful API.
Grab a Free API Key
Token Metrics Team
Token Metrics Team

Recent Posts

Research

Backtesting Token Metrics AI: Can AI Grades Really Predict Altcoin Breakouts?

Token Metrics Team
5 min
MIN

To test the accuracy of Token Metrics' proprietary AI signals, we conducted a detailed six-month backtest across three different tokens — Fartcoin, Bittensor ($TAO), and Ethereum. Each represents a unique narrative: memecoins, AI infrastructure, and blue-chip Layer 1s. Our goal? To evaluate how well the AI’s bullish and bearish signals timed market trends and price action.

Fartcoin:

The green and red dots on the following Fartcoin price chart represent the bullish and bearish market signals, respectively. Since Nov 26, 2024, Token Metrics AI has given 4 trading signals for Fartcoin. Let’s analyze each signal separately.

The Fartcoin chart above displays green and red dots that mark bullish and bearish signals from the Token Metrics AI, respectively. Over the last six months — starting November 26, 2024 — our system produced four significant trade signals for Fartcoin. Let’s evaluate them one by one.

The first major signal was bullish on November 26, 2024, when Fartcoin was trading at $0.29. This signal preceded a massive run-up, with the price topping out at $2.49. That’s an astounding 758% gain — all captured within just under two months. It’s one of the most powerful validations of the AI model’s ability to anticipate momentum early.

Following that rally, a bearish signal was triggered on January 26, 2025, just before the market corrected. Fartcoin retraced sharply, plunging 74.76% from the highs. Traders who acted on this bearish alert could have avoided substantial drawdowns — or even profited through short-side exposure.

On March 25, 2025, the AI turned bullish again, as Fartcoin traded near $0.53. Over the next several weeks, the token surged to $1.58, a 198% rally. Again, the AI proved its ability to detect upward momentum early.

Most recently, on June 1, 2025, Token Metrics AI flipped bearish once again. The current Trader Grade of 24.34 reinforces this view. For now, the system warns of weakness in the memecoin market — a trend that appears to be playing out in real-time.

Across all four trades, the AI captured both the explosive upside and protected traders from steep corrections — a rare feat in the volatile world of meme tokens.

Bittensor

Next, we examine Bittensor, the native asset of the decentralized AI Layer 1 network. Over the last six months, Token Metrics AI produced five key signals — and the results were a mixed bag but still largely insightful.

In December 2024, the AI turned bearish around $510, which preceded a sharp decline to $314 by February — a 38.4% drawdown. This alert helped traders sidestep a brutal correction during a high-volatility period.

On February 21, 2025, the system flipped bullish, but this trade didn't play out as expected. The price dropped 25.4% after the signal. Interestingly, the AI reversed again with a bearish signal just five days later, showing how fast sentiment and momentum can shift in emerging narratives like AI tokens.

The third signal marked a solid win: Bittensor dropped from $327 to $182.9 following the bearish call — another 44% drop captured in advance.

In April 2025, momentum returned. The AI issued a bullish alert on April 19, with TAO at $281. By the end of May, the token had rallied to over $474, resulting in a 68.6% gain — one of the best performing bullish signals in the dataset.

On June 4, the latest red dot (bearish) appeared. The model anticipates another downward move — time will tell if it materializes, but the track record suggests caution is warranted.

Ethereum

Finally, we analyze the AI’s predictive power for Ethereum, the second-largest crypto by market cap. Over the six-month window, Token Metrics AI made three major calls — and each one captured critical pivots in ETH’s price.

On November 7, 2024, a green dot (bullish) appeared when ETH was priced at $2,880. The price then surged to $4,030 in less than 40 days, marking a 40% gain. For ETH, such a move is substantial and was well-timed.

By December 24, the AI flipped bearish with ETH trading at $3,490. This signal was perhaps the most important, as it came ahead of a major downturn. ETH eventually bottomed out near $1,540 in April 2025, avoiding a 55.8% drawdown for those who acted on the signal.

In May 2025, the AI signaled another bullish trend with ETH around $1,850. Since then, the asset rallied to $2,800, creating a 51% gain.

These three trades — two bullish and one bearish — show the AI’s potential in navigating large-cap assets during both hype cycles and corrections.Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Research

Token Metrics API vs. CoinGecko API: Which Crypto API Should You Choose in 2025?

Token Metrics Team
7 min
MIN

As the crypto ecosystem rapidly matures, developers, quant traders, and crypto-native startups are relying more than ever on high-quality APIs to build data-powered applications. Whether you're crafting a trading bot, developing a crypto research platform, or launching a GPT agent for market analysis, choosing the right API is critical.

Two names dominate the space in 2025: CoinGecko and Token Metrics. But while both offer access to market data, they serve fundamentally different purposes. CoinGecko is a trusted source for market-wide token listings and exchange metadata. Token Metrics, on the other hand, delivers AI-powered intelligence for predictive analytics and decision-making.

Let’s break down how they compare—and why the Token Metrics API is the superior choice for advanced, insight-driven builders.

🧠 AI Intelligence: Token Metrics Leads the Pack

At the core of Token Metrics is machine learning and natural language processing. It’s not just a data feed. It’s an AI that interprets the market.

Features exclusive to Token Metrics API:

  • Trader Grade (0–100) – Short-term momentum score based on volume, volatility, and technicals
  • Investor Grade (0–100) – Long-term asset quality score using fundamentals, community metrics, liquidity, and funding
  • Bullish/Bearish AI Signals – Real-time alerts based on over 80 weighted indicators
  • Sector-Based Smart Indices – Curated index sets grouped by theme (AI, DeFi, Gaming, RWA, etc.)
  • Sentiment Scores – Derived from social and news data using NLP
  • LLM-Friendly AI Reports – Structured, API-returned GPT summaries per token
  • Conversational Agent Access – GPT-based assistant that queries the API using natural language

In contrast, CoinGecko is primarily a token and exchange aggregator. It offers static data: price, volume, market cap, supply, etc. It’s incredibly useful for basic info—but it lacks context or predictive modeling.

Winner: Token Metrics — The only crypto API built for AI-native applications and intelligent automation.

🔍 Data Depth & Coverage

While CoinGecko covers more tokens and more exchanges, Token Metrics focuses on providing actionable insights rather than exhaustively listing everything.

Feature                                                   Token Metrics API                                    CoinGecko API

Real-time + historical OHLCV              ✅                                                          ✅

Trader/Investor Grades                        ✅ AI-powered                                     ❌

Exchange Aggregation                         ✅ (Used in indices, not exposed)     ✅

Sentiment & Social Scoring                  ✅ NLP-driven                                     ❌

AI Signals                                               ✅                                                         ❌

Token Fundamentals                            ✅ Summary via deepdive         ⚠️ Limited

                                                                        endpoint

NFT Market Data                                  ❌                                                          ✅

On-Chain Behavior                               ✅ Signals + Indices                   ⚠️ Pro-only (limited)

If you're building something analytics-heavy—especially trading or AI-driven—Token Metrics gives you depth, not just breadth.

Verdict: CoinGecko wins on broad metadata coverage. Token Metrics wins on intelligence and strategic utility.

🛠 Developer Experience

One of the biggest barriers in Web3 is getting devs from “idea” to “prototype” without friction. Token Metrics makes that easy.

Token Metrics API Includes:

  • SDKs for Python, Node.js, and Postman
  • Quick-start guides and GitHub sample projects
  • Integrated usage dashboard to track limits and history
  • Conversational agent to explore data interactively
  • Clear, logical endpoint structure across 21 data types

CoinGecko:

  • Simple REST API
  • JSON responses
  • Minimal docs
  • No SDKs
  • No built-in tooling (must build from scratch)

Winner: Token Metrics — Serious devs save hours with ready-to-go SDKs and utilities.

📊 Monitoring, Quotas & Support

CoinGecko Free Tier:

  • 10–30 requests/min
  • No API key needed
  • Public endpoints
  • No email support
  • Rate limiting enforced via IP

Token Metrics Free Tier:

  • 5,000 requests/month
  • 1 request/min
  • Full access to AI signals, grades, rankings
  • Telegram & email support
  • Upgrade paths to 20K–500K requests/month

While CoinGecko’s no-login access is beginner-friendly, Token Metrics offers far more power per call. With just a few queries, your app can determine which tokens are gaining momentum, which are losing steam, and how portfolios should be adjusted.

Winner: Token Metrics — Better for sustained usage, scaling, and production reliability.

💸 Pricing & Value

Plan Feature                CoinGecko Pro            Token Metrics API

Entry Price                  ~$150/month                $99/month

AI Grades & Signals            ❌                               ✅ 

Sentiment Analytics            ❌                               ✅

Sector Index Insights          ❌                               ✅

NLP Token Summaries       ❌                                ✅

Developer SDKs                  ❌                                ✅

Token-Based Discounts     ❌                                ✅ (up to 35% with $TMAI)

For what you pay, Token Metrics delivers quant models and intelligent signal streams — not just raw price.

Winner: Token Metrics — Cheaper entry, deeper value.

🧠 Use Cases Where Token Metrics API Shines

  • Trading Bots
    Use Trader Grade and Signal endpoints to enter/exit based on AI triggers.
  • GPT Agents
    Generate conversational answers for “What’s the best AI token this week?” using structured summaries.
  • Crypto Dashboards
    Power sortable, filtered token tables by grade, signal, or narrative.
  • Portfolio Rebalancers
    Track real-time signals for tokens held, flag risk zones, and show sector exposure.
  • LLM Plugins
    Build chat-based investment tools with explainability and score-based logic.

🧠 Final Verdict: CoinGecko for Info, Token Metrics for Intelligence

If you're building a crypto price tracker, NFT aggregator, or exchange overview site, CoinGecko is a solid foundation. It’s reliable, broad, and easy to get started.

But if your product needs to think, adapt, or help users make better decisions, then Token Metrics API is in another class entirely.

You're not just accessing data — you're integrating AI, machine learning, and predictive analytics into your app. That’s the difference between showing the market and understanding it.

🔗 Ready to Build Smarter?

  • ✅ 5,000 free API calls/month
  • 🤖 Trader & Investor Grades
  • 📊 Live Bull/Bear signals
  • 🧠 AI-powered summaries and GPT compatibility
  • ⚡ 21 endpoints + Python/JS SDKs

👉 Start with Token Metrics API

Research

Python Quick-Start with Token Metrics: The Ultimate Crypto Price API

Token Metrics Team
10 min
MIN

If you’re a Python developer looking to build smarter crypto apps, bots, or dashboards, you need two things: reliable data and AI-powered insights. The Token Metrics API gives you both. In this tutorial, we’ll show you how to quickly get started using Token Metrics as your Python crypto price API, including how to authenticate, install the SDK, and run your first request in minutes.

Whether you’re pulling live market data, integrating Trader Grades into your trading strategy, or backtesting with OHLCV data, this guide has you covered.

🚀 Quick Setup for Developers in a Hurry

Install the official Token Metrics Python SDK:

pip install tokenmetrics

Or if you prefer working with requests directly, no problem. We’ll show both methods below.

🔑 Step 1: Generate Your API Key

Before anything else, you’ll need a Token Metrics account.

  1. Go to app.tokenmetrics.com/en/api
  2. Log in and navigate to the API Keys Dashboard
  3. Click Generate API Key
  4. Name your key (e.g., “Development”, “Production”)
  5. Copy it immediately — keep it secret.

You can monitor usage, rate limits, and quotas right from the dashboard. Track each key’s status, last used date, and revoke access at any time.

📈 Step 2: Retrieve Crypto Prices in Python

Here’s a simple example to fetch the latest price data for Ethereum (ETH):

import requests

API_KEY = "YOUR_API_KEY"

headers = {"x-api-key": API_KEY}

url = "https://api.tokenmetrics.com/v2/daily-ohlcv?symbol=ETH&startDate=<YYYY-MM-DD>&endDate=<YYYY-MM-DD>"

response = requests.get(url, headers=headers)

data = response.json()

for candle in data['data']:

    print(f"Date: {candle['DATE']} | Close: ${candle['CLOSE']}")

You now have a working python crypto price API pipeline. Customize startDate or endDate to get specific range of historical data.

📊 Add AI-Powered Trader Grades

Token Metrics’ secret sauce is its AI-driven token ratings. Here’s how to access Trader Grades for ETH:

grade_url = "https://api.tokenmetrics.com/v2/trader-grades?symbol=ETH&limit=30d"

grades = requests.get(grade_url, headers=headers).json()['data']

for day in grades:

    print(f"{day['DATE']} — Trader Grade: {day['TA_GRADE']}")

Use this data to automate trading logic (e.g., enter trades when Grade > 85) or overlay on charts.

🔁 Combine Data for Backtesting

Want to test a strategy? Merge OHLCV and Trader Grades for any token:

import pandas as pd

ohlcv_df = pd.DataFrame(data['data'])

grades_df = pd.DataFrame(grades)

combined_df = pd.merge(ohlcv_df, grades_df, on="DATE")

print(combined_df.head())

Now you can run simulations, build analytics dashboards, or train your own models.

⚙️ Endpoint Coverage for Python Devs

  • /daily-ohlcv: Historical price data
  • /trader-grades: AI signal grades (0–100)
  • /trading-signals: Bullish/Bearish signals for short and long positions.
  • /sentiment: AI-modeled sentiment scores
  • /tmai: Ask questions in plain English

All endpoints return structured JSON and can be queried via requests, axios, or any modern client.

🧠 Developer Tips

  • Each request = 1 credit (tracked in real time)
  • Rate limits depend on your plan (Free = 1 req/min)
  • Use the API Usage Dashboard to monitor and optimize
  • Free plan = 5,000 calls/month — perfect for testing and building MVPs

💸 Bonus: Save 35% with $TMAI

You can reduce your API bill by up to 35% by staking and paying with Token Metrics’ native token, $TMAI. Available via the settings → payments page.

🌐 Final Thoughts

If you're searching for the best python crypto price API with more than just price data, Token Metrics is the ultimate choice. It combines market data with proprietary AI intelligence, trader/investor grades, sentiment scores, and backtest-ready endpoints—all in one platform.

✅ Real-time & historical data
✅ RESTful endpoints
✅ Python-ready SDKs and docs
✅ Free plan to start building today

Start building today → tokenmetrics.com/api

Looking for SDK docs? Explore the full Python Quick Start Guide

Choose from Platinum, Gold, and Silver packages
Reach with 25–30% open rates and 0.5–1% CTR
Craft your own custom ad—from banners to tailored copy
Perfect for Crypto Exchanges, SaaS Tools, DeFi, and AI Products