Introduction

Crypto moves fast — and traders who can't read the signs get left behind. But in a market where emotions dominate, how do you distinguish between a real trend and a fakeout? That’s where AI-powered trading signals come in.

Token Metrics AI monitors over 6,000 tokens using 80+ data points, from technical momentum to on-chain activity and social sentiment. Its bullish and bearish signals aren’t just flashes of color — they’re actionable, data-driven insights that can guide decisions in chaotic markets.

In this post, we break down how to interpret bullish and bearish signals, what they’ve been saying recently, and how to react when market direction flips suddenly.

What Are Bullish and Bearish Signals?

Let’s start with the basics:

• Bullish Signal (Green Dot): Indicates that a token is showing signs of an upward trend based on combined technical, sentiment, and on-chain analysis.
  
• Bearish Signal (Red Dot): Suggests that a token is losing momentum, and price downside or stagnation is likely.
  

But these signals aren’t standalone — they come with contextual grades, like the Trader Grade, which ranks signal strength from 0 to 100. This allows you to not just know the direction, but the confidence behind it.

What Happened Recently? The May 30 Flip

On May 30, 2025, Token Metrics AI issued a broad bearish flip across much of the market. That included:

• Ethereum
  
• Bittensor
  
• Launchcoin
  
• Many Real World Asset and L2 tokens
  

The AI signal flipped red, and Trader Grades fell across the board. Why? Here's what the AI detected:

• Slowing volume
  
• Negative sentiment shift
  
• Liquidity thinning on DEXs
  
• On-chain accumulation stalling
  

This wasn’t panic-driven — it was a data-driven, proactive warning that the cycle had peaked. In a world where most traders rely on lagging indicators or Twitter sentiment, this was an edge.

How to Interpret a Bullish Signal

A bullish signal isn’t an instant “buy” — it's a call to investigate. Here's what to check when a green dot appears:

✅ 1. Trader Grade Above 80

This means high conviction. If it's between 60–79, the trend is forming, but may lack strength.

✅ 2. Volume Confirmation

Price up + volume up = good. Price up + volume flat = caution.

✅ 3. Narrative Alignment

If the token fits a hot theme (like RWAs or AI), that adds strength to the signal.

✅ 4. Recent Price Action

Did the signal appear after a breakout, or just before? Entry timing depends on whether you're catching the beginning or chasing the middle of the trend.

✅ 5. Compare to Peers

If 3–5 similar tokens are also turning bullish, that indicates sector-wide rotation — a better entry environment.

How to Interpret a Bearish Signal

Red doesn’t mean "dump immediately" — it means it's time to tighten your risk.

❗ 1. Trader Grade Below 50

This indicates deteriorating conviction — exit or reduce exposure.

❗ 2. Volume Divergence

If price is flat but volume is fading, that’s a warning of a potential breakdown.

❗ 3. Signal Timing

Did the bearish flip happen near local highs? That’s often the best exit point.

❗ 4. Check for Repeats

Was this the second red dot in a week? That could confirm a longer-term downtrend.

❗ 5. BTC/ETH Context

If Bitcoin or ETH also flip bearish, it may suggest macro pressure, not just token-specific weakness.

Real-Time Examples from the Webinar

During the June 5 Token Metrics webinar, we walked through examples of how these signals worked in real time:

🟢 Bullish (April) – Launchcoin

Strong signal, grade in the 80s. Resulted in a massive short-term run.

🔴 Bearish (May 30) – Ethereum

Signal turned red around $3,490. Traders who followed it avoided the 55% drawdown that followed.

🔴 Bearish (June) – Fartcoin

After a 700% run-up, the signal flipped bearish with a low Trader Grade of ~24. Result? A slow bleed lower as sentiment cooled.

What Makes AI Signals Different from Traditional TA?

Feature                                                    Token Metrics AI                     Traditional TA

Combines social + on-chain                    ✅                                       ❌

Updated in real time                                 ✅                                       ❌

Machine learning trained on past data   ✅                                       ❌

Outputs confidence grade                       ✅                                       ❌

Adapts to new narratives                         ✅                                       ❌

This isn’t about moving averages or MACD — it’s about combining the entire digital footprint of a token to anticipate what comes next.

How to React to a Signal Flip

What do you do when your favorite token suddenly flips from bullish to bearish?

1. Reduce exposure immediately — even if you don’t sell everything, cut risk.
   
2. Check the Grade — if it’s falling, momentum is likely over.
   
3. Watch Peer Tokens — if similar projects are also turning red, it confirms sector rotation.
   
4. Set New Alerts — if the signal flips back to green, be ready to re-enter.
   

Your job isn’t to predict the market. It’s to respond to what the data is saying.

How to Combine AI Signals with a Strategy

Here’s a basic framework:

Entry

• Bullish signal + Trader Grade > 80 = enter with full size.
  
• Grade 60–79 = enter small or wait for confirmation.
  

Exit

• Bearish signal = scale out or exit.
  
• Grade < 50 = no new positions unless for short trades.
  

Risk

• Position size scales with grade.
  
• Only trade tokens with high liquidity and volume confirmation.
  

This keeps your system simple, repeatable, and data-driven.

Conclusion

In volatile markets, conviction matters. Token Metrics AI doesn’t just point up or down — it tells you how strong the trend is, how likely it is to last, and when it’s time to pivot.

Don’t trade on emotions. Don’t chase hype. Use the signals — and trust the grade.

Because in a market that never sleeps, it pays to have an AI watching your back.

Introduction

The euphoria of April and May in the crypto market has officially hit the brakes. While traders were riding high just weeks ago, the mood has shifted — and the data confirms it. Token Metrics’ proprietary AI signals flipped bearish on May 30, and since then, the market has been slowly but steadily declining.

In this post, we break down what’s happened since the bearish signal, how major altcoins and sectors are reacting, and what Token Metrics’ indicators are telling us about what might come next.

The Big Picture: Cooling Off After a Hot Q1 and Q2 Start

The platform’s AI signal turned bearish on May 30 when the total crypto market cap hit $3.34 trillion. Since then, the momentum that defined early 2025 has reversed.

This wasn’t a sudden crash — it’s a slow bleed. The signal shift didn’t come from headline-driven panic, but from data-level exhaustion: volume softening, sentiment stalling, and trend strength fading across most tokens.

Token Metrics AI recognized the shift — and issued the warning.

What the Bearish Signal Means

The AI model analyzes over 80 metrics across price, volume, sentiment, and on-chain data. When key trends across these data sets weaken, the system flips from bullish (green) to bearish (red).

On May 30:

• Trader Grades across most tokens declined
  
• Signal sentiment flipped bearish
  
• Momentum and velocity cooled down
  

According to the model, these were signs of a broad de-risking cycle — not just isolated weakness.

Sectors Showing Declines

Even tokens that had been performing well throughout Q2 began to stall or roll over.

🚨 Launch Coin

Previously one of the top performers in April, Launch Coin saw its grades decrease and price action softened.It may even be rebranding — a typical signal that a project is pivoting after a hype cycle.

🏦 Real World Assets (RWAs)

RWAs were hot in March–May, but by early June, volume and signal quality had cooled off significantly.

🔐 ZK and L2s

Projects like Starknet and zkSync, once dominant in trader attention, have seen signal strength drop, with many now scoring below 70.

The cooling effect is broad, touching narratives, sectors, and high-performing individual tokens alike.

The Bull-Bear Indicator in Action

One of the key tools used by Token Metrics is the Bull vs. Bear Indicator, which aggregates bullish vs. bearish signals across all tokens tracked.

As of early June:

• The percentage of tokens with bullish signals dropped to its lowest since January.
  
• New projects launching with strong grades also saw a decline.
  
• Even community-favorite tokens began receiving “exit” alerts.
  

This isn’t fear — it’s fatigue.

How Traders Are Reacting

During the webinar, we noted that many users who rely on Token Metrics signals began rotating into stables once the May 30 signal flipped. Others reduced leverage, paused entries, or shifted into defensive plays like ETH and BTC.

This reflects an important philosophy:

"When the data changes, we change our approach."

Instead of trying to fight the tape or chase rebounds, disciplined traders are using the bearish signal to protect gains and preserve capital.

What About Ethereum and Bitcoin?

Even ETH and BTC, the two bellwether assets, aren’t immune.

• Ethereum: Lost momentum after a strong May push. Its Trader Grade is dropping, and the AI signals currently reflect neutral-to-bearish sentiment.
  
• Bitcoin: While still holding structure better than altcoins, it has also declined since peaking above $72k. Volume weakening and sentiment falling suggest caution.
  

In previous cycles, ETH and BTC acted as shelters during altcoin corrections. But now, even the majors show weakness — another reason why the bearish flip matters.

What Could Reverse This?

Abdullah Sarwar, head of research at Token Metrics, mentioned that for the signals to flip back bullish, we would need to see:

• Increased momentum across top tokens
  
• New narratives (e.g., real-world utility, cross-chain demand)
  
• Higher volume and liquidity inflows
  
• Positive macro or ETF news
  

Until then, the system will remain in defensive mode — prioritizing safety over chasing trades.

How to Act During a Bearish Signal

The team offered several tips for traders during this cooling-off period:

1. Reduce exposure
   Don’t hold full positions in assets with weak grades or bearish signals.
   ‍
   
2. Watch signal reversals
   Keep an eye on sudden bullish flips with high Trader Grades — they often mark trend reversals.
   ‍
   
3. Rebalance into safer assets
   BTC, ETH, or even stables allow you to sit on the sidelines while others take unnecessary risk.
   
   
4. Use Token Metrics filters
   Use the platform to filter for:
   
   
   • Top tokens with >80 grades
     
   • Signals that flipped bullish in the last 3 days
     
   • Low market-cap tokens with strong on-chain activity
     

These tools help find exceptions in a weak market.

Conclusion: Bearish Doesn’t Mean Broken

Markets cycle — and AI sees it before headlines do.

Token Metrics' bearish signal wasn’t a call to panic. It was a calibrated, data-backed alert that the trend had shifted — and that it was time to switch from offense to defense.

If you’re navigating this new phase, listen to the data. Use the tools. And most importantly, avoid trading emotionally.

The bull market might return. When it does, Token Metrics AI will flip bullish again — and you’ll be ready.

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.

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

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

If you're a trader, data analyst, or crypto enthusiast, chances are you've wanted to pull live crypto data directly into Google Sheets. Whether you're tracking prices, building custom dashboards, or backtesting strategies, having real-time data at your fingertips can give you an edge.

In this guide, we'll show you how to integrate the Token Metrics API — a powerful crypto API with free access to AI-powered signals — directly into Google Sheets in under 5 minutes using Google Apps Script.

📌 Why Use Google Sheets for Crypto Data?

Google Sheets is a flexible, cloud-based spreadsheet that:

• Requires no coding to visualize data
  
• Can be shared and updated in real time
  
• Offers formulas, charts, and conditional formatting
  
• Supports live API connections with Apps Script
  

When combined with the Token Metrics API, it becomes a powerful dashboard that updates live with Trader Grades, Bull/Bear Signals, historical OHLCV data, and more.

🚀 What Is Token Metrics API?

The Token Metrics API provides real-time and historical crypto data powered by AI. It includes:

• Trader Grade: A score from 0 to 100 showing bullish/bearish potential
  
• Bull/Bear Signal: A binary signal showing market direction
  
• OHLCV: Open-High-Low-Close-Volume price history
  
• Token Metadata: Symbol, name, category, market cap, and more
  

The best part? The free Basic Plan includes:

• 5,000 API calls/month
  
• Access to core endpoints
  
• Hourly data refresh
  
• No credit card required
  

👉 Sign up for free here

🛠️ What You’ll Need

• A free Token Metrics API key
  
• A Google account
  
• Basic familiarity with Google Sheets
  

⚙️ How to Connect Token Metrics API to Google Sheets

Here’s how to get live AI-powered crypto data into Sheets using Google Apps Script.

🔑 Step 1: Generate Your API Key

1. Visit: https://app.tokenmetrics.com/en/api
   
2. Click “Generate API Key”
   
3. Copy it — you’ll use this in the script
   

📄 Step 2: Create a New Google Sheet

1. Go to Google Sheets
   
2. Create a new spreadsheet
   
3. Click Extensions > Apps Script
   

💻 Step 3: Paste This Apps Script

const TOKEN_METRICS_API_KEY = 'YOUR_API_KEY_HERE';

async function getTraderGrade(symbol) {

  const url = `https://api.tokenmetrics.com/v2/trader-grades?symbol=${symbol.toUpperCase()}`;

  const options = {

    method: 'GET',

    contentType: 'application/json',

    headers: {

      'accept': 'application/json',

      'x-api-key': TOKEN_METRICS_API_KEY,

    },

    muteHttpExceptions: true

  };

  const response = UrlFetchApp.fetch(url, options);

  const data = JSON.parse(response.getContentText() || "{}")

  if (data.success && data.data.length) {

    const coin = data.data[0];

    return [

      coin.TOKEN_NAME,

      coin.TOKEN_SYMBOL,

      coin.TA_GRADE,

      coin.DATE

    ];

  } else {

    return ['No data', '-', '-', '-'];

  }

}

‍

async function getSheetData() {

  const sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();

  const symbols = sheet.getRange('A2:A').getValues().flat().filter(Boolean);

  const results = [];

‍

  results.push(['Name', 'Symbol', 'Trader Grade', 'Date']);

‍

  for (const symbol of symbols) {

    if (symbol) {

      const row = await getTraderGrade(symbol);

      results.push(row);

    }

  }

‍

  sheet.getRange(2, 2, results.length, results[0].length).setValues(results);

}

🧪 Step 4: Run the Script

1. Replace 'YOUR_API_KEY_HERE' with your real API key.
   
2. Save the project as TokenMetricsCryptoAPI.
   
3. In your sheet, enter a list of symbols (e.g., BTC, ETH, SOL) in Column A.
   
4. Go to the script editor and run getSheetData() from the dropdown menu.
   

Note: The first time, Google will ask for permission to access the script.

✅ Step 5: View Your Live Data

After the script runs, you’ll see:

• Coin name and symbol
  
• Trader Grade (0–100)
  
• Timestamp
  

You can now:

• Sort by Trader Grade
  
• Add charts and pivot tables
  
• Schedule automatic updates with triggers (e.g., every hour)
  

🧠 Why Token Metrics API Is Ideal for Google Sheets Users

Unlike basic price APIs, Token Metrics offers AI-driven metrics that help you:

• Anticipate price action before it happens
  
• Build signal-based dashboards or alerts
  
• Validate strategies against historical signals
  
• Keep your data fresh with hourly updates
  

And all of this starts for free.

🏗️ Next Steps: Expand Your Sheet

Here’s what else you can build:

• A portfolio tracker that pulls your top coins’ grades
  
• A sentiment dashboard using historical OHLCV
  
• A custom screener that filters coins by Trader Grade > 80
  
• A Telegram alert system triggered by Sheets + Apps Script + Webhooks
  

You can also upgrade to the Advanced Plan to unlock 21 endpoints including:

• Investor Grades
  
• Smart Indices
  
• Sentiment Metrics
  
• Quantitative AI reports
  
• 60x API speed
  

🔐 Security Tip

Never share your API key in a public Google Sheet. Use script-level access and keep the sheet private unless required.

🧩 How-To Schema Markup (for SEO)

{

  "@context": "https://schema.org",

  "@type": "HowTo",

  "name": "Crypto API to Google Sheets in 5 Minutes",

  "description": "Learn how to connect the Token Metrics crypto API to Google Sheets using Google Apps Script and get real-time AI-powered signals and prices.",

  "totalTime": "PT5M",

  "supply": [

    {

      "@type": "HowToSupply",

      "name": "Google Sheets"

    },

    {

      "@type": "HowToSupply",

      "name": "Token Metrics API Key"

    }

  ],

  "tool": [

    {

      "@type": "HowToTool",

      "name": "Google Apps Script"

    }

  ],

  "step": [

    {

      "@type": "HowToStep",

      "name": "Get Your API Key",

      "text": "Sign up at Token Metrics and generate your API key from the API dashboard."

    },

    {

      "@type": "HowToStep",

      "name": "Create a New Google Sheet",

      "text": "Open a new sheet and list crypto symbols in column A."

    },

    {

      "@type": "HowToStep",

      "name": "Add Apps Script",

      "text": "Go to Extensions > Apps Script and paste the provided code, replacing your API key."

    },

    {

      "@type": "HowToStep",

      "name": "Run the Script",

      "text": "Execute the getSheetData function to pull data into the sheet."

    }

  ]

}

✍️ Final Thoughts

If you're serious about crypto trading or app development, integrating live market signals into your workflow can be a game-changer. With the Token Metrics API, you can get institutional-grade AI signals — right inside Google Sheets.

This setup is simple, fast, and completely free to start. Try it today and unlock a smarter way to trade and build in crypto.

👉 Get Your API Key & Start for Free

Liquidity farming just got a major upgrade. Token Metrics AI ($TMAI) has launched its first liquidity incentive campaign on Merk — and it’s designed for yield hunters looking to earn fast, with no lockups, no gimmicks, and real rewards from Day 1.

📅 Campaign Details

• Duration: June 5 – June 19, 2025
  
• Rewards Begin: 17:00 UTC / 1:00 PM ET
  
• Total TMAI Committed: 38 million+ $TMAI
  
• No Lockups: Enter or exit at any time
  
• APR Potential: Up to 200%
  

For two weeks, liquidity providers can earn high daily rewards across three different pools. All rewards are paid in $TMAI and distributed continuously — block by block — through the Merkl platform.

💧 Where to Earn – The Pools (as of June 5, 17:00 UTC)

Pool                                                    Starting APR %               Total Rewards (14 days)                Current TVL

Aerodrome WETH–TMAI        150%                                16.79M TMAI (~$11,000)                   $86,400

Uniswap v3 USDC–TMAI        200%                                14.92M TMAI (~$9,800)                    $19,900

Balancer 95/5 WETH–TMAI    200%                                5.60M TMAI (~$3,700)                       $9,500

These pools are live and actively paying rewards. APR rates aren’t displayed on Merkl until the first 24 hours of data are available — but early providers will already be earning.

🧠 Why This Campaign Stands Out

1. Turbo Rewards for a Short Time

This isn’t a slow-drip farm. The TMAI Merkl campaign is designed to reward action-takers. For the first few days, yields are especially high — thanks to low TVL and full daily reward distribution.

2. No Lockups or Waiting Periods

You can provide liquidity and withdraw it anytime — even the same day. There are no lockups, no vesting, and no delayed payout mechanics. All rewards accrue automatically and are claimable through Merkl.

3. Choose Your Risk Profile

You get to pick your exposure.

• Want ETH upside? Stake in Aerodrome or Balancer.
  
• Prefer stablecoin stability? Go with the Uniswap v3 USDC–TMAI pool.
  

4. Influence the Future of TMAI Yield Farming

This campaign isn’t just about yield — it’s a test. If enough users participate and volume grows, the Token Metrics Treasury will consider extending liquidity rewards into Q3 and beyond. That means more TMAI emissions, longer timelines, and consistent passive income opportunities for LPs.

5. Built for Transparency and Speed

Rewards are distributed via Merkl by Angle Labs, a transparent, gas-efficient platform for programmable liquidity mining. You can see the exact rewards, TVL, wallet counts, and pool analytics at any time.

🔧 How to Get Started

Getting started is simple. You only need a crypto wallet, some $TMAI, and a matching asset (either WETH or USDC, depending on the pool).

Step-by-step:

1. Pick a pool:
   Choose from Aerodrome, Uniswap v3, or Balancer depending on your risk appetite and asset preference.
   
   
2. Provide liquidity:
   Head to the Merkl link for your pool, deposit both assets, and your position is live immediately.
   
   
3. Track your earnings:
   Watch TMAI accumulate daily in your Merkl dashboard. You can claim rewards at any time.
   
   
4. Withdraw when you want:
   Since there are no lockups, you can remove your liquidity whenever you choose — rewards stop the moment liquidity is pulled.
   

🎯 Final Thoughts

This is a rare opportunity to earn serious rewards in a short amount of time. Whether you’re new to liquidity mining or a DeFi veteran, the TMAI Merkl campaign is built for speed, flexibility, and transparency.

You’re still early. The best yields happen in the first days, before TVL rises and APR stabilizes. Dive in now and maximize your returns while the turbo phase is still on.

👉 Join the Pools and Start Earning

The hunt for a dependable Crypto API normally ends in a graveyard of half-maintained GitHub repos, flaky RPC endpoints, and expensive enterprise feeds that hide the true cost behind a sales call. Developers waste days wiring those sources together, only to learn that one fails during a market spike or that data schemas never quite align. The result? Bots mis-fire, dashboards drift out of sync, and growth stalls while engineers chase yet another “price feed.”

That headache stops today. Token Metrics API, the same engine that powers more than 70 000 users on the Token Metrics analytics platform, is now live on RapidAPI—the largest marketplace of public APIs with more than four million developers. One search, one click, and you get an AI-grade Crypto API with institutional reliability and a 99.99 % uptime SLA.

Why RapidAPI + Token Metrics API Matters

• Native developer workflow – No separate billing portal, OAuth flow, or SDK hunt. Click “Subscribe,” pick the Free plan, and RapidAPI instantly generates a key.
  
  
• Single playground – Run test calls in-browser and copy snippets in cURL, Python, Node, Go, or Rust without leaving the listing.
  
  
• Auto-scale billing – When usage grows, RapidAPI handles metering and invoices. You focus on product, not procurement.
  
  

What Makes the Token Metrics Crypto API Different?

1. Twenty-one production endpoints
   ‍
   Live & historical prices, hourly and daily OHLCV, proprietary Trader & Investor Grades, on-chain and social sentiment, AI-curated sector indices, plus deep-dive AI reports that summarise fundamentals, code health, and tokenomics.
   
   
2. AI signals that win
   ‍
   Over the last 24 months, more than 70 % of our bull/bear signals outperformed simple buy-and-hold. The API delivers that same alpha in flat JSON.
   
   
3. Institutional reliability
   ‍
   99.99 % uptime, public status page, and automatic caching for hot endpoints keep latency low even on volatile days.
   
   

Three-Step Quick Start

1. Search “Token Metrics API” on RapidAPI and click Subscribe.
   
2. Select the Free plan (5 000 calls / month, 20 request / min) and copy your key.
   
3. Test:
   
   

bash

CopyEdit

curl -H "X-RapidAPI-Key: YOUR_KEY" \

     -H "X-RapidAPI-Host: tokenmetrics.p.rapidapi.com" \

     https://tokenmetrics.p.rapidapi.com/v2/trader-grades?symbol=BTC

The response returns Bitcoin’s live Trader Grade (0-100) and bull/bear flag. Swap BTC for any asset or explore /indices, /sentiment, and /ai-reports.

Real-World Use Cases

Use case

How developers apply the Token Metrics API

Automated trading bots

Rotate allocations when Trader Grade > 85 or sentiment flips bear.

Portfolio dashboards

Pull index weights, grades, and live prices in a single call for instant UI load.

Research terminals

Inject AI Reports into Notion/Airtable for analyst workflows.

No-code apps

Combine Zapier webhooks with RapidAPI to display live sentiment without code.

Early adopters report 30 % faster build times because they no longer reconcile five data feeds.

Pricing That Scales

• Free – 5 000 calls, 30-day history.
  
• Advanced – 20 000 calls, 3-month history.
  
• Premium – 100 000 calls, 3-year history.
  
• VIP – 500 000 calls, unlimited history.
  

Overages start at $0.005 per call.

Ready to Build?

• RapidAPI listing: https://rapidapi.com/tm-ai/api/token-metrics 

https://rapidapi.com/token-metrics-token-metrics-default/api/token-metrics-api1
• Developer docs: https://developers.tokenmetrics.com
• Support Slack: https://join.slack.com/t/tokenmetrics-devs/shared_invite/…

Spin up your key, ship your bot, and let us know what you create—top projects earn API credits and a Twitter shout-out.

The modern crypto stack is a jungle of AI agents: IDE copilots that finish code, desktop assistants that summarise white-papers, CLI tools that back-test strategies, and slide generators that turn metrics into pitch decks. Each tool speaks a different protocol, so developers juggle multiple keys and mismatched JSON every time they query a Crypto API. That fragmentation slows innovation and creates silent data drift.

To fix it, we built the Token Metrics Crypto MCP Server—a lightweight gateway that unifies every tool around a single Multi-Client Crypto API. MCP (Multi-Client Protocol) sits in front of the Token Metrics API and translates requests into one canonical schema. Paste your key once, and a growing suite of clients speaks the same crypto language:

• OpenAI Agents SDK – build ChatGPT-style agents with live grades
  
• Claude Desktop – natural-language research powered by real-time metrics
  
• Cursor / Windsurf IDE – in-editor instant queries
  
• Raycast, Tome, VS Code, Cline and more
  

Why a Crypto MCP Server Beats Separate APIs

Consistency – Claude’s grade equals Windsurf’s grade.
One-time auth – store one key; clients handle headers automatically.
Faster prototyping – build in Cursor, test in Windsurf, present in Tome without rewriting queries.
Lower cost – shared quota plus $TMAI discount across all tools.

Getting Started

1. Sign up for the Free plan (5 000 calls/month) and get your key: https://app.tokenmetrics.com/en/api
   
2. Click the client you want to setup mcp for: smithery.ai/server/@token-metrics/mcp or https://modelcontextprotocol.io/clients

Your LLM assistant, IDE, CLI, and slide deck now share a single, reliable crypto brain. Copy your key, point to MCP, and start building the next generation of autonomous finance.

How Teams Use the Multi-Client Crypto API

• Research to Execution – Analysts ask Claude for “Top 5 DeFi tokens with improving Trader Grades.” Cursor fetches code snippets; Windsurf trades the shortlist—all on identical data.
  
• DevRel Demos – Share a single GitHub repo with instructions for Cursor, VS Code, and CLI; workshop attendees choose their favorite environment and still hit the same endpoints.
  
• Compliance Dashboards – Tome auto-refreshes index allocations every morning, ensuring slide decks stay current without manual updates
  

Pricing, Rate Limits, and $TMAI

The Crypto MCP Server follows the core Token Metrics API plans: Free, Advanced, Premium, and VIP up to 500 000 calls/month and 600 req/min. Paying or staking $TMAI applies the familiar 10 % pay-in bonus plus up to 25 % staking rebate—35 % total savings. No new SKU, no hidden fee.

Build Once, Query Everywhere

The Token Metrics Crypto MCP Server turns seven scattered tools into one cohesive development environment. Your LLM assistant, IDE, CLI, and slideshow app now read from the same real-time ledger. Copy your key, point to MCP, and start building the next generation of autonomous finance.

• Github repo: https://github.com/token-metrics/mcp

👉 Ready to build? Grab your key from https://app.tokenmetrics.com/en/api

👉 Join Token Metrics API Telegram group  

Step-by-step client guides at smithery.ai/server/@token-metrics/mcp or https://modelcontextprotocol.io/clients — everything you need to wire Token Metrics MCP into Open AI, Claude, Cursor, Windsurf and more.