Automating copyright Research Reports via Token Metrics AI Reports Endpoint

Creating professional-quality copyright research reports takes hours—unless you automate it. With the Token Metrics API, developers and analysts can instantly generate AI-powered research summaries on any token with just a single API call.

In this blog, we’ll show you how to use the AI Reports Endpoint to automate the process of generating detailed, structured copyright reports for your platform, newsletter, or investment tool.

???? What Are Token Metrics AI Reports?

Token Metrics has trained large language models on token fundamentals, price data, sentiment trends, and technicals. These models generate dynamic, up-to-date research reports that answer key investor questions:

What is this token and how does it work?
What are the current market trends?
Is it bullish or bearish right now?
How has it performed historically?

Each report is formatted and structured for easy reading and integration.

???? Use Cases for AI Reports

???? copyright Newsletters: Auto-generate weekly token spotlights
???? Investor Dashboards: Display latest reports in-app
???? Research Tools: Pull reports on-demand for thousands of assets
???? Client Advisory: Use the summaries in internal or client-facing analysis

???? Accessing AI Reports via API

Token Metrics provides a dedicated endpoint for AI reports.

Endpoint: /ai-reports
Required header: x-api-key
Query parameter: symbol (e.g., BTC, ETH)

Example (cURL):

curl -X GET "https://api.tokenmetrics.com/v2/ai-reports?symbol=BTC"

-H "x-api-key: YOUR_API_KEY"

This returns a structured JSON report with sections like:

Token Overview
Current Outlook
Historical Performance
Key Metrics
Risk Analysis

????️ Sample Python Integration

import requests

API_KEY = "YOUR_API_KEY"

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

symbol = "SOL"

def fetch_report(symbol):

url = f"https://api.tokenmetrics.com/v2/ai-reports?symbol={symbol}"

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

return response.json()['data'][0]['summary']

report = fetch_report(symbol)

print(f"AI Report for {symbol}:nn{report}")

This prints out a complete, human-readable summary of the token, ideal for email or app integration.

???? Pro Tips

Cache the report for 6–12 hours to avoid repeat API calls
Pair with Trader Grades to confirm if the AI report aligns with signals
Style the output in markdown or rich HTML for beautiful embeds

???? Save Time, Add Value

Manually writing token reports is time-consuming and expensive. With Token Metrics’ AI Reports, you deliver institutional-grade content to your users—automatically, and at scale.

???? Improve investor confidence
???? Reduce research time
???? Power smarter copyright decisions

???? Ready to Automate?

You can start using AI Reports today with your Token Metrics API key. Free and paid plans are available.

???? Explore the API → tokenmetrics.com/api

Blog