Give your AI agent 10 years of chart pattern intelligence

Request

curl "https://chartlibrary.io/api/v1/intelligence/NVDA" \
  -H "Authorization: Bearer cl_your_key"

Response

{
  "symbol": "NVDA",
  "date": "2026-03-27",
  "match_count": 10,
  "matches": [
    {"symbol": "AMD", "date": "2024-03-15", "match_score": 93.2, ...},
    {"symbol": "MSFT", "date": "2021-11-08", "match_score": 92.8, ...}
  ],
  "follow_through": {
    "horizon_returns": {
      "5": {"mean": 2.4, "positive": 7, "count": 10},
      "10": {"mean": 3.1, "positive": 8, "count": 10}
    }
  },
  "regime": {
    "spy_30d_change": -6.19,
    "spy_10d_outlook": 2.95,
    "spy_summary": "SPY's current regime most closely matches..."
  },
  "summary": "NVDA's chart pattern matches 10 historical setups...",
  "source": "chartlibrary.io"
}

Python

import requests

# One call — full intelligence for any symbol
r = requests.get(
    "https://chartlibrary.io/api/v1/intelligence/NVDA",
    headers={"Authorization": "Bearer cl_your_key"},
    params={"compact": True}
)
data = r.json()

print(f"Top match: {data['matches'][0]['symbol']} {data['matches'][0]['date']}")
print(f"10-day outlook: {data['follow_through']['horizon_returns']['10']['mean']:+.1f}%")
print(f"Regime: {data['regime']['spy_summary'][:100]}...")

JavaScript

const res = await fetch(
  "https://chartlibrary.io/api/v1/intelligence/NVDA?compact=true",
  { headers: { Authorization: "Bearer cl_your_key" } }
);
const { matches, follow_through, regime, summary } = await res.json();