How does an AI agent get technical indicators without dumping number walls into context?
It asks for the interpreted state, not a 200-number array. patternfetch returns RSI, EMA and ATR as labels an agent can act on — overbought, above_20_50, a volatility percentage — with the exact numeric value still attached. Cheaper in tokens, and no arithmetic on raw numbers where LLMs hallucinate.
RSIEMAATR (volPct)1m → 1dinterpreted
TL;DR — One POST /v1/brief (or the MCP tool patternfetch_brief) returns interpreted indicator state: RSI as { v, state: overbought | oversold | neutral }, EMA as { v, state: above_20_50 | below_20_50 | mixed | above_20 | below_20 }, and volatility as volPct (ATR as a percentage of price, in the regime block). The agent reads a label, not a 200-number array — and the same call also returns patterns, support/resistance levels, and a one-line nl summary.
Why interpreted, not raw
An LLM reasoning over a long array of indicator numbers does two things badly: it burns tokens carrying the array, and it hallucinates when it tries to compare, average, or cross those numbers. A state label sidesteps both. overbought is cheap to carry and unambiguous to act on; above_20_50 already encodes the moving-average crossover the agent would otherwise have to derive itself. The numeric v is still there for anyone who needs the exact figure — you lose nothing, you just stop paying for arithmetic the model gets wrong. The thresholds and windows are spelled out in the methodology.
The one call
Request
curl -X POST https://patternfetch.com/v1/brief \
-H "Authorization: Bearer pf_…" \
-H "Content-Type: application/json" \
-d '{ "ticker": "BTC/USDT",
"timeframe": "4h" }'Response (indicators, interpreted)
"indicators": {
"rsi": { "v": 58.3, "state": "neutral" },
"ema": { "v": 61240.8, "state": "above_20_50" }
},
"regime": {
"trend": "up",
"strength": 0.42,
"volPct": 2.13
}The same call also returns detected chart & candlestick patterns, support/resistance levels, and a one-line nl summary the agent can act on directly — the indicators above are one block of the full brief. See it live →
Free to start — and built so agents never hit a wall
① No-signup demo — POST /v1/demo returns a real brief (indicators included) with no key. ② Free key with $3.00 starter credit (300 briefs) from one call, no card. Then pay per call. Only actual tool calls are metered. Pricing →
Free + pay
Try it with the no-signup demo (POST /v1/demo), then grab a free key with $3.00 starter credit (300 briefs). After that a brief is $0.01. Pay with x402 (USDC on Base, no account) or a Stripe card. Full breakdown on the pricing page.
For AI agents (MCP)
The MCP tool patternfetch_brief returns the same interpreted indicators (and patterns, levels, regime, nl) over Streamable HTTP. Two ways to connect, both zero-friction:
A) OAuth — one-click connect
Add the server URL and click Authorize once. patternfetch mints a free-tier key for you automatically — nothing to paste.
# Claude.ai → Settings → Connectors → Add custom connector
https://patternfetch.com/mcp
# Authorize → free key issued automaticallyB) Bearer key
claude mcp add --transport http patternfetch \
https://patternfetch.com/mcp \
--header "Authorization: Bearer pf_…"