patternfetch
Patternfetch turns crypto market data into compact briefs for AI agents.
FreemiumResearch & Data
Visit website Free to browse · updated 2026-06-24
What is patternfetch?
Patternfetch processes cryptocurrency spot data from sources like Binance across timeframes from one minute to one day. It produces structured responses with compact candle representations, detected patterns, volatility measures, and indicator states such as RSI and EMA values. This format reduces the need for agents to handle extensive raw numerical sequences. The service supports integration through standard API calls as well as MCP connections for seamless use in agent environments. Users can access it via pay-per-call billing or alternative payment methods without requiring an account for basic trials. It emphasizes delivering actionable market state information in a token-efficient manner. Additional capabilities include delta updates for changes since prior queries and historical analog comparisons. The system focuses on providing algorithmic signals and market data in a consistent schema suitable for automated trading workflows.
Key features
Token-compact crypto market briefs from any ticker and timeframe
Candlestick patterns, SAX shape charts, support/resistance levels
Trend/regime, volatility, and interpreted indicators (RSI/EMA/ATR)
One-line natural language summary (nl field) for agents
REST API endpoints including /v1/brief, /v1/delta, /v1/analogs
MCP server (Streamable HTTP) with four tools for AI agents
Pay-per-call billing with x402 (USDC) no-account option
What you can use patternfetch for
Compact Crypto Briefs for Trading Agents
Deliver token-efficient market state summaries including candlestick patterns, support/resistance levels, regime, volatility, and interpreted indicators directly to AI agents without flooding context with raw OHLCV data.
Historical Pattern Analog Matching
Query past market analogs for any ticker and timeframe to retrieve full outcome distributions that help agents compare current conditions against similar historical setups.
Low-Cost Delta Polling for Live Monitoring
Use the delta endpoint to receive only material changes since the previous brief, enabling agents to stay updated at a fraction of the cost while keeping context minimal.
How to use patternfetch
- 1Visit patternfetch.com and test the no-signup demo endpoint
- 2Request a free API key that includes starter credit
- 3POST your ticker and timeframe to the /v1/brief endpoint
- 4Parse the compact response containing patterns, levels, and nl summary
- 5Connect the MCP server in Claude Desktop or Cursor for agent use
patternfetch pricing
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Free
Free
- No-signup demo brief (rate-limited)
- Self-serve free key with $0.05 starter credit
- /v1/status, /v1/platforms, /v1/keys, /v1/demo free
- MCP discovery free
Pay per call
PopularCustom
- /v1/brief $0.01
- /v1/delta $0.008 ($0.001 empty)
- /v1/candles $0.005
- /v1/analogs $0.05
- x402 USDC or Stripe top-up
Editor's verdict
Pros
- +Reduces context tokens vs raw OHLCV and avoids numeric hallucination
- +Free demo, free starter key, and MCP discovery with no signup
Cons
- –Limited to Binance crypto spot data (1m-1d)
- –Usage is metered after free tier credit
Our take: patternfetch is a solid research & data choice. It's valued for reduces context tokens vs raw ohlcv and avoids numeric hallucination and free demo, free starter key, and mcp discovery with no signup. The main trade-off is limited to binance crypto spot data (1m-1d). A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Yes, the /v1/demo endpoint returns a real market brief with no key or signup required, though it is rate-limited.
Summary
patternfetch is a solid research & data choice. It's valued for reduces context tokens vs raw ohlcv and avoids numeric hallucination and free demo, free starter key, and mcp discovery with no signup. The main trade-off is limited to binance crypto spot data (1m-1d). A good pick if you want capable AI without a high upfront cost.
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