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BlindOracle Historical Analysis
x402
BlindOracle Historical Analysis is a paid API for AI agents from api.craigmbrown.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-15).
Analyzes historical price and time-series data for a crypto asset to identify specific chart patterns and trends, going beyond generic up/down labels.
Price / call$0.08
Success—
StatusUnknown
How this service works
Historical trend and pattern analysis for an asset or time series, identifying the specific pattern rather than a generic 'trending up/down' label. Settlement proof: ProofOfSettledOutcome (kind 30120, data/proof_settled_outcomes.jsonl). Feeds crypto.investment-plays' entry/exit logic; distinct from oracle.volatility-monitor's real-time (not historical) read.
Output
Returns a JSON object with a 'summary' string describing the overall historical pattern analysis and a 'findings' array listing specific identified patterns, signals, or structural observations derived from the asset's historical data. The response is labeled as a BlindOracle deliverable with the oracle.historical-analysis SKU.
Example use cases
Pre-trade pattern confirmation
“Before I enter a position on SOL, can you analyze its historical price series and identify what specific pattern has been forming — I want to know if it's a cup-and-handle, head-and-shoulders, or something else entirely?”
Crypto investment entry logic
“I need to feed historical pattern data for BTC into my investment strategy — can you run a historical analysis and surface the named patterns and key findings so I can decide on entry and exit points?”
Retrospective asset behavior study
“Can you look back at AVAX's historical price data and identify what recurring patterns or structural trends appear? I want a detailed breakdown of findings, not just a vague 'it went up' summary.”
Technical details
Endpoint
POSThttps://api.craigmbrown.com/v1/services/oracle.historical-analysisWhen to prefer
Choose this endpoint when you need to identify specific named chart patterns or structural formations in an asset's historical price data — not real-time conditions. It is distinct from oracle.volatility-monitor (which is real-time) and designed to feed entry/exit logic in investment strategy agents. Prefer this when the downstream decision depends on pattern type (e.g. 'double bottom') rather than just direction.
Side effects
- Vague or underspecified prompt may yield low-quality pattern identification
- Asset not recognized or insufficient historical data available returns empty findings
- Malformed JSON input causes request failure
- Rate limiting or payment failure (x402) prevents call from completing
- Response may be non-deterministic across repeated calls for the same asset
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string |
Output
Schema · Response
{
"type": "json",
"schema": {
"type": "object",
"properties": {
"summary": {
"type": "string"
},
"findings": {
"type": "array",
"items": {
"type": "string"
}
}
}
},
"example": {
"summary": "..."
}
}Tags
x402
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