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SignalHarness Market Correlation Analysis
x402
SignalHarness Market Correlation Analysis is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Analyzes market correlation relationships based on caller-supplied data and returns a correlation assessment with supporting evidence
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing a market_correlation field with the analysis result, a warnings array for any caveats, an evidence_scope field indicating the data source used (caller_supplied_data), a status field (succeeded/failed), and a full receipt with payment metadata including network, paymentId, latencyMs, and a SHA-256 hash of the result for verification.
Example use cases
Crypto-equity correlation check
“I'm building a portfolio and want to know how correlated Ethereum and the Nasdaq have been recently — are they moving in lockstep or is ETH providing real diversification?”
Cross-commodity market relationship
“Can you assess the correlation between oil prices and gold right now? I need to know if they're moving together or in opposite directions before I adjust my commodities exposure.”
Sector co-movement for risk management
“Analyze the correlation between tech stocks and crypto markets for me — I'm trying to figure out if holding both is actually reducing my risk or if they crash together.”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/market_correlation/invokeWhen to prefer
Choose this endpoint when you need a fast, pay-per-call AI-driven market correlation assessment based on descriptive or quantitative data you supply directly, without needing to connect to a live market data feed. Ideal for agents that already have market data in context and want an analytical judgment rather than a raw data pull. At $0.01 USDC per call via x402, it suits high-frequency agentic workflows where cost predictability matters.
Side effects
- Empty or too-short request string (below 2 characters) causes validation failure
- Request exceeding 65,536 characters is rejected
- Insufficient or ambiguous market data in the request may produce low-confidence output with warnings
- Payment failure or underfunding results in 402 response before execution
- Network or service unavailability returns a non-succeeded status in the receipt
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| market_correlation_request | string |
Output
Schema · Response
{
"type": "json",
"example": {
"replay": false,
"result": {
"warnings": [
"Correlation is not causation and depends on alignment and sampling."
],
"service_id": "market_correlation",
"evidence_scope": "caller_supplied_data",
"market_correlation": "{\"correlation\":\"1\",\"observation_count\":3}"
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "market_correlation",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "1c10b014fa8a984e9e692c18553ac981e1b06b3b3022f9fbd5bc26a4dffc6d3d",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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