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MacroLens Correlations API
x402
MacroLens Correlations API is a paid API for AI agents from v1macros-lensys.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-15).
Computes AI-powered correlation analysis between multiple macro-economic indicators using FRED and World Bank data
Price / call$0.15
Success—
StatusUnknown
How this service works
AI-powered macro-economic analysis. FRED + World Bank data + MiMo LLM. 20 endpoints. x402 on Base.
Output
Returns a success flag and a data object containing correlation results between the specified economic indicators, likely including correlation coefficients or a correlation matrix derived from FRED and World Bank time series data, potentially with AI-generated interpretation from the MiMo LLM.
Example use cases
Inflation driver correlation study
“I want to understand what macro indicators are most correlated with CPI inflation — can you run a correlation analysis across CPI, M2 money supply, and the federal funds rate?”
Yield curve recession signal analysis
“Can you check how correlated the 10-year minus 2-year Treasury spread is with unemployment rate changes? I'm trying to see if the yield curve inversion is a reliable recession signal.”
Equity market macro linkage
“Run a correlation analysis for me between US GDP growth, consumer confidence index, and S&P 500 earnings growth — I want to see which macro factors move most in sync with corporate earnings.”
Technical details
Endpoint
POSThttps://v1macros-lensys.vercel.app/api/correlations?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quantify the statistical relationship between multiple macroeconomic indicators backed by authoritative FRED and World Bank datasets, especially when you want AI-interpreted results rather than raw numbers. Prefer this over manual data downloads or generic statistics APIs when you need fast, pre-integrated macro data correlation with minimal setup.
Side effects
- Invalid or unrecognized indicator IDs returns error
- Fewer than two indicators provided may fail validation
- FRED or World Bank data unavailable for requested series
- Insufficient historical data overlap between indicators to compute correlation
- Payment failure via x402 protocol on Base blockchain
- Rate limiting or timeout on LLM analysis step
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| indicatorsrequired | array | indicators |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| successrequired | boolean |
Tags
x402
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