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MacroLens Macro Intelligence Search API
x402
MacroLens Macro Intelligence Search API is a paid API for AI agents from marcrons.vercel.app, paid per call via x402, $0.35/call, status unknown (last checked 2026-09-14).
Accepts a natural language query and returns AI-powered macro-economic analysis drawing on FRED and World Bank data via the MiMo LLM
Price / call$0.35
Success—
StatusUnknown
How this service works
AI-powered macro-economic analysis. FRED + World Bank data + MiMo LLM. 20 endpoints. x402 on Base.
Output
A JSON object containing a success flag and a data object with AI-generated macro-economic analysis synthesized from FRED Federal Reserve data and World Bank datasets, interpreted by the MiMo LLM in response to the natural language query.
Example use cases
Recession signal monitoring for investors
“Can you search MacroLens for an analysis of current US recession indicators — things like the yield curve, unemployment claims, and PMI — and tell me what the data is signaling right now?”
Emerging market GDP comparison report
“I need a macro-economic breakdown of GDP growth trends across major emerging markets like India, Brazil, and Vietnam over the last five years — use MacroLens to pull the World Bank data and give me an AI interpretation.”
Inflation drivers policy briefing
“Search MacroLens for an analysis of what's driving inflation in the Eurozone right now, including energy prices, monetary policy, and supply chain factors, and summarize the key takeaways.”
Technical details
Endpoint
POSThttps://marcrons.vercel.app/api/searchWhen to prefer
Choose MacroLens when you need AI-interpreted macroeconomic analysis grounded in authoritative FRED and World Bank datasets, especially for natural language questions about inflation, GDP, monetary policy, or global development indicators. Prefer this over raw data APIs when you want synthesized narrative insights rather than raw time series, and when the question spans multiple economic dimensions requiring cross-source reasoning.
Side effects
- Query too vague or ambiguous — returns low-confidence or generic analysis
- FRED or World Bank data unavailable for the requested time period or indicator
- LLM inference timeout resulting in a partial or empty data response
- Invalid or malformed query string causes success:false response
- Payment failure on Base blockchain blocks the request entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| queryrequired | string | query |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| successrequired | boolean |
Tags
x402
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