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MacroLens Macro Intelligence API — Consumer Endpoint
x402
MacroLens Macro Intelligence API — Consumer Endpoint is a paid API for AI agents from marcroslencs.vercel.app, paid per call via x402, $0.4/call, status unknown (last checked 2026-09-14).
Delivers AI-powered macro-economic analysis by querying FRED and World Bank datasets through the MiMo LLM, returning structured economic insights starting from a specified date.
Price / call$0.4
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 JSON object with a 'success' boolean and a 'data' object containing AI-generated macro-economic analysis derived from FRED and World Bank datasets, synthesized by the MiMo LLM from the specified start date onward.
Example use cases
Quarterly economic briefing for investors
“Give me a MacroLens macro-economic analysis starting from April 1, 2024 — I need an AI-generated summary of major economic indicators like GDP, inflation, and employment trends since then.”
Post-pandemic recovery trend analysis
“Use MacroLens to analyze macro-economic conditions starting from January 1, 2021 so I can understand how key FRED and World Bank indicators evolved during the post-pandemic recovery period.”
Year-end economic review for policy report
“I need a MacroLens AI-powered macro-economic analysis starting from January 1, 2023 to help me write an annual economic review — pull in FRED and World Bank data and summarize the major trends.”
Technical details
Endpoint
POSThttps://marcroslencs.vercel.app/api/consumerWhen to prefer
Choose this endpoint when you need AI-synthesized macro-economic analysis grounded in authoritative FRED and World Bank datasets, especially when you want an LLM-interpreted summary rather than raw data retrieval. Prefer this over generic data APIs when the goal is narrative economic intelligence starting from a specific historical or recent date, priced per-call via USDC on Base.
Side effects
- Missing required 'start' field returns validation error
- Invalid date format for 'start' may cause parsing failure or empty data
- FRED or World Bank upstream data unavailability could result in partial or empty 'data' object
- Payment failure via x402/Base may block the request entirely
- Ambiguous start date ranges may produce incomplete or low-confidence LLM outputs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| startrequired | string | start |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| successrequired | boolean |
Tags
x402
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