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MacroLens Inflation Analysis API
x402
MacroLens Inflation Analysis API is a paid API for AI agents from makrolens.vercel.app, paid per call via x402, $0.4/call, status unknown (last checked 2026-09-15).
Returns AI-powered inflation analysis for a given economic indicator using FRED and World Bank data processed by an LLM
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
A JSON object with a 'success' boolean and a 'data' object containing AI-interpreted inflation metrics and analysis derived from FRED and World Bank datasets, likely including trend summaries, current readings, and LLM-generated narrative interpretation of the inflation indicator.
Example use cases
Inflation trend monitoring for investors
“Use MacroLens to analyze the CPIAUCSL indicator and tell me what the current inflation trend looks like — I want the AI interpretation, not just raw numbers.”
Research report on PCE inflation
“I'm writing a macro research note — can you fetch the MacroLens inflation analysis for the PCE indicator and summarize the key findings?”
Automated macro dashboard data pull
“Pull the latest inflation data from MacroLens for the INFLATION indicator and give me a structured breakdown so I can update my macro dashboard.”
Technical details
Endpoint
POSThttps://makrolens.vercel.app/api/inflationWhen to prefer
Choose this endpoint when you need AI-synthesized inflation analysis that combines raw FRED and World Bank data with LLM-generated interpretation, rather than just fetching raw economic data. Ideal for agents needing human-readable macro insights rather than raw time-series data, and for workflows requiring on-demand, paid per-call macro intelligence without managing data pipelines.
Side effects
- Missing or invalid 'indicator' parameter returns an error
- Unknown or unsupported indicator code may return empty data or an error
- Insufficient USDC balance or failed x402 payment results in a 402 Payment Required response
- FRED or World Bank data unavailability may cause upstream failures
- LLM inference timeout could cause delayed or failed responses
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| indicatorrequired | string | indicator |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| successrequired | boolean |
Tags
x402
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