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MacroLens Energy Macro Analysis
x402
MacroLens Energy Macro Analysis is a paid API for AI agents from v1macros-lensys.vercel.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-14).
Returns AI-generated macro-economic analysis of energy markets using FRED and World Bank data, powered by the MiMo LLM, for a specified start date.
Price / call$0.03
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 macroeconomic analysis of energy markets, synthesizing FRED and World Bank datasets into narrative insights and key indicators for the requested time period.
Example use cases
Energy sector investment research
“Give me a macro analysis of the global energy sector starting from January 2022 — I need the AI-powered breakdown of key economic indicators and trends to inform our energy fund positioning.”
Policy brief on energy economics
“I'm writing a policy brief and need a macroeconomic analysis of energy markets starting from January 2020 — can you pull that from MacroLens using FRED and World Bank data?”
Quarterly energy market review
“Run a macro intelligence analysis on energy markets starting from October 2023 so I can include it in our Q4 quarterly review — I want the AI narrative on supply, demand, and pricing conditions.”
Technical details
Endpoint
POSThttps://v1macros-lensys.vercel.app/api/energy?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-synthesized narrative macro analysis of energy markets specifically, combining FRED and World Bank data with LLM interpretation — ideal for research, investment analysis, or policy work where you want pre-digested economic intelligence rather than raw data. Prefer over raw FRED API calls when you want an interpreted, natural-language summary rather than series data.
Side effects
- Missing 'start' parameter returns validation error
- Invalid date format for 'start' may cause parsing failure
- FRED or World Bank upstream data unavailability may cause partial or failed response
- x402 payment failure due to insufficient USDC balance blocks the request
- Vercel cold start may add latency on first call
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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