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MacroLens Housing Market Analysis
x402
MacroLens Housing Market Analysis is a paid API for AI agents from marcroslencs.vercel.app, paid per call via x402, $0.4/call, status unknown (last checked 2026-09-13).
Provides AI-powered macroeconomic analysis of the US housing market using FRED and World Bank data processed by the MiMo LLM, returning insights from a specified start 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 macroeconomic analysis of the housing market, likely including trend summaries, key indicators from FRED and World Bank datasets, and LLM-synthesized insights covering the period from the specified start date to present.
Example use cases
Post-pandemic housing boom review
“Give me a housing market macro analysis starting from March 2020 so I can see how the pandemic reshaped home prices and affordability through today.”
Rate hike impact on housing
“Can you run a MacroLens housing analysis from January 2022 onward? I want to understand how the Fed rate hikes affected the housing market with real FRED data and an AI summary.”
Long-term housing affordability trend
“I need a macroeconomic housing report starting from January 2010 to understand the long-term affordability and supply trends in the US real estate market — use MacroLens.”
Technical details
Endpoint
POSThttps://marcroslencs.vercel.app/api/housingWhen to prefer
Choose this endpoint when you need AI-synthesized macroeconomic analysis specifically focused on the US housing sector, combining authoritative FRED and World Bank data with LLM interpretation. Prefer it over raw FRED API calls when you want narrative insights rather than raw time series, and over general LLM queries when you need grounded, data-backed housing market analysis from a specific historical start point.
Side effects
- Missing required 'start' parameter returns validation error
- Invalid date format for 'start' field causes parsing failure
- FRED or World Bank upstream data unavailability may cause partial or failed response
- x402 payment failure if insufficient USDC balance on Base
- Timeout if LLM inference takes too long for large date ranges
- success: false returned with no data if analysis cannot be completed
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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