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MacroLens Housing Market Analysis
x402
MacroLens Housing Market Analysis is a paid API for AI agents from marcolens.vercel.app, paid per call via x402, $0.4/call, status unknown (last checked 2026-09-14).
Performs AI-powered macro-economic analysis of the US housing market using FRED and World Bank data, synthesized 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 flag and a data object containing AI-synthesized macroeconomic housing analysis, likely including key indicators sourced from FRED and World Bank datasets, interpreted and narrated by the MiMo LLM.
Example use cases
Housing market crash risk assessment
“I want to understand how the housing market has evolved since January 2022 — can you pull a macro analysis of housing trends and tell me if there are signs of a downturn?”
Post-pandemic real estate trend report
“Run a housing market macro analysis starting from March 2020 so I can see how the pandemic affected home prices, affordability, and broader real estate conditions.”
Investment thesis validation for REITs
“I'm evaluating a REIT investment and need a macroeconomic housing analysis starting from January 2018 — give me the key indicators and an AI summary of where the market is headed.”
Technical details
Endpoint
POSThttps://marcolens.vercel.app/api/housingWhen to prefer
Choose this endpoint when you need AI-synthesized macro-level housing market insights grounded in authoritative datasets (FRED, World Bank) rather than raw data retrieval. Ideal when you want interpretive narrative alongside economic indicators, and when you need a time-series view starting from a specific historical date. Prefer over generic search or raw data APIs when LLM-generated analysis and synthesis is the goal.
Side effects
- Invalid or missing start date returns an error
- Start date in unrecognized format causes parsing failure
- FRED or World Bank upstream data unavailability may cause incomplete results
- LLM synthesis failure may result in partial or empty data object
- Payment failure via x402 on Base blocks the request entirely
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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