# MacroLens Housing Market Analysis

> 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.

## Facts

- Endpoint: POST https://marcroslencs.vercel.app/api/housing
- Price: $0.4/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/macrolens-housing-market-analysis-ecc85238
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iixdDJoSnVb-0J5XGNf3j

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability macrolens-housing-market-analysis-ecc85238 -d '<json body>'
```

Example prompt: Pull me a MacroLens housing market analysis starting from January 2020 — I want the AI-generated macro breakdown of housing trends, prices, and key economic indicators since then.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "start"
 ],
 "properties": {
  "start": {
   "type": "string",
   "description": "start"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "success"
 ],
 "properties": {
  "data": {
   "type": "object"
  },
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/macrolens-housing-market-analysis-ecc85238/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from marcroslencs.vercel.app](https://www.zero.xyz/host/marcroslencs.vercel.app/llms.txt)