# MacroLens Housing Market Analysis

> 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

## Facts

- Endpoint: POST https://marcolens.vercel.app/api/housing
- Price: $0.4/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/macrolens-housing-market-analysis-37e3ff66
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_O97N24fE7ZzuVkeyRAD9Z

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-37e3ff66 -d '<json body>'
```

Example prompt: Can you run a MacroLens housing market analysis starting from January 2020 and give me an AI-synthesized breakdown of the key macro trends?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## 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-37e3ff66/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from marcolens.vercel.app](https://www.zero.xyz/host/marcolens.vercel.app/llms.txt)