# MacroLens Unemployment Analysis API

> MacroLens Unemployment Analysis API is a paid API for AI agents from marcroslencs.vercel.app, paid per call via x402, $0.4/call, status unknown (last checked 2026-09-14).

Fetches and analyzes unemployment data using FRED and World Bank sources, enhanced with AI-powered macro-economic commentary via MiMo LLM

## Facts

- Endpoint: POST https://marcroslencs.vercel.app/api/unemployment
- 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-unemployment-analysis-api-8e51088a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_94ZSQE3Gusg9AaPoCHBNO

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-unemployment-analysis-api-8e51088a -d '<json body>'
```

Example prompt: Pull me an AI-powered unemployment analysis from MacroLens starting from January 2020, using FRED and World Bank data with macro commentary.

## When to prefer this

Choose this endpoint when you need AI-interpreted unemployment data with macro-economic context rather than raw statistics alone. It is ideal when combining FRED and World Bank unemployment figures with natural language analysis is valuable — for research, investment, or policy use cases. Prefer this over raw FRED API access when you want the MiMo LLM layer to synthesize insights automatically.

## Known failure modes

- Missing required 'start' field returns validation error
- Invalid date format in 'start' field may cause data fetch failure
- FRED or World Bank API unavailability causes upstream data fetch failure
- Payment not completed via x402 on Base results in 401/402 rejection
- Start date too far in the past may exceed available historical data range
- MiMo LLM inference failure may return success:false with empty data

## 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 unemployment statistics sourced from FRED and World Bank, along with AI-generated macro-economic analysis and commentary from the MiMo LLM 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-unemployment-analysis-api-8e51088a/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)