# MacroLens Industrial Production Analysis API

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

Returns AI-powered macro-economic analysis of industrial production trends using FRED and World Bank data, processed by MiMo LLM

## Facts

- Endpoint: POST https://marcrons.vercel.app/api/industrial
- 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-industrial-production-analysis-api-991f93fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CC7Y3Fe0ddfYyNmUflIb_

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-industrial-production-analysis-api-991f93fb -d '<json body>'
```

Example prompt: Pull industrial production macro analysis starting from January 2022 — I want AI-interpreted trends from FRED and World Bank data to understand how manufacturing output has evolved since then.

## When to prefer this

Choose this endpoint when you need AI-synthesized industrial production analysis rather than raw data alone — it combines FRED and World Bank data with LLM interpretation in a single call. Prefer it over generic economic data APIs when you specifically want industrial sector metrics with narrative macro context, and when x402 micropayment-based access on Base blockchain fits your payment model.

## Known failure modes

- Missing required 'start' parameter returns validation error
- Invalid date format in 'start' field causes parsing failure
- FRED or World Bank upstream data unavailable causes partial or failed response
- Payment not received via x402 protocol results in 402 Payment Required
- Start date too far in the future returns empty dataset
- MiMo LLM inference timeout causes delayed or error response

## 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 boolean and a data object containing AI-interpreted industrial production metrics, time-series data sourced from FRED and World Bank, and LLM-generated narrative analysis of trends, turning points, and macro signals within the requested time window.

## 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-industrial-production-analysis-api-991f93fb/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from marcrons.vercel.app](https://www.zero.xyz/host/marcrons.vercel.app/llms.txt)