# MacroLens Industrial Sector Analysis

> MacroLens Industrial Sector Analysis is a paid API for AI agents from mascronlens.vercel.app, paid per call via x402, $0.4/call, status unknown (last checked 2026-09-15).

Returns AI-powered macro-economic analysis of industrial sector data using FRED and World Bank datasets, starting from a specified date

## Facts

- Endpoint: POST https://mascronlens.vercel.app/api/industrial
- Price: $0.4/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/macrolens-industrial-sector-analysis-83b77651
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cJPIE5nKwNEUsjqAZC-tQ

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-sector-analysis-83b77651 -d '<json body>'
```

Example prompt: Can you pull MacroLens industrial sector macro analysis starting from January 2020 and give me the AI-interpreted summary of what FRED and World Bank data show about industrial trends?

## When to prefer this

Use this endpoint when you need AI-synthesized macro-economic analysis specifically for the industrial sector, backed by authoritative FRED and World Bank datasets and interpreted by an LLM. Prefer this over raw data feeds when you want narrative insights rather than raw numbers, and when you need industrial-specific coverage rather than broad macro overviews.

## Known failure modes

- Missing required 'start' parameter returns validation error
- Invalid date format in 'start' field causes parsing failure
- Payment not provided or insufficient USDC results in 402 response
- Upstream FRED or World Bank API unavailability causes data fetch failure
- LLM inference timeout on complex date ranges
- success: false returned with empty or null data object on partial failures

## How this service works

AI-powered macro-economic analysis. FRED + World Bank data + MiMo LLM. 20 endpoints. x402 on Base.

## Output

A JSON object containing a success flag and a data object with AI-generated macroeconomic analysis of industrial sector indicators, drawing on FRED and World Bank data from the specified start date forward, interpreted 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-industrial-sector-analysis-83b77651/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from mascronlens.vercel.app](https://www.zero.xyz/host/mascronlens.vercel.app/llms.txt)