# MacroLens Consumer Macro Intelligence Endpoint

> MacroLens Consumer Macro Intelligence Endpoint is a paid API for AI agents from marcrons.vercel.app, paid per call via x402, $0.4/call, status unknown (last checked 2026-10-17).

Provides AI-powered macroeconomic analysis by combining FRED and World Bank data with MiMo LLM reasoning, returning structured economic insights for a given start period

## Facts

- Endpoint: POST https://marcrons.vercel.app/api/consumer?utm_source=zero.xyz
- Price: $0.4/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/macrolens-consumer-macro-intelligence-endpoint-88fc25ff
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3CPrNuWlmv-zQues1Qhj7

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-consumer-macro-intelligence-endpoint-88fc25ff -d '<json body>'
```

Example prompt: Can you run a MacroLens macro analysis starting from January 2022 and give me an AI-generated breakdown of the key economic trends — things like inflation, GDP, and interest rate dynamics using FRED and World Bank data?

## When to prefer this

Choose this endpoint when you need AI-synthesized macroeconomic narrative that blends authoritative data sources (FRED + World Bank) with LLM reasoning, especially for investment research, economic briefings, or policy analysis requiring a structured, interpretive macro overview rather than raw data retrieval. Prefer over generic LLM queries because it grounds analysis in real economic datasets.

## Known failure modes

- Missing required 'start' field returns validation error
- Invalid date format in 'start' causes parsing failure
- FRED or World Bank upstream data unavailable leads to partial or failed response
- LLM inference timeout results in incomplete analysis
- Payment failure via x402/Base blocks access before processing
- Overly broad or ambiguous start parameter may return generic rather than targeted analysis

## 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 synthesized from FRED and World Bank datasets, interpreted by the MiMo LLM — likely including economic indicators, trend narratives, and structured insights for the requested time period.

## 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-consumer-macro-intelligence-endpoint-88fc25ff/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)