# MacroLens Energy Macro Analysis

> MacroLens Energy Macro Analysis 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-generated macro-economic analysis of global energy markets using FRED and World Bank data, synthesized by MiMo LLM

## Facts

- Endpoint: POST https://marcrons.vercel.app/api/energy
- 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-energy-macro-analysis-386d40fa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KIxt3cb7YcBnY4D6jUN4e

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-energy-macro-analysis-386d40fa -d '<json body>'
```

Example prompt: Using MacroLens, give me an AI-powered macro-economic analysis of global energy markets starting from January 2022 — I want insights drawn from FRED and World Bank data.

## When to prefer this

Choose this endpoint when you need AI-synthesized macro-economic analysis specifically for the energy sector grounded in authoritative FRED and World Bank datasets, rather than raw data retrieval or general web search. Best when you want an LLM-interpreted narrative summary of energy economics over a defined time window, paid per-call via x402 on Base.

## Known failure modes

- Missing or malformed 'start' date parameter returns a validation error
- Invalid date format causes a failed request
- FRED or World Bank upstream data unavailability may result in partial or failed data
- LLM synthesis failure may return success:false with no data
- x402 payment failure or insufficient USDC balance blocks the request

## 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 nested data object with AI-generated macro-economic analysis of the energy sector, drawing on FRED and World Bank datasets synthesized by the MiMo LLM — likely including key indicators, trends, and narrative interpretation.

## 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-energy-macro-analysis-386d40fa/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)