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MacroLens Risk API — Country Macro Risk Assessment
x402
MacroLens Risk API — Country Macro Risk Assessment is a paid API for AI agents from marcrons.vercel.app, paid per call via x402, $0.35/call, status unknown (last checked 2026-09-14).
Returns an AI-generated macroeconomic risk assessment for a given country using FRED and World Bank data processed by an LLM
Price / call$0.35
Success—
StatusUnknown
How this service works
AI-powered macro-economic analysis. FRED + World Bank data + MiMo LLM. 20 endpoints. x402 on Base.
Output
A structured object containing AI-synthesized macroeconomic risk data for the requested country, including risk indicators derived from FRED and World Bank datasets, and an LLM-generated risk narrative or score summarizing economic stability, vulnerability, and key risk factors.
Example use cases
Pre-investment country risk screening
“Before we allocate capital to Vietnam, can you run a macro risk assessment on the country and tell me what the biggest economic risk factors are?”
Emerging market risk comparison research
“I'm comparing macro risk across Argentina, Turkey, and Egypt — can you assess each country's macroeconomic risk so I can rank them by stability?”
Client portfolio country exposure report
“A client has heavy exposure to Nigeria — can you pull a macro risk assessment for Nigeria so I can flag any economic red flags in their portfolio review?”
Technical details
Endpoint
POSThttps://marcrons.vercel.app/api/riskWhen to prefer
Choose this endpoint when you need an AI-synthesized, multi-source macroeconomic risk profile for a specific country — combining FRED and World Bank indicators with LLM interpretation. Prefer this over raw data APIs when you want a ready-to-use risk assessment narrative rather than raw time-series data, and when you need country-level (not sector- or firm-level) risk analysis.
Side effects
- Invalid or unrecognized country name returns an error or empty data object
- Country data unavailable in FRED or World Bank sources may result in incomplete output
- LLM inference failure may cause success:false response
- Network timeout on upstream data sources (FRED/World Bank)
- Payment failure via x402 on Base network blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| countryrequired | string | country |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| successrequired | boolean |
Tags
x402
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