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AlphaLens Macro Analysis Endpoint
x402
AlphaLens Macro Analysis Endpoint is a paid API for AI agents from 402alphacook.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-29).
Returns AI-powered macroeconomic analysis and insights given a natural language context query about macro conditions
Price / call$0.1
Success—
StatusUnknown
How this service works
AI-powered stock analysis, technical indicators, sentiment scoring, and portfolio risk. 11 endpoints. Pay per request via x402 on Base chain.
Output
Returns a JSON object with a success boolean and a data object containing AI-generated macroeconomic analysis based on the provided context. The data payload typically includes narrative insights, macro factor assessments, and relevant economic indicators interpreted in relation to the query.
Example use cases
Macro backdrop for equity allocation
“Analyze the current macroeconomic environment — inflation, Fed policy, and GDP outlook — and tell me whether it's a good backdrop for increasing my equity exposure right now.”
Sector-specific macro headwinds
“What are the macro headwinds or tailwinds for the energy sector given current oil price dynamics and dollar strength? I want to understand the big-picture environment before I add to my position.”
Recession risk assessment
“Run a macro analysis on the probability of a recession in the next 12 months — look at yield curve signals, consumer spending trends, and employment data and give me a clear takeaway.”
Technical details
Endpoint
POSThttps://402alphacook.vercel.app/api/macro?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-synthesized macroeconomic intelligence contextualized to a specific question or market scenario, particularly when combining macro factors with equity analysis. Prefer this over raw data feeds when you want interpreted, narrative-form macro insights ready for agent consumption rather than raw economic statistics.
Side effects
- Empty or vague context string may return generic or low-quality analysis
- Missing required 'context' field returns a validation error
- Ambiguous context without specific market or time frame may produce unfocused output
- Service downtime or Vercel cold-start latency may cause timeout
- Payment failure on Base chain results in 402 response and no analysis returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| contextrequired | string | context |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| successrequired | boolean |
Tags
x402
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