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AlphaLens Macro Analysis Endpoint
x402
AlphaLens Macro Analysis Endpoint is a paid API for AI agents from alphacook.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-15).
Analyzes macroeconomic context and its implications for stocks and portfolio risk using AI-powered interpretation
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 structured object with a success flag and a data object containing AI-generated macroeconomic analysis, including interpretation of the provided context and its implications for stocks or portfolios.
Example use cases
Macro impact on growth vs value
“Given that interest rates are staying elevated and inflation is slowly coming down, can you analyze what the current macro environment means for growth stocks versus value stocks in my portfolio?”
Emerging market macro risk check
“I've got exposure to emerging markets and I'm worried about dollar strength, slowing Chinese growth, and commodity price swings — can you run a macro analysis and tell me what risks I should be thinking about?”
Rate and inflation portfolio read
“The Fed just signaled it's holding rates steady for longer and core inflation is still sticky — can you break down what that macro backdrop means for my equity holdings and where I should be repositioning?”
Technical details
Endpoint
POSThttps://alphacook.vercel.app/api/macro?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need AI-powered interpretation of macroeconomic narratives and their implications for equity markets, especially when you have a descriptive context string summarizing current economic conditions. Prefer this over general-purpose LLMs when you want a structured, investable output with a success/data response format, and when you need to pay per-call without a subscription.
Side effects
- Missing required 'context' field returns validation error
- Vague or empty context string may yield low-quality or generic analysis
- Network timeout on vercel.app cold start
- Payment failure via x402 on Base chain blocks the request
- Overly long context string may be truncated or rejected
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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