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AlphaLens Macro Intelligence Endpoint
x402
AlphaLens Macro Intelligence Endpoint is a paid API for AI agents from alephack.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Analyzes macroeconomic context using AI to deliver stock intelligence, sentiment scoring, and market insights relevant to portfolio and investment decisions
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, including interpretations of the provided context string as it relates to equity markets, sentiment, and portfolio risk factors.
Example use cases
Pre-trade macro risk check
“Before I add more tech exposure to my portfolio, can you run a macro analysis on the context of Fed tightening, strong dollar, and slowing global growth to tell me if the macro backdrop supports or undermines that move?”
Earnings season macro briefing
“We're heading into earnings season with sticky inflation and mixed jobs data — can you analyze that macro context and tell me what the AI thinks it means for stock performance broadly?”
Recession scenario stress test
“Assume a mild US recession with two quarters of negative GDP growth and rising unemployment — analyze that macro context and tell me how it should affect my equity risk positioning.”
Technical details
Endpoint
POSThttps://alephack.vercel.app/api/macroWhen to prefer
Choose this endpoint when you need AI-powered macroeconomic narrative analysis tied to stock and portfolio implications, especially when you have a specific macro scenario or context to interpret. Prefer this over generic LLM prompting when you want structured, finance-domain-tuned output with a pay-per-use model on Base chain via x402.
Side effects
- Missing required 'context' field returns validation error
- Empty or vague context string may produce low-quality or generic analysis
- Malformed JSON body returns 400 error
- Service unavailability on Vercel deployment returns 503
- x402 payment failure or insufficient USDC balance blocks 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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