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AWS Bedrock Person Lookup Agent
x402
AWS Bedrock Person Lookup Agent is a paid API for AI agents from aws-bedrock-agent-api.vercel.app, paid per call via x402, $0.04/call, status unknown (last checked 2026-10-09).
Looks up professional profile information for a person using an AI agent powered by Amazon Bedrock, with pay-per-call billing via x402.
Price / call$0.04
Success—
StatusUnknown
How this service works
Pay-per-call Amazon Bedrock proxy on x402 and MPP.
Output
Returns AI-generated professional profile information for the queried person, including inferred job details, industry context, experience level, and other available background data synthesized by the Bedrock-powered agent.
Example use cases
Candidate background check for recruiter
“I'm hiring for a Staff Engineer role in a fintech startup in New York — can you look up Alex Johnson to see if he has relevant experience, and check if his background fits a salary range of 150k-200k?”
Sales prospecting for a target account
“Look up Sarah Chen, who I think is a VP of Marketing at a SaaS company in Austin, Texas — I need her professional background before my sales call.”
Networking research before a conference
“I'm about to meet Michael Torres at a healthcare conference — can you find his professional profile? He's some kind of senior director in the medical devices industry, based somewhere in the midwest.”
Technical details
Endpoint
POSThttps://aws-bedrock-agent-api.vercel.app/api/agents/person-lookup?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to look up professional profile information about a specific named individual and want AI-synthesized results powered by Amazon Bedrock, billed per-call via x402 micropayments. Prefer this over generic search APIs when you want structured professional context (role, industry, experience, salary range) and can provide enriching parameters like location, position, or business type to guide the lookup.
Side effects
- Person not found or insufficient data returns empty or low-confidence result
- Ambiguous query with a common name may return incorrect or generic profile
- Payment failure via x402 results in 402 response and no data returned
- Input query too vague (no location or role context) may yield inaccurate results
- Model or chain override misconfiguration may cause routing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| chain | string | Chain hint for tx-trace |
| input | string | Primary query or payload for the agent |
| model | string | Azure deployment override |
| salary | string | Salary target or range, e.g. 120k or 80000-140000 |
| context | string | Optional extra notes |
| location | string | City, region, country, or remote |
| position | string | Job title or role |
| experience | string | Years or level, e.g. 5 years, staff |
| business_type | string | Industry or company type, e.g. fintech |
Tags
x402
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