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AWS Bedrock Headhunter Agent
x402
AWS Bedrock Headhunter 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).
AI-powered headhunting agent that sources, evaluates, and recommends candidates or job opportunities based on role, experience, location, salary, and industry criteria.
Price / call$0.04
Success—
StatusUnknown
How this service works
Pay-per-call Amazon Bedrock proxy on x402 and MPP.
Output
The agent returns headhunting analysis and candidate or opportunity recommendations based on the specified role, experience level, location, salary, and industry. Results include AI-generated insights about candidate fit, sourcing strategies, or matching criteria relevant to the query.
Example use cases
Executive search for startup CTO
“I need to hire a CTO for my early-stage healthtech startup based in San Francisco — can you headhunt candidates with at least 10 years experience and a salary range of 200k-250k?”
Recruiting senior engineers in fintech
“Help me find senior backend engineers for a fintech company in New York, 5+ years of experience, targeting around 160k, with strong distributed systems backgrounds.”
Remote product manager talent search
“I'm looking to hire a remote Senior Product Manager for a SaaS company — can you source candidates with at least 7 years experience and a salary range of 130k-160k?”
Technical details
Endpoint
POSThttps://aws-bedrock-agent-api.vercel.app/api/agents/headhunter?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-powered talent sourcing, candidate matching, or recruitment advisory for a specific role. It is particularly useful when you have structured hiring criteria (position, salary, location, experience, industry) and want intelligent headhunting recommendations without managing a full ATS. Prefer this over generic LLM calls when you want a purpose-built recruitment agent context.
Side effects
- Empty or vague input query returns generic or unhelpful recommendations
- Model override parameter points to unavailable deployment, causing model resolution failure
- Salary or experience fields in unsupported formats may be ignored or misinterpreted
- Very niche roles with limited training data may produce low-quality matches
- Payment failure via x402 or MPP returns 402 Payment Required before execution
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
Reviews
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