# AWS Bedrock Headhunter Agent

> 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.

## Facts

- Endpoint: POST https://aws-bedrock-agent-api.vercel.app/api/agents/headhunter?utm_source=zero.xyz
- Price: $0.04/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-09
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/aws-bedrock-headhunter-agent-15415046
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OdBEqd-HqMwHIOEpGreXn

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability aws-bedrock-headhunter-agent-15415046 -d '<json body>'
```

Example prompt: Act as a headhunter and find me strong candidates for a Staff Software Engineer role at a fintech company, remote-friendly, targeting around 140k-180k salary, with at least 5 years of experience.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "chain": {
   "enum": [
    "base",
    "ethereum",
    "tempo",
    "auto"
   ],
   "type": "string",
   "description": "Chain hint for tx-trace"
  },
  "input": {
   "type": "string",
   "maxLength": 50000,
   "minLength": 1,
   "description": "Primary query or payload for the agent"
  },
  "model": {
   "type": "string",
   "maxLength": 200,
   "minLength": 1,
   "description": "Azure deployment override"
  },
  "salary": {
   "type": "string",
   "maxLength": 80,
   "description": "Salary target or range, e.g. 120k or 80000-140000"
  },
  "context": {
   "type": "string",
   "maxLength": 50000,
   "description": "Optional extra notes"
  },
  "location": {
   "type": "string",
   "maxLength": 200,
   "description": "City, region, country, or remote"
  },
  "position": {
   "type": "string",
   "maxLength": 200,
   "description": "Job title or role"
  },
  "experience": {
   "type": "string",
   "maxLength": 80,
   "description": "Years or level, e.g. 5 years, staff"
  },
  "business_type": {
   "type": "string",
   "maxLength": 200,
   "description": "Industry or company type, e.g. fintech"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/aws-bedrock-headhunter-agent-15415046/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from aws-bedrock-agent-api.vercel.app](https://www.zero.xyz/host/aws-bedrock-agent-api.vercel.app/llms.txt)