# AWS Bedrock Agent API – Research Agent

> AWS Bedrock Agent API – Research 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 2026-10-11).

Runs an AI-powered research agent via Amazon Bedrock, accepting a natural language query and optional job/business context, returning researched findings for a flat per-call USDC fee.

## Facts

- Endpoint: POST https://aws-bedrock-agent-api.vercel.app/api/agents/research?utm_source=zero.xyz
- Price: $0.04/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/aws-bedrock-agent-api-research-agent-cf039bea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9HjXu9ZF5LgEIdHPFj1S8

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-agent-api-research-agent-cf039bea -d '<json body>'
```

Example prompt: Research current salary ranges for a senior backend engineer role in Austin, Texas at a fintech company with 5 years of experience — I'm targeting around $140k.

## When to prefer this

Choose this endpoint when you need a pay-per-call AI research agent powered by Amazon Bedrock without managing AWS credentials or infrastructure. It is especially well-suited for job market research, salary benchmarking, and industry analysis tasks where structured context (position, location, experience, salary) can be passed alongside a free-text query. Prefer this over raw Bedrock SDK calls when you want micropayment-based access via x402/USDC with no subscription required.

## Known failure modes

- Payment not received or insufficient USDC — 402 Payment Required response
- Input query exceeds 50,000 character limit — validation error
- Invalid chain hint enum value — schema validation failure
- Model override string not recognized by Bedrock — model not found error
- Service cold-start latency on Vercel serverless — occasional timeout
- Bedrock API quota exceeded upstream — 503 or throttling error

## How this service works

Pay-per-call Amazon Bedrock proxy on x402 and MPP.

## Output

The agent returns a synthesized, natural-language research report generated by an Amazon Bedrock LLM, covering the queried topic with relevant findings, data points, and analysis based on the provided context parameters.

## 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-agent-api-research-agent-cf039bea/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)