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AWS Bedrock RAG Support Agent
x402
AWS Bedrock RAG Support Agent is a paid API for AI agents from aws-bedrock-agent-api.vercel.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-09).
Answers support queries using retrieval-augmented generation (RAG) via a pay-per-call Amazon Bedrock proxy, with optional job/hiring context fields.
Price / call$0.03
Success—
StatusUnknown
How this service works
Pay-per-call Amazon Bedrock proxy on x402 and MPP.
Output
A natural language answer generated by an Amazon Bedrock model using retrieval-augmented generation, incorporating the provided query, context, and optional structured metadata (job role, salary, location, experience, business type). Returned as a text response from the selected or default Bedrock model deployment.
Example use cases
Customer support knowledge base query
“Ask the Bedrock RAG support agent: 'How do I reset my account password?' — the context is our help center doc: 'Users can reset passwords via Settings > Security > Reset Password or by clicking Forgot Password on the login page.'”
Job candidate screening question
“Use the RAG support agent to answer this hiring question: 'What qualifications are we looking for in a Staff Backend Engineer?' — position is Staff Backend Engineer, experience level is 7+ years, location is San Francisco, salary is 180000-220000, and business type is fintech startup.”
Technical product FAQ generation
“I need the Bedrock RAG agent to answer 'What chains does your payment protocol support?' with this context: 'Our platform supports Base, Ethereum, and Tempo chains with auto-routing available', and use the base chain hint.”
Technical details
Endpoint
POSThttps://aws-bedrock-agent-api.vercel.app/api/agents/rag-support?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a pay-per-call RAG-powered answer via Amazon Bedrock without managing your own Bedrock infrastructure, especially when you want crypto micropayment billing (USDC via x402) and optional structured job/hiring context alongside a freeform query. Prefer this over self-hosted Bedrock or OpenAI alternatives when you need no-subscription, per-query billing on a blockchain-settled basis.
Side effects
- Missing required 'input' field returns validation error
- Payload exceeding 50,000 character limits on input or context is rejected
- Invalid chain enum value causes a bad request error
- Payment not settled via x402/MPP results in 402 Payment Required response
- Model override string referencing a non-existent Azure deployment may fail or fall back to default
- Network timeout if the Bedrock model takes too long to respond
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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