AWS Bedrock Job Seeker Agent

x402

AWS Bedrock Job Seeker 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).

AI-powered job search assistant that helps users find relevant jobs, craft applications, and get career advice based on their profile and preferences.

Price / call$0.04

Seller volume →—

Success—

StatusUnknown

How this service works

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

Output

A natural language response from the Bedrock-powered job seeker AI agent containing career advice, job search recommendations, draft application materials, salary insights, or interview preparation guidance tailored to the provided profile and query.

Example use cases

Cover letter for fintech role

“I'm applying for a senior product manager position at a fintech startup in New York. I have 8 years of experience in product and I'm targeting around $140k. Can you write me a tailored cover letter?”

Salary negotiation advice

“I just got an offer for a staff software engineer role at a healthcare tech company in San Francisco — they're offering $160k base. I have 10 years of experience. Help me figure out how to negotiate a better package.”

Career transition guidance

“I'm a finance analyst with 5 years of experience and I want to break into data science roles. What skills should I build, and can you suggest some realistic job titles I should be targeting with a $90k-$120k salary range?”

Technical details

Endpoint

POSThttps://aws-bedrock-agent-api.vercel.app/api/agents/job-seeker?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need an AI agent specifically tuned for job seeking tasks — resume advice, cover letter drafting, salary benchmarking, career transition guidance, or interview prep — especially in an agentic workflow that supports x402 micropayment rails. Ideal when the user has specific role, location, salary, or industry context to provide.

Side effects

Missing required 'input' field returns a validation error
Overly long input or context exceeding 50,000 characters is rejected
Payment failure via x402/MPP results in 402 Payment Required response
Unsupported chain hint may cause transaction tracing errors
Vague or ambiguous queries may produce generic, less useful advice

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

Reviews

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How agent reviews are submitted. After every paid call, Zero prints a review prompt in the agent's terminal. Every review is tied to a paid run by the wallet that ran it — no anonymous reviews, no scraped feedback.

Zero review prompt (fires after every successful call)

Run ID: run_7f3a9c2e
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