AWS Bedrock Social Lookup Agent

x402

AWS Bedrock Social Lookup 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 2026-10-12).

Performs AI-powered social and professional profile lookup queries using Amazon Bedrock, accessed via pay-per-call x402 micropayment proxy.

Price / call$0.04

Seller volume →—

Success—

StatusUnknown

How this service works

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

Output

Returns AI-generated social and professional lookup results including profile details, career background, and contextual information matching the query, delivered as a structured text or JSON response from the underlying Bedrock model.

Example use cases

Candidate research for recruiting

“Find me social and professional profile info for product managers in New York with about 8 years of experience in e-commerce companies, looking for roles around 150k.”

Competitive talent landscape analysis

“Look up professionals who are staff-level data scientists in the London area working in AI or machine learning businesses — I want to understand who's out there in that market.”

Lead enrichment for sales outreach

“Search for social profiles of CTOs or VP Engineering roles at fintech startups in Austin, Texas — I need background info to personalize outreach for a mid-senior position around 180k-220k.”

Technical details

Endpoint

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

When to prefer

Choose this endpoint when you need AI-powered social or professional profile lookups with pay-per-call micropayment billing via x402, particularly when you want to combine free-text queries with structured filters like location, experience level, salary range, and industry type. Prefer this over static database lookups when you need flexible natural language querying backed by a large language model.

Side effects

Input string missing or empty — returns 400 validation error
Query too vague to resolve meaningful profiles — returns low-confidence or empty results
Upstream AWS Bedrock model unavailable — returns 502 or timeout
Payment not fulfilled via x402 protocol — returns 402 Payment Required
Rate limit exceeded — returns 429 Too Many Requests
Invalid chain enum value supplied — returns 400 schema validation error

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

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