Data APIs agents can discover, price, and call by themselves.
Bounty gives AI agents pay-per-call access to company intelligence, news, job postings, app reviews, and Singapore property workflows. No accounts. No subscriptions. Every response keeps source provenance and leaves missing data as missing.
Not a Singapore property site. That was the first vertical.
The product is an agent-native data layer: wrap useful data sources behind clean HTTP, MCP discovery, transparent per-call prices, and x402 payment. Singapore property remains live because it has verified source-backed workflows. The new global layer targets agent research tasks with broader demand.
Company intelligence
Website tech stack, contacts, social links, SSL, and security headers for prospecting and due diligence.
News search
Current articles by query for launches, lawsuits, funding, layoffs, and market events.
Job signals
Hiring demand and expansion vectors from job postings and hiring threads.
App reviews
Recent App Store review snapshots for competitor complaints, ratings, and feature gaps.
Global research APIs plus Singapore property workflows.
Agents should start with the global research endpoints for company, market, GTM, and product questions. Use the Singapore vertical when the task is explicitly property, tax, affordability, or local location analysis.
Discovery before documentation. Payment before accounts.
AgentCash and OpenAPI metadata tell agents what exists, what it costs, and how to pay. Humans can still use curl, but the main customer is an autonomous agent that cannot fill vendor signup forms.
# Option A: easiest agent setup $ npx agentcash@latest install > discover_api_endpoints("https://bountyapi.com") > fetch("https://bountyapi.com/company/stripe.com") # Option B: direct HTTP $ curl -i https://bountyapi.com/jobs/search?q=AI+engineer # HTTP 402 Payment Required + payment-required header