Overview
Veezee is a data API platform designed specifically for AI agents, offering structured access to LinkedIn, Reddit, and X (formerly Twitter) data. It provides 17 tools across three platforms, including profile enrichment, people search, discussion search, and recency sweeps. The service is accessible via MCP (Model Context Protocol), REST API, TypeScript SDK, CLI, or agent skills, all sharing a single credit meter. A free tier grants 200 credits per IP per day (about 6,000 per month) without requiring an account or payment card. Paid plans start at $20 for 10,000 credits, with a $99/month option offering 80,000 credits.
Key Features
- Multi-platform data: Access LinkedIn profiles and companies, Reddit posts and subreddits, and X profiles and tweets through unified tools.
- Agent-first design: Agents can self-provision a free API key in a single REST call, enabling fully autonomous setup without human intervention.
- Multiple integration paths: MCP server endpoints for Claude, Cursor, VS Code, and other MCP hosts; REST API with OpenAPI contract; TypeScript SDK with retries and idempotency; CLI with subcommands for every tool; and installable agent skills.
- Credit-based pricing: Only successful data-retrieving calls consume credits; failed calls refund automatically. No per-row charges or subscription commitments.
- No signup required: The free tier works by IP address; agents mint their own key programmatically. Email verification grants a one-time 10,000-credit bonus.
Use Cases
Veezee is built for AI agents performing tasks like candidate sourcing, prospect enrichment, company research, brand monitoring, and market research. Each use case has documented recipes with tool lists, credit costs, and rate limits. The platform is particularly suited for developers building autonomous agents that need real-time social and professional network data without managing multiple API integrations or authentication flows.
