Veezee

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 tools for people search, profile enrichment, discussion search, and recency sweeps through multiple interfaces: MCP (Model Context Protocol), REST API, CLI, and a TypeScript SDK. The platform is built for developers and AI agent builders who need programmatic access to social media data without the overhead of managing multiple API integrations or dealing with platform-specific rate limits and authentication flows.

Key Features

• Multi-Platform Data Access: Veezee unifies LinkedIn, Reddit, and X data under a single API key and credit meter. Each platform has dedicated tools for profiles, posts, search, and URL resolution.

• Agent-First Design: The platform is optimized for AI agents. Agents can mint their own free API key in a single API call without human signup, and the error responses include instructions for automatic recovery.

• Multiple Integration Methods: Supports MCP (streamable-http) for agent frameworks like Claude Code, Cursor, and VS Code; REST API with OpenAPI contract; TypeScript SDK with retries and idempotency; CLI for terminal use; and installable agent skills.

• Credit-Based Pricing: No subscription required. Credits are consumed per successful API call, with failed calls refunded automatically. Free tier offers 200 credits per IP per day (approximately 6,000 per month). Paid packs start at $20 for 10,000 credits, or $99/month for 80,000 credits.

• Comprehensive Tool Set: LinkedIn tools include profile and company lookup, people search, and post retrieval. Reddit tools cover subreddit details, post search, user lookup, and URL resolution. X tools provide profile, tweet, and search capabilities. Each tool has a fixed credit cost displayed in responses.

• No Per-Row Charges: Unlike competitors that charge per record, Veezee charges per API call. This means fetching a full profile or a list of posts costs the same flat credit amount regardless of data volume.

Use Cases

• Candidate Sourcing: Recruiters and HR agents can search LinkedIn for candidates matching specific criteria, enrich profiles, and compile shortlists without manual browsing.
• Market Research: Agents can monitor Reddit discussions and X posts for brand mentions, sentiment analysis, and emerging trends, then summarize findings for product teams.
• Prospect Enrichment: Sales agents can enrich CRM records with LinkedIn profile data, company details, and recent activity to personalize outreach.
• Brand Monitoring: Marketing teams can set up agents to sweep Reddit and X for mentions of their brand or competitors, generating weekly reports with quotes and links.