Veezee

Overview

Veezee is a data platform designed specifically for AI agents, offering structured access to LinkedIn, Reddit, and X (formerly Twitter) data. Founded to address the challenge of social media platforms blocking automated access, Veezee provides a unified API that agents can use to search for people, profiles, posts, and discussions across these three major networks. The service is built around a credit-based system where each API call consumes a set number of credits, with a free tier offering 200 credits per IP per day (approximately 6,000 per month) without requiring an account or payment card. Veezee targets developers, AI researchers, and businesses building agentic workflows that need real-time social data for tasks like candidate sourcing, market research, brand monitoring, and prospect enrichment. The platform is headquartered online and serves a global clientele, with pricing starting at $20 for additional credit packs.

Services & Expertise

Veezee offers a comprehensive suite of tools organized by platform, each accessible via MCP (Model Context Protocol), REST API, CLI, or TypeScript SDK. The core services include:

• LinkedIn Profile and Company Data: Agents can retrieve detailed LinkedIn profiles for individuals and companies using linkedin_get_profile and linkedin_get_company tools. These endpoints return structured data including work history, education, skills, and company details. The linkedin_search_people tool enables keyword-based people search, while linkedin_get_posts fetches recent posts from a person or company page. Each profile lookup costs 4 credits, and searches cost 10 credits.

• Reddit Discussion and Subreddit Search: The reddit_search tool allows agents to search posts, comments, subreddits, or users across Reddit, costing 6 credits per query. reddit_get_subreddit and reddit_get_subreddit_posts provide subreddit metadata and its recent posts (4 credits each). For deep dives, reddit_get_post retrieves a full discussion thread by post ID (4 credits), and reddit_resolve_url identifies a Reddit URL (2 credits).

• X (Twitter) Profile and Tweet Retrieval: Agents can fetch X profiles with x_get_profile (4 credits), search tweets with x_search (6 credits), and retrieve an account's recent tweets with x_get_tweets (4 credits). The x_get_tweet tool returns a single tweet with full metrics (4 credits), and x_resolve_url identifies X URLs (2 credits).

• Cross-Platform Utility: The get_usage tool (0 credits) allows agents to check their remaining credits and recent charges, enabling self-monitoring and cost management.

• Multiple Integration Methods: Veezee supports five access methods: MCP server (streamable-http), REST API, TypeScript SDK (@veezee/sdk), CLI (vz command), and agent skills (SKILL.md packs). The MCP server can be configured per platform (e.g., https://mcp.veezee.io/linkedin) or combined (https://mcp.veezee.io/all).

• Agent Self-Setup: A unique feature is the ability for AI agents to autonomously create their own API key via a single REST call (POST /v1/keys/mint), eliminating the need for human signup. The platform also provides a prompt file (/agent-setup/prompt.md) that agents can fetch to self-configure.

• Pre-Built Use Case Recipes: Veezee offers documented, costed recipes for common tasks such as candidate sourcing, prospect enrichment, company research, brand monitoring, and market research, each specifying the exact tools and credit costs involved.

How They Work

Veezee's engagement model is entirely self-serve and designed for automated agent workflows. The process begins when an agent or developer obtains an API key. This can be done in two ways: either the agent calls the REST endpoint POST /v1/keys/mint to generate a free key instantly, or a human signs in via browser-based OAuth when configuring an MCP server. The key is then used across all access methods — MCP, REST, CLI, or SDK — with a unified credit meter. Each API call deducts credits based on the tool used, and failed calls are automatically refunded. The platform provides real-time credit usage information in every response, allowing agents to track costs. For paid usage, users purchase credit packs starting at $20, which top up the same key without any reconfiguration. The entire setup, from key generation to first data retrieval, can be completed in a single round-trip by an AI agent, making it ideal for autonomous workflows.

Ideal Client Profile

Veezee is best suited for the following scenarios:

• An AI agent developer building a recruitment tool that needs to search LinkedIn for candidates matching specific skills and locations, then enrich their profiles with work history and education data. Veezee's linkedin_search_people and linkedin_get_profile tools provide structured data without scraping.

• A market research team using an AI agent to monitor brand sentiment across Reddit and X. The agent can search for mentions of a product, retrieve full discussion threads, and summarize themes — all programmatically via Veezee's Reddit and X tools.

• A sales team automating prospect enrichment by combining LinkedIn company data with X profile information. Veezee's unified credit system allows the same key to be used across platforms, simplifying billing and integration.

• A startup building a competitive intelligence agent that regularly scans Reddit and X for discussions about competitors, then compiles reports. The reddit_search and x_search tools with time range filters enable recency sweeps.

• A developer integrating social data into a custom CRM or dashboard who needs a simple REST API with predictable pricing. Veezee's REST endpoints and OpenAPI specification make integration straightforward.

Pricing & Engagement Models

Veezee operates on a pay-as-you-go credit model with no subscription required. The free tier provides 200 credits per IP per day (approximately 6,000 per month) with no account or credit card needed. For higher usage, credit packs start at $20.00 (which buys 10,000 credits at $2.00 per 1,000), and a monthly plan is available at $99.00 for 80,000 credits. Credits are consumed only by successful API calls; failed calls are automatically refunded. There are no per-row charges or platform-specific fees — the same credit meter applies to LinkedIn, Reddit, and X data. Purchased credits are added to the existing key, so no reconfiguration is required. The platform also offers a one-time email verification bonus of 10,000 credits for users who confirm their email at /login.

Why Consider Them

Veezee differentiates itself by being purpose-built for AI agents, with autonomous key generation and self-setup capabilities that eliminate human intervention. Unlike traditional social data providers that require lengthy approval processes (e.g., X API requires an approved developer account) or expensive enterprise contracts (LinkedIn data vendors often start at $1,999/month), Veezee offers instant access with a free tier and transparent per-call pricing. The unified credit system across three major platforms simplifies cost management. Additionally, Veezee provides multiple integration methods (MCP, REST, SDK, CLI, skills) to fit any agent architecture. The platform's focus on agent readiness, evidenced by dedicated documentation like /AGENTS.md and /agent-setup/prompt.md, makes it a strong choice for developers building autonomous systems.