AI & ML

UnifAPI

Unif API for AI agents that need public data.

UnifAPI helps AI agents and developers work with live public data without managing a pile of inconsistent APIs, accounts, and billing models. The platform provides task-specific Skills for public-data workflows, connected through UnifAPI MCP, plus a unified HTTP API for teams building their own agent products. With UnifAPI, customers can run workflows such as creator discovery, KOL pricing, social listening, market research, and competitor monitoring across sources like Twitter/X, YouTube, TikTok, Instagram, LinkedIn, Reddit, Threads, and news-style feeds. Each API is shaped for agent use: consistent request and response formats, predictable errors, OpenAPI documentation, usage observability, and transparent credit-based pricing. UnifAPI is built for agent operators who want a practical way to give Codex, Claude Code, Cursor, or other MCP-capable assistants access to public web data, and for developers who need a reliable data layer behind their AI products. Instead of signing up for separate providers, adapting different schemas, and reconciling multiple invoices, teams can connect one server, authenticate once, and let their agent call the data it needs. Our goal is simple: make public-data work easier, cleaner, and more reliable for AI-native research, marketing intelligence, and automation. We focus on public records from platform-native sources rather than private account automation, so customers know exactly what the product is designed to do and where its boundaries are.