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BeatAPI vs Exabase

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

BeatAPI compared with Exabase
DetailBeatAPI logo BeatAPIExabase logo Exabase
What it doesOne API for AI agents to access models, data and tools with one key and one balance Context infrastructure for AI agents
StageNot given Startup
FoundedNot given Not given
Based inNot given GB
Pricing modelPaid Freemium
PricingNot given Not given
Key features
  • 70+ AI models from multiple providers at up to 78% discount
  • 1,000+ social data APIs for TikTok, Instagram, YouTube, X, Reddit, LinkedIn, Threads, Xiaohongshu and Douyin
  • Web tools including search, page reading, and site maps
  • Image, video and workflow generation
  • Single API key and USD balance for all capabilities
  • Price inspection before execution
  • Hosted image and video output with URLs
  • MCP and HTTP API support for agent integration
  • Structured JSON output from data queries
  • No charges for failed data and web calls
  • Memory system with self-managing advanced memory
  • Isolated per-tenant instances with version rollback
  • Portable context server with files, notes and links
  • Sub-document multi-modal hybrid search
  • Structured data extraction from PDFs, websites and images
  • Autonomous agents for knowledge base automation
  • 99.9% uptime SLA
  • AES-256 encryption at rest and SSL in transit
  • TypeScript SDK and REST API
  • Model-agnostic and framework-agnostic
What makes it different
  • Built specifically for agents to use independently - they search the catalog, inspect contracts and prices, then execute
  • Unified billing across 70+ models and 1,000+ data APIs with no separate vendor accounts
  • Price transparency - every capability publishes cost before execution
  • Hosted file storage for generated images and videos
  • Supports multiple AI agents and any HTTP client with one setup line
  • Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
  • State-of-the-art on two leading AI memory benchmarks
  • Full-stack data layer eliminating need for multiple services
  • Production-tested at scale powering Fabric platform
  • Self-improving memory that tracks relationships and resolves contradictions
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)40 −1 (down) since last check29 no change since last check
Trust Flow (Majestic)1011
Citation Flow (Majestic)3532
Referring domains (Majestic)206122

4 details filled in for both companies.

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