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DataFuse vs Exabase

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

DataFuse compared with Exabase
DetailDataFuse logo DataFuseExabase logo Exabase
What it doesIntegration layer for AI agents to connect tools, authenticate, execute and audit Context infrastructure for AI agents
StageNot given Startup
FoundedNot given Not given
Based inNot given GB
Pricing modelFreemium Freemium
PricingFree: 100,000 tool calls/month, 50 playground messages/month. Starter: $19/month for 250,000 tool calls/month, 1,000 playground messages/month. Growth: $149/month for 2,000,000 tool calls/month, 10,000 playground messages/month. Overages: $5 for 1,000 calls, $15 for 5,000 calls, $25 for 10,000 calls Not given
Key features
  • Catalog of 1,085 APIs with 232 production-ready integrations
  • 48-hour API integration guarantee or free month
  • Server-side credential resolution and management
  • REST, GraphQL and MCP integration runtimes
  • Execution history and audit logging
  • Self-hosted deployment option
  • Custom API integration support
  • Free migration from competitors
  • 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
  • No per-connection, per-user or per-seat fees; only pay for tool calls
  • Unified workflow for connection setup, tool discovery and execution across multiple platforms
  • Dashboard playground to test tools with integrated LLM without consuming tool calls
  • Clear execution visibility and logs for agent debugging without raw application logs
  • 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)Not checked yet no change since last check29 no change since last check
Trust Flow (Majestic)011
Citation Flow (Majestic)1232
Referring domains (Majestic)1122

4 details filled in for both companies.

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