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DataFuse vs Port of Context

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 Port of Context
DetailDataFuse logo DataFusePort of Context logo Port of Context
What it doesIntegration layer for AI agents to connect tools, authenticate, execute and audit Context layer platform for regulated industries
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
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 Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
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
  • Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models
  • Full observability: trace every tool call, retrieval, and reasoning step
  • Isolated execution: tool calls run in isolated environments by default
  • Code mode: reduces token usage to one-third of traditional approaches
  • Self-hosted on your infrastructure: cloud, on-prem, or air-gapped
  • MCP server integration: works with existing MCP servers unchanged
  • Open source under MIT license
  • Automatic model failover and switching
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
  • Isolated by default with no direct system access
  • Reduces token usage to approximately one-third
  • Runs end-to-end air-gapped with no external network calls
  • Full transparency through open agent-observability spec (AVP)
  • No vendor lock-in: switch models without rewriting agents
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 check38 no change since last check
Trust Flow (Majestic)014
Citation Flow (Majestic)1228
Referring domains (Majestic)1102

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