fractal vs DataFuse

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

fractal compared with DataFuse
Detail	fractal	DataFuse
What it does	Long-term memory for AI agents that organizes itself and corrects itself	Integration layer for AI agents to connect tools, authenticate, execute and audit
Stage	MVP	Not given
Founded	Not given	Not given
Based in	SE	Not given
Pricing model	Free	Freemium
Pricing	Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.	Free: 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
Key features	Self-correcting memory that updates when facts change Historical memory queries with time-based retrieval Automatic topic organization and hierarchy Separate memory for each agent with controlled sharing Multi-agent support via MCP, REST API, or LangGraph AES-256 encryption at rest and in backups OAuth 2.1 authentication and API key management Data export and deletion capabilities 37 MCP tools with automated verification on every code change	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
What makes it different	Understands what changed, when it was true, and where it belongs - beyond vector database similarity Never contradicts itself by automatically replacing outdated facts Fully GDPR aligned with built-in privacy by design Two-minute integration with Claude, ChatGPT, Cursor and any MCP client Data stays in Europe on AWS eu-north-1 and never used for model training	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
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	12
Referring domains (Majestic)	0	1

5 details filled in for both companies.

More alternatives to fractal More alternatives to DataFuse