Vectorize vs DataFuse

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

Vectorize compared with DataFuse
Detail	Vectorize	DataFuse
What it does	Agent memory that learns from experience	Integration layer for AI agents to connect tools, authenticate, execute and audit
Stage	Startup	Not given
Founded	2024	Not given
Based in	US	Not given
Pricing model	Freemium	Freemium
Pricing	Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok	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	Per-user persistent memory with preferences, history and decisions kept separate Cross-session persistence allows context to survive weeks between interactions Fast parallel retrieval in under 100ms through four strategies running simultaneously Works with any LLM without losing learned context when swapping models Learns from mistakes and corrects behavior on repeated problems Automatic pattern detection synthesizes individual facts into consolidated knowledge Conflict detection preserves both old and new states with timestamps when facts change Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot	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	94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0% MIT licensed open source with no usage limits, telemetry or restrictions Reflection layer automatically builds judgment and mental models over time without manual tagging Entity resolution handles hundreds of entities with 99.5% query reduction	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)	68 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	18	0
Citation Flow (Majestic)	47	12
Referring domains (Majestic)	1378	1

5 details filled in for both companies.

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