briq vs DataFuse

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

briq compared with DataFuse
Detail	briq	DataFuse
What it does	Cloud sandboxes and services for builders and agents	Integration layer for AI agents to connect tools, authenticate, execute and audit
Stage	Not given	Not given
Founded	Not given	Not given
Based in	FR	Not given
Pricing model	Freemium	Freemium
Pricing	Hobby (Free): 5 sandboxes & services at once, 16 GB of memory, pico/micro/nano/small/medium sizes, 10 GB disk. Pro (€20/month): €20 usage included monthly, 50 sandboxes & services, 80 GB memory, 5 members, all sizes, 250 GB disk, always-on briqs. Team (€100/month): €100 usage included monthly, 200 s	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	Linux sandbox with shell, persistent files and development tools Multiple services: Postgres, Redis, DuckDB, custom OCI images MCP integration with Claude, Cursor, VS Code Environment forking with data preservation Idle workload sleep mode with compute billing pause Private networks with public endpoint selection Spend caps, size limits and concurrency controls per credential Audit log for reviewing all actions	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	Built specifically for AI agents with native MCP protocol support Open-source runtime in public development with Rust and Firecracker Integrated services ecosystem with private networking	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)	18 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	20	12
Referring domains (Majestic)	24	1

5 details filled in for both companies.

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