WeaveScope vs Backloop

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

WeaveScope compared with Backloop
Detail	WeaveScope	Backloop
What it does	AI agent observability for Elixir	Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
Stage	MVP	Not given
Founded	2026	Not given
Based in	Not given	US
Pricing model	Freemium	Freemium
Pricing	Free: €0/month with 100,000 accepted events/month, 100 MB/hour, 14 days retention, 1 project, 2 users. Pro: €29/month with 1,000,000 accepted events/month, 2.5 GB/hour, 30 days retention, unlimited projects and users. Scale: €99/month with 10,000,000 accepted events/month, 5 GB/hour, 90 days retenti	Open source: free. Team: $199/month with 14-day free trial (1 API or MCP service, 25,000 reports/month, 15 coding-agent runs/month). Business: $799/month (up to 3 services, 250,000 reports/month, 60 coding-agent runs/month). Extra coding-agent runs: $6 each.
Key features	Model and tool call tracing in unified timeline Inspect failed steps with inputs and outputs Monitor throughput, latency, errors, tokens, and cost Single Elixir dependency for instrumentation Configurable event filters and analytics Shared team visibility across agent runs Real-time observation of agent execution Configurable data retention by plan	Session replay for MCP servers to identify failed agent sessions Clustering reports by agent goals and workflows Priority ranking weighted by frequency, failed workflows, and affected accounts Claude Code generates pull requests with tests Review queue with diff, tests, agent reports, and evidence Isolated git worktree prevents unauthorized code push Schema validation and rate limiting for feedback Open Agent Feedback Protocol with TypeScript and Python SDKs GitHub integration for draft PR creation
What makes it different	Purpose-built for Elixir and BEAM applications Unified view of model and tool calls with context Minimal setup with one dependency and endpoint configuration Alerting built on existing tracing and monitoring data	Only AI agent failures on successful HTTP responses get detected and ranked Automated pull request drafts with your approval required before shipping Session replay captures failures even when agents don't report them Pay only for coding-agent runs, not feedback submission Open protocol and SDKs can be self-hosted at no cost
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	1 no change since last check
Trust Flow (Majestic)	2	1
Citation Flow (Majestic)	8	14
Referring domains (Majestic)	35	4

5 details filled in for both companies.

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