WeaveScope vs Tare

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 Tare
Detail	WeaveScope	Tare
What it does	AI agent observability for Elixir	See where your AI coding agent's tokens go, cut the waste without breaking the prompt cache, and get a receipt for every saving
Stage	MVP	Not given
Founded	2026	Not given
Based in	Not given	Not given
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	Free for open source (Wrapped, all fixes with undo, receipt, skill, plugin, MCP server). Team: $30 per developer, or 10% of verified savings, whichever is lower (spend by engineer, cost per merged PR, CI gate). Enterprise: contact for self-hosted, SSO, finance exports, procurement-grade reports.
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 log analysis with token pricing breakdown Categorized spending attribution by startup context, tool output, sub-agents, and cache rebuilds Safe automatic fixes for output trimming and cache countdown Undo capability for all changes Receipt comparing cost-per-commit before and after with 90% confidence range Shareable card with visualization of token usage Command output trimming to reduce context bloat Cache expiration countdown in status line MCP server integration for any agent Claude Code plugin with skill and MCP server
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	Reads actual logs your agent already keeps, not a third-party service Fixes only trim new content without rewriting cache to preserve prompt optimization Open source under Apache 2.0 with no incentive to make you spend more tokens
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)	2	0
Citation Flow (Majestic)	8	0
Referring domains (Majestic)	35	0

5 details filled in for both companies.

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