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Bugwalk vs Anosys

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

Bugwalk compared with Anosys
DetailBugwalk logo Bugwalk Anosys
What it doesAn AI debug engineer that finds why code failed and opens a pull request for you to review AI operational intelligence for agents and AI products
StageNot given Startup
FoundedNot given 2024
Based inNot given US
Pricing modelFree trial Free trial
PricingPro: $39 per project per month (100 investigations, 5 pull requests per month, 1 million events per month, 30 days history, 1 repository, 3 members). Team: $149 per project per month (1,000 investigations, 20 pull requests per month, 10 million events per month, 90 days history, unlimited repositori Not given
Key features
  • Session replay of customer visits with all clicks, requests and errors on one page
  • Automatic root cause analysis identifying the exact line of code that failed
  • Automatic pull request generation with proposed fixes ready for review
  • Support for React, Next.js, Vue, Nuxt, SvelteKit, Angular, Express, NestJS, Fastify, FastAPI, Django, Go and more
  • OpenTelemetry integration for Java, .NET, Ruby and PHP
  • Grouping of the same bug across multiple users with affected user count
  • Privacy protection removing passwords, card numbers and API keys before sending
  • Investigation reports with confidence levels and evidence citations
  • Live demo with real shop and real failures without account required
  • Agent trace debugging with step-by-step timeline view
  • LLM judge evaluations on production traces with templates
  • Token spend tracking by model, agent, tool and user
  • AI Assistant for natural language questions over data
  • Dashboard templates for traces, analytics and spend
  • OpenTelemetry native ingestion
  • Correlation of traces, events and user sessions
  • Silent regression detection with daily quality comparisons
  • Cost leak identification from failing tools and retries
  • User journey analysis joining traces with funnels and events
What makes it different
  • Reduces small bug debugging from ~4 hours to one pull request review
  • Every fix is a pull request on its own branch with no automatic merging
  • Analyzes the exact version of code that was live, not your current branch
  • SDK and server are open source under Apache 2.0 license
  • Self-hosting coming soon for teams preferring on-premise deployment
  • Catches AI failures that don't throw errors, like silent regressions and cost leaks
  • One platform connecting traces, evals, spend and product analytics for comprehensive understanding
  • AI Assistant to ask questions in plain English instead of writing queries
  • Compare changes against production evidence rather than demos
  • Integrations with major AI frameworks without code changes to production tools
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check18 no change since last check
Trust Flow (Majestic)10
Citation Flow (Majestic)1815
Referring domains (Majestic)66

4 details filled in for both companies.

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