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Oxyo vs Pacecar

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

Oxyo compared with Pacecar
DetailOxyo logo OxyoPacecar logo Pacecar
What it doesCut Claude Code, Codex & Gemini quota burn by 60–72% with persistent AI coding memory and deterministic verification Not given
StageNot given Startup
FoundedNot given Not given
Based inRO Not given
Pricing modelFreemium Paid
PricingExplorer: free with 50 MCP calls; Oxyo Core: $19/mo (or $15/mo annually) with ~1.9M tokens/week and 300 MCP calls/week; Oxyo Pro: $49/mo (or $39/mo annually) with ~3.8M tokens/week and 1,250 MCP calls/week; Oxyo Max: $99/mo (or $79/mo annually) with ~7.5M tokens/week and 5,000 MCP calls/week. All pl $20 free credit to start. Per-review pricing: $0.20 per initial review when a PR opens (includes up to 1,000 lines changed), $0.08 per re-review on each update. Reviews over 1,000 lines cost an additional $0.30.
Key features
  • Lifelong persistent memory across sessions retained in an isolated vault
  • Automatic belief revision to eliminate contradicted specifications
  • Deterministic Python sandbox for verified calculations
  • Model Context Protocol integration for IDE connectivity
  • Causal root-cause graph tracking
  • Visual learning from screenshots and diagrams
  • Reusable skill synthesis for algorithmic classes
  • Web console, desktop app, and REST API access
  • Encrypted BYOK vault for Claude, OpenAI, and OpenRouter
  • Reviews complete in about 30 seconds
  • Automatic review on every pull request including drafts
  • Single organization install with no per-user setup required
  • Fresh review comment posted on each push with previous reviews collapsed
  • Flags merge risks such as bugs, broken contracts, and security holes
  • Private repository code not used to train foundation models
  • Pay-per-review pricing model with no seat-based licensing
What makes it different
  • 60–72% reduction in token quota burn measured on production 112k-token repositories
  • Zero re-sending of context; only ~1k surgical tokens retrieved per turn instead of 50k–200k
  • 100% contradiction-free memory with automatic outdated fact retirement
  • Unified memory across web, browser, and multiple IDEs
  • Model-independent brain; memory portable across AI providers
  • Independent review from a separate model, not the same session that wrote the code
  • Consistent six-point checklist on every PR prevents wandering reviews
  • Dramatically faster cost model than seat-based tools
  • Single install for entire organization with no friction
  • Keeps review time off the critical path of the software factory
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)012
Referring domains (Majestic)01

4 details filled in for both companies.

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