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Curbi vs Rulebook

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

Curbi compared with Rulebook
DetailCurbi logo CurbiRulebook logo Rulebook
What it doesCheck AI agent replies against configured rules and verify signed records Take your AI support bot from 4/10 to 10/10
StageNot given MVP
FoundedNot given 2026
Based inNot given Not given
Pricing modelFreemium Free trial
PricingFree: local open-source checker, browser policy checks, six read-only MCP tools, regression export and offline verification. Managed Check API: $1 per 1,000 checked replies, USD, monthly usage billing through Stripe. Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
Key features
  • Check agent replies against configured pricing, forbidden phrases, and action records
  • Policy Check tool with browser interface for testing rules
  • Model Context Protocol endpoint for Claude, ChatGPT and other MCP clients
  • Offline verification with signed records and Merkle proofs
  • Repair Lab for reproducing and fixing integration failures
  • Managed Check API with pricing transparency
  • MIT-licensed open-source local checker
  • Framework connectors for LangChain and Vercel AI SDK
  • MCP Chaos proxy for testing agent behavior
  • Bot Score: rates bot performance across five dimensions (rules, facts, solutions, tone, trick resistance)
  • Break my bot: 15 adversarial customer scenarios test for vulnerabilities
  • Fix it for me: automatically rewrites rule sheet and tests against saved situations
  • Train my bot: 30-minute automated training on weak spots with test validation
  • GitHub integration: sends improvements as pull requests for engineer approval
  • Real chat analysis: identifies problems in actual customer conversations with privacy masking
  • Knowledge check: validates bot replies against FAQ and policy documents
  • AI comparison: test bot performance across Claude, ChatGPT, and Gemini with costs and speed
  • Open source engine: public GitHub implementation of scoring and testing algorithms
What makes it different
  • Verifiable AI agent compliance without authorization or permission granting
  • Evidence and records portable across platforms and models
  • Transparent per-reply pricing with clear usage examples
  • Open-source core with portable verification
  • Nothing ships without engineer approval: all changes go through GitHub pull request review
  • Privacy by default: customer data anonymized, keys encrypted, uploads not stored
  • Open source testing engine: full algorithm transparency available on GitHub
  • Works with your existing AI: supports Claude, ChatGPT, and Gemini with user's own keys
  • Unified team experience: one plan covers support, product, and engineering roles
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)00
Referring domains (Majestic)00

5 details filled in for both companies.

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