What Tablif read on Critiqor's site
Critiqor describes itself as: “Critiqor — Runtime Intelligence for AI Agents”
- Stage: Live, no waitlist
- How it differs: “Traditional evals judge the answer. Critiqor watches the work.”
What it is
Calls itself “Runtime Intelligence”.
- Calls itself: Runtime Intelligence
“Runtime Intelligence for AI Agents”
Where it puts itself
Its one line of difference: “Traditional evals judge the answer. Critiqor watches the work.”
“Traditional evals judge the answer. Critiqor watches the work.”
Who it sells to
Sells to developers. Built for teams.
- Sells to: developers
- Company size: teams
“Built for developers reviewing agent reliability.”
“A developer-first workflow for observing AI agent runs, reviewing reliability, and improving behavior over time.”
How it runs
A command-line tool. Runs locally and works offline. Distributed through the npm. Open source. AI is a side feature. Built with Vercel.
- Kind: cli
- Runs where: on the device, offline
- Distributed via: npm
- Open source: yes
- AI role: a side feature
- Built with: Vercel
“Install the CLI from PyPI in your Python environment.”
“View on PyPI”
What it works with
Integrates with Claude Code, Codex and OpenClaw. Names ClawHub, GitHub and 2 more on its pages.
- Integrates with: Claude Code · Codex · OpenClaw
- Names: ClawHub · GitHub · PyPI · +1
“Critiqor observes AI agent runtime across Codex, Claude Code, OpenClaw, and custom CLI workflows”
“ClawHub critiqor-openclaw plugin”
What it offers as proof
Live, no waitlist. Claims “7+”. Publishes docs.
- Number claimed: 7+
“7+ evidence types”
“Policy checks Use Critiqor in deployment review by defining reliability threshol -> https://critiqor-71f5274a.mintlify.site/guides/policy-checks”
Sources
Tablif read these pages, last on 5 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.
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