Agnost AI vs Replay QA: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Agnost AI and Replay QA — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Agnost AI

Agnost Tech Inc

Freemium

Product analytics for conversational agents that surfaces silent failures, user frustration and policy violations across every conversation.

Silent Failure Detection: Reads each trace next to the conversation to catch cases where the run reported success but the user got nothing useful, including broken promises and confidently wrong answers.
Automatic Conversation Clustering: Turns thousands of chats into ranked recurring problems, ordered by user impact and ready to investigate rather than left as raw logs.
Frustration and Churn Signals: Pinpoints where users rage-prompt, get stuck or abandon the conversation, so churn drivers are visible before the user leaves.
Policy and Quality Violation Alerts: Flags hallucinations and quality, policy and compliance breaches with the exact conversation and trace behind each one.
Evidence-Backed Fix Recommendations: Hands over the highest-impact fixes with supporting evidence, a recommended change and the evals needed to ship it safely.
Two-Step Skill Install: Connects to an existing agent by installing an agent skill and running one prompt, with no rebuild of the agent and no separate implementation project.
Feature Request Mining: Surfaces what users repeatedly ask for across conversations, turning support volume into a prioritised roadmap signal.
Live Demo Without Signup: Ships a public interactive demo where you can click any insight and inspect the underlying conversations before creating an account.

Diagnosing Agent Churn: Finding the recurring conversation pattern that makes users abandon a support agent, with the specific chats as evidence.
Auditing Production Agents for Compliance: Reviewing conversations for policy violations and unsupported claims across real traffic rather than a hand-picked sample.
Prioritising Agent Improvements: Deciding which prompt or flow to fix next based on how many users hit each failure cluster instead of on anecdote.
Catching Regressions After a Prompt Change: Watching whether a newly shipped change increases silent failures or user frustration in live conversations.
Building Evals from Real Failures: Turning observed production failures into regression evals so the same bug does not ship twice.
Mining Conversations for Roadmap Input: Extracting repeated feature requests from support and sales chats to feed product planning.

Replay

Freemium

Autonomous QA agent for AI-built web apps — connect a GitHub repo or drop in a URL and get real bugs with root cause and a fix.

Autonomous URL Testing: Paste any web-app URL and Replay QA explores the app, writes its own Playwright tests, and files bug reports in minutes with no setup.
GitHub Continuous Mode: Connects to a repo and runs on every PR or main-branch update as a persistent quality gate — no test suite to write, no pipeline to configure.
PR-native Bug Reports: Root cause and suggested fix are posted directly on the pull request so coding agents and humans can act immediately.
Session Recording & Time-Travel Debugging: Every run is captured with the Replay recording engine used by Vercel, Glide, and Pantheon, so failures are reproducible with a click.
Localhost via Reverse Proxy: Test against a local dev server without deploying, ideal for internal builders and agencies.
Replay for CI: Works alongside existing Playwright or Cypress suites — records every test run, analyzes failures, and posts root cause on the PR.
Replay QA API: Embed the same quality gate into AI coding platforms or 'software factories' so every generated app is tested before it ships.

Vibecoding QA: Solo founders shipping AI-generated web apps get a real bug report without writing a single test.
PR Quality Gate for Engineering Teams: Small teams add a GitHub app that gates every PR with autonomous exploration and posts fixes back to the PR.
Internal Tool Coverage: Ops teams add QA to internal tools that would otherwise be deployed with no test coverage at all.
Playwright/Cypress Debugging: Existing CI suites use Replay for CI to convert flaky failures into recordings with a diagnosed root cause.
AI Coding Platforms: Companies building agentic coding products embed the Replay QA API as an always-on quality gate for generated apps.
Agency Delivery: Agencies drop a client URL into Replay QA before handoff and share the resulting bug report.