AI Agent Readiness Testing for Websites
Whether you ship the site or you ship the agent, Scovant measures both with one R2 methodology at different evidence levels — Technical Readiness from the open passive checks, Estimated Agent Readiness from passive evidence, Verified Agent Readiness from a real agent run.
Scovant is an AI agent readiness testing platform for websites. It evaluates crawler access, structured data, semantic usability, browser interaction, agent-facing interfaces, and real task completion. Teams can run scans through the web application, API, MCP, or as part of CI/CD.
Your site was built for people.
AI agents are showing up anyway.
Three things, in order.
Scan.
Crawl the site, parse structured data, evaluate 65 compatibility rules across 7 categories including Universal Commerce Protocol. The same versioned rule set every time — a scoring-model change is flagged on your trend, never mistaken for a site change.
Simulate.
Drive a real browser through your buy / search / signup flows. An agent attempts what a human would. Where it breaks, you see why.
Monitor.
Hook up your deploy webhook. Every release is scanned. The second a regression appears, your team hears about it.
One scale your whole team understands.
Out of 100, weighted across up to seven categories — UCP and Citability count only where they apply. Every scan recomputes from scratch — no decay, no recency bias, no magic. Scores stay comparable across time; when the scoring model changes, your trend says so.
Catch regressions before you ship.
Set a baseline. Wire up your deploy webhook. Every commit runs a full Scovant pass; we compare to baseline and ping the team on score drops and on breaking or security-relevant interface changes. Same way you catch broken tests — but for compatibility.
Ship the fixes, not just the findings.
One credit turns your latest scan into a remediation plan: every issue, severity-ordered, with a concrete fix — enriched for your specific stack. It's plain Markdown with a shareable URL. Read it, hand it to your team, or pipe it straight into a coding agent and let it apply the fixes.
Pay only for what you simulate.
Four credit packs, from $9 to $99. Every scan, simulation, and fix plan costs 1 credit — start with 3 welcome credits on the free plan.