Is your site agent-ready?
AI agents are starting to browse, read, authenticate, and buy on the web on a person's behalf. The agent-readiness scanner at poneva.com/agent-ready checks how ready your site is for them: paste a URL and get a 0–100 score and a 0–5 level, with a per-check breakdown and a copy-paste fix for anything that fails. It's free, needs no account, and runs in a few seconds.
The 0–100 score
The headline number is the share of applicable checks your site passes, shown as
a gauge from 0 to 100. Each of the four scored categories — Discoverability,
Content, Bot Access Control, and API/Auth/MCP/Skill Discovery — also gets its own
0–100 sub-score and a pass fraction (e.g. 1/4). Commerce checks run but are
shown separately and don't count toward the score. The level below the gauge
is a coarser milestone view of the same result.
The 0–5 ladder
Your level is the highest rung whose checks all pass — the ladder is strictly sequential, so you climb it one rung at a time.
| Level | Name | What it means |
|---|---|---|
| 1 | Basic Web Presence | A valid robots.txt and a sitemap |
| 2 | Bot-Aware | You declare AI usage preferences with Content Signals |
| 3 | Agent-Readable | You serve a Markdown representation for agents |
| 4 | Agent-Integrated | You expose an MCP Server Card, API catalog, Agent Skills and WebMCP |
| 5 | Agent-Native | You publish auth metadata and an A2A Agent Card |
What we check
~20 checks across five categories. Each returns pass, fail, or "not applicable", with the exact HTTP request and response we saw — so nothing is a black box:
- Discoverability —
robots.txt, sitemap,Linkresponse headers, and DNS for AI Discovery (DNS-AID). - Content accessibility — Markdown for agents (
Accept: text/markdown). - Bot access control — AI bot rules in
robots.txt, Content Signals, and Web Bot Auth. - API, auth & MCP — API Catalog, OAuth discovery, OAuth Protected Resource,
auth.md, MCP Server Card, A2A Agent Card, Agent Skills, and WebMCP. - Commerce — the agentic-commerce standards (x402, MPP, UCP, ACP, AP2). These run for every store but don't yet change the level.
Open the Customize scan panel to narrow the run to a site type (content site or API/application) or an exact set of checks.
Fixing what fails
Expand any failing check to see its Goal, the exact Issue we found, a
step-by-step How to implement, and Resources — the relevant specs (RFCs,
drafts) plus a Skill. Click the Skill to open a full implementation guide
(SKILL.md) in a popup you can copy and hand to a coding agent. Copy prompt
grabs the fix for one check; Improve the score grabs one combined prompt for
everything that's failing. Audit details shows the exact HTTP request and
response behind the verdict.
The skills are also published at
https://poneva.com/.well-known/agent-skills/ so agents can discover and install
them directly.
Use it from your own tools
The scanner is an API and an MCP tool, so an agent can scan and reason over the result directly.
Call it over HTTP:
POST https://poneva.com/api/agent-ready/scan
Content-Type: application/json
{ "url": "https://example.com" }Add "format": "agent" to get the combined fix prompt as plain markdown instead
of JSON.
Or call the scan_site tool on the poneva MCP server — see
Agents & MCP for how to connect.