org.directindex/scanner · v0.3.0 · agents-and-memory
org.directindex/scanner is healthy: it completed an MCP handshake in 858 ms and exposes 18 tools.
AI-agent readiness of business websites: scans, city indexes, assistants' answers, direct links.
Endpoint: https://directindex.org/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 18 |
| Latency | 858 ms |
| Last checked (UTC) | 2026-10-15T13:05:08.143Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T13:05:08.143Z | Healthy | 858 |
scan_website | Scan a business website and return its Agent-Direct Score (0 to 100), grade, findings and fixes. Reuses a scan under 24 hours old; otherwise runs one, which takes 10 to 40 seconds. |
get_site_report | Return the latest Agent-Direct report for a domain that has already been scanned, including findings, fixes and agent-discoverability checks. |
city_leaderboard | Businesses in a city index ranked by Agent-Direct Score, with grade, menu format, direct channel and whether AI crawlers are blocked. |
find_direct_places | Places in a city that take a booking or an order on their own website, best Agent-Direct Scores first, with the direct booking or ordering link for each (the owner's corrected link where the business is claimed), the vendor behind it, verified_at when a browser reached the step before confirming, th |
list_cities | List the city indexes that exist, with counts and status. |
order_deep_report | Order the paid deep report (19 EUR, one-off) for a business in a city index: ChatGPT, Claude and Gemini are asked ten questions about it the way people ask, every answer is kept in full with where it sent people, plus the nearest similar places, the fix plan with the kit to paste, what an agent read |
get_deep_report | Status of a deep report order by its token, and the finished report itself as Markdown once it is done (every answer in full, the table of where answers sent people, the nearest similar places, the fix plan and the kit). |
what_assistants_say | What ChatGPT, Claude and Gemini answer about one business: the latest verdict per question (official website, where to book, where to order: own site, vendor, marketplace, directory, no link), the answers quoted, the questions people ask for which the business was named, and one sentence on why an a |
assistant_recommendations | The places ChatGPT, Claude and Gemini name in a city when asked the way people ask ('best pizza delivered right now', 'book me a table for Saturday'): per question, the places named, which assistant named each, whether with a link to the place's own site, and the direct booking or ordering link wher |
assistant_destinations | Where the assistants send people in a city: the league table of destinations (the businesses' own sites, each marketplace and directory by name, press and guides, other sites) with the share of answers that link each one, per assistant and overall, and the headline shares (direct, marketplace, the t |
compare_cities | Two city indexes side by side: business websites scanned, the share that take a booking or an order on their own site, the share that turn an AI crawler away, the share scoring A or B, grades, menus, channels, builders, vendors, the assistants' direct share where probed, and the month-by-month numbe |
country_summary | A country's indexes added together (ISO code, for example PT or DE): sites scanned, direct share, crawler-blocked share, A-or-B share, the cities with their numbers, the kinds, the vendors common in the country. Without a code: every country with an index. Pages: https://directindex.org/country/{cod |
rankings | Every city index of a kind ranked on three measures with its sample size and date: direct share (a booking or ordering path on the business's own domain), crawler-open share (not turned away at the edge) and A-or-B share. Indexes with fewer than 100 scanned sites are listed unranked. Page: https://d |
search_places | Find businesses in the city indexes by name or domain, filtered by city, kind, grade, builder, booking or ordering vendor and finding (for example menu_pdf, edge_blocks, no_structured, booking_marketplace). Fifty results a page, best Agent-Direct Scores first, each with its report link. Free, no con |
direct_record | The direct record of a business: the booking, ordering and menu links an agent should use instead of a marketplace, where each leads (the business's own site or a named vendor), whether and when a browser verified it, the hours (OpenStreetMap form and schema.org, with open_now), phone, address, the |
vendor_report | A booking or ordering vendor across the index: software on the vendor's domain or a marketplace, booking or ordering, how many sites use it, their average score and A or B share, how the browser action test went on them, the cities, example sites, and the vendor's terms for agents when a note exists |
city_changes | What changed in a city index over the last days: findings fixed or new, grades up or down, AI crawlers turned away or let in, direct booking or ordering channels and vendors gained or lost, and assistants that changed their answer about a business. Each change links the business's report. Also a pag |
vendor_terms | Whether a booking or ordering vendor's terms let an AI agent book or order through it: allowed, partners only, banned, or not stated; with the vendor's own page and the date the terms were read. Without a vendor: every researched vendor. Use it before sending a person to book or order through a vend |