# Tun: Agent-Direct Score C (67.7%)

Site: https://www.tun.com
Report: https://directindex.org/r/tun.com
Scanned: 2026-10-24 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Tun is partly visible to agents.
An AI assistant can open Tun's website. It can't find a menu or price list, so it answers from other sites. It finds a way to book or order directly, through Calendly.

## Direct links
- Book directly: https://calendly.com/tun (through calendly acting for the business)
- Phone: 9173972650
- Address: 64 University Pl, 10003-4504, New York
- Prices: 8 prices on the site, the middle one $10.00

## Nearby, also direct
Places near Tun that take a booking or an order on their own website, with no marketplace in between.
- Next Door by Wegmans (390 m): https://directindex.org/r/wegmansnextdoor.com
- Moody Tongue Sushi (630 m): https://directindex.org/r/moodytongue.com

## What to fix first
- **No menu or price list found.** (+7 points) Agents answer 'what do they offer?' from marketplaces instead. Add a page with the menu or price list and link to it from the homepage. Guide: https://directindex.org/guides/menu-pdf-ai
- **Structured data is incomplete.** (+6 points) Missing: address, telephone, opening hours. Guide: https://directindex.org/guides/structured-data-restaurant
- **No llms.txt.** (no points, but worth doing) Optional for now and cheap to add. It's a short text file that describes the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business

## What the site tells visitors (Measured, not scored)
- **8 prices on the landing page, the middle one $10.00.** In New York, the middle price of comparable sites that show prices is $14.00.

## Fix kit: What to paste

Structured data (JSON-LD). Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong.

```html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Tun",
  "url": "https://www.tun.com",
  "telephone": "9173972650",
  "address": "64 University Pl, 10003-4504, New York",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 40.733108,
    "longitude": -73.993909
  },
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://calendly.com/tun",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    }
  ]
}
</script>
```

llms.txt. Save as /llms.txt at the root of the site.

```
# Tun

> organization (sushi) in 64 University Pl, 10003-4504, New York, New York. Phone 9173972650.

## Book or order directly

- Book: https://calendly.com/tun (through calendly acting for the business)

## About

- Website: https://www.tun.com
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
```

## Already right
- **robots.txt lets AI crawlers in.** No rule blocks the main AI user agents.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response.
- **Structured data found (Organization).** no address, phone or hours in it
- **Booking through calendly on your own domain.** There's no marketplace commission, and the customer stays yours.

## Where it stands
4061 of 11000 in New York. Top 37% of the sites scanned in this index.

| What the top 10% of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | yes |
| Publish the menu or price list as HTML | 95% | no |
| Let AI crawlers in (no block at the server or in robots.txt) | 96% | yes |
| Structured data with address, phone and hours | 59% | no |
| Have an llms.txt | 25% | no |

Nearest places with a similar menu: Japonica (F, 113 m, https://directindex.org/r/japonicanyc.com); Kazumi Omakase (D, 337 m, https://directindex.org/r/kazuminy.com); Next Door by Wegmans (A, 391 m, https://directindex.org/r/wegmansnextdoor.com); Sushi by Simon (F, 455 m, https://directindex.org/r/sushibysimon.com); Genki Omakase | Sushi • Japanese (D, 570 m, https://directindex.org/r/genkiomakase.com); Mido Omakase (B, 571 m, https://directindex.org/r/midojapanesegroup.com); Soto (F, 574 m, https://directindex.org/r/sotonyc.com); Mitsuru (D, 575 m, https://directindex.org/r/mitsurunyc.com); Marumi (C, 592 m, https://directindex.org/r/marumi.nyc); Moody Tongue Sushi (A, 630 m, https://directindex.org/r/moodytongue.com).

## What assistants answer
The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included.

The assistants were asked 13 everyday questions about New York and named 69 places. Tun wasn't one of them. See who was named: https://directindex.org/city/new-york/recommended


Compared with its peers: Sites built with WordPress 55% (24% A or B, 217120 sites); Sites using Calendly 62% (32% A or B, 1047 sites); This site 67.7%.

See what an AI agent reads on this site: https://directindex.org/r/tun.com/agent-view

## Businesses like Tun in New York

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in New York | 11000 | 52% | 34% | 67.7% |
| Sites built with WordPress in New York | 1841 | 61% | 37% | 67.7% |
| Sites using Calendly in New York | 14 | 63% | 14% | 67.7% |
| Sites built with WordPress and using Calendly in New York | 2 | 67% | 0% | 67.7% |

The best of the sites using Calendly in New York: Halalbee's (A 95.4%, https://directindex.org/r/halalbeesburgers.com); B&B Italia (B 74.3%, https://directindex.org/r/bebitalia.com); Leo (C 69.2%, https://directindex.org/r/meetleo.com); Pitchkitchen (C 67.7%, https://directindex.org/r/pitchkitchen.com); Kouzina by Trata (C 66.2%, https://directindex.org/r/trata.com).

With the two fixes above (No menu or price list found; Structured data is incomplete), the score would be about 87.7%. That would be 1187th of 11,000 in New York, up from 4061st.

## The direct record
What agents get for Tun, as JSON: https://directindex.org/api/direct/tun.com
- Book: https://calendly.com/tun (vendor on own site: Calendly; found by the scan of 2026-10-24, not yet tested)
- Order: none on record
- Menu: none on record
- Hours: none on record
- Phone: 9173972650
- Stable links that count: https://directindex.org/go/tun.com/book

## Can an agent transact?
Measured, not scored (the score stays at spec v1.0).
- UCP profile (/.well-known/ucp, Google and Shopify's Universal Commerce Protocol): no
- ACP discovery document (/.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol): no
- MCP server card (/.well-known/mcp/server-card.json): no
- Ordering vendor that takes agent orders (Square, Toast, or a vendor whose terms allow agents): no
- Vendor terms for agents, Calendly: Not stated. The terms do not address an agent acting for a person (several bar scraping or data extraction only), could not be read on the date given, or the vendor has not been researched yet.

Found one hop past the home page: contact page /jobs/about/: booking via calendly, phone.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 9 | 25 |
| Actionable | 10 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 1 of 5, Basic Web Presence. Cloudflare's report: https://isitagentready.com/tun.com
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: yes
- AI bot rules in robots.txt: yes
- Content Signals in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/content-signals/SKILL.md)
- Markdown on Accept: text/markdown: no (how: https://isitagentready.com/.well-known/agent-skills/markdown-negotiation/SKILL.md)
- llms.txt: no (how: https://isitagentready.com/.well-known/agent-skills/llms-txt/SKILL.md)
- API catalog (RFC 9727): no (how: https://isitagentready.com/.well-known/agent-skills/api-catalog/SKILL.md)
- MCP server card: no (how: https://isitagentready.com/.well-known/agent-skills/mcp-server-card/SKILL.md)
- A2A agent card: no (how: https://isitagentready.com/.well-known/agent-skills/a2a-agent-card/SKILL.md)
- Agent Skills index: no (how: https://isitagentready.com/.well-known/agent-skills/agent-skills/SKILL.md)
- OAuth or OIDC discovery: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-discovery/SKILL.md)
- OAuth protected resource metadata: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-protected-resource/SKILL.md)
- auth.md: no (how: https://isitagentready.com/.well-known/agent-skills/auth-md/SKILL.md)
- Web Bot Auth key directory: no (how: https://isitagentready.com/.well-known/agent-skills/web-bot-auth/SKILL.md)
- ARD capability manifest: no (how: https://isitagentready.com/.well-known/agent-skills/ard/SKILL.md)
- DNS-AID records: no (how: https://isitagentready.com/.well-known/agent-skills/dns-aid/SKILL.md)
- WebMCP tools on the page: no (how: https://isitagentready.com/.well-known/agent-skills/webmcp/SKILL.md)
- JSON-LD for the business: yes

Keep watching this business (https://directindex.org/r/tun.com/plan): the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/tun.com/deep. Ten questions phrased the way people ask them, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.
Methodology: https://directindex.org/methodology · Rescan now: https://directindex.org/scan?url=tun.com&force=1
