# Destroyer: Agent-Direct Score C (55.4%)

Site: https://destroyer.la
Report: https://directindex.org/r/destroyer.la
Scanned: 2026-10-16 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Destroyer is partly visible to agents.
An AI assistant can open Destroyer'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 Toast.
This listing was retired on 2026-10-21 because the source the index uses for its city no longer lists it. The report stays up, but the business is left out of the rankings and counts.

## Direct links
- Order directly: https://www.toasttab.com/destroyer (through toast acting for the business)
- Phone: +1 310 360-3860
- Address: 3578 Hayden Avenue, Culver City, CA 90232
- Hours, from OpenStreetMap: Mon–Sun 08:00–16:00
- Outdoor seating (OpenStreetMap)

## What to fix first
- **No structured data for the business.** (+14 points) Add schema.org JSON-LD for the business (CafeOrCoffeeShop, BarOrPub or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine). Every assistant reads this block first, and the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant
- **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
- **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

## 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": "CafeOrCoffeeShop",
  "name": "Destroyer",
  "url": "https://destroyer.la",
  "telephone": "+1 310 360-3860",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "3578 Hayden Avenue",
    "postalCode": "90232",
    "addressLocality": "Culver City",
    "addressRegion": "CA"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 34.0245954,
    "longitude": -118.3813639
  },
  "openingHours": "Mo-Su 08:00-16:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday",
        "Saturday",
        "Sunday"
      ],
      "opens": "08:00",
      "closes": "16:00"
    }
  ],
  "potentialAction": [
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.toasttab.com/destroyer",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>
```

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

```
# Destroyer

> cafe or coffee shop in 3578 Hayden Avenue, Culver City, CA 90232, Los Angeles cafes and bars. Phone +1 310 360-3860.

## Book or order directly

- Order: https://www.toasttab.com/destroyer (through toast acting for the business)

## Opening hours

Mo-Su 08:00-16:00

## About

- Website: https://destroyer.la
- 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.
- **Ordering through toast on your own domain.** There's no marketplace commission, and the customer stays yours.
- **Toast works with agents through its partners.** Toast's guest terms could not be read on 2026-10-15 (bot challenge); since August 2026 Google's Ask Maps completes orders at Toast restaurants through Toast Local under the UCP for Food standard. Terms read on 2026-10-15: https://www.digitaltransactions.net/square-toast-jump-into-ai-boosted-google-maps/. An assistant that isn't a partner may not be able to finish there. A direct path on your own domain works for all of them.

## Since the scan of 2026-10-14 (C then)
- Fixed: nothing
- New: nothing

## Where it stands
Not ranked yet in Los Angeles cafes and bars.

| What the top 10% of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 99% | yes |
| Publish the menu or price list as HTML | 91% | no |
| Let AI crawlers in (no block at the server or in robots.txt) | 97% | yes |
| Structured data with address, phone and hours | 41% | no |
| Have an llms.txt | 35% | no |

Nearest places in the index: Jackson's Cafe (B, 495 m, https://directindex.org/r/jacksoncafela.com); The Dominion (F, 840 m, https://directindex.org/r/dominionsm.com); Mandrake (F, 1158 m, https://directindex.org/r/mandrakebar.com); mu.sō coffee (B, 1355 m, https://directindex.org/r/musocoffee.com); Stanley's Wet Goods (A, 1374 m, https://directindex.org/r/stanleys.la); Undergrind (D, 1581 m, https://directindex.org/r/undergrindcafe.com); Paradise Bar (B, 1686 m, https://directindex.org/r/paradisebar.net); The Conservatory for Coffee, Tea, and Cocoa (F, 1731 m, https://directindex.org/r/conservatorycoffeeandtea.com); Try My T (F, 1927 m, https://directindex.org/r/trymyt.com); Gloria's Cafe (B, 1998 m, https://directindex.org/r/gloriascafe.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 12 everyday questions about Los Angeles cafes and bars and named 92 places. Destroyer wasn't one of them. See who was named: https://directindex.org/city/los-angeles-cafes-bars/recommended


Score over 2 scans since 2026-10-14: 2026-10-14 55%, 2026-10-16 55%.

Compared with its peers: Sites using Toast 73% (62% A or B, 6746 sites); This site 55.4%.

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

## Businesses like Destroyer in Los Angeles cafes and bars

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Sites using Toast in Los Angeles cafes and bars | 79 | 69% | 53% | 55.4% |

The best of the sites using Toast in Los Angeles cafes and bars: Good Clean Fun (A 100%, https://directindex.org/r/gcfwines.com); Recreation Cafe (A 100%, https://directindex.org/r/recreation.cafe); Eat (A 96.3%, https://directindex.org/r/eatnoho.com); Blue Daisy Melrose (A 95.4%, https://directindex.org/r/bluedaisycafe.com); Tiago Coffee Bar & Kitchen (A 95.4%, https://directindex.org/r/tiagocoffee.com).

## The direct record
What agents get for Destroyer, as JSON: https://directindex.org/api/direct/destroyer.la
- Book: none on record
- Order: https://www.toasttab.com/destroyer (vendor on own site: Toast; found by the scan of 2026-10-16, not yet tested)
- Menu: none on record
- Hours: Mo-Su 08:00-16:00 (open now) (from OpenStreetMap)
- Phone: +1 310 360-3860
- Stable links that count: https://directindex.org/go/destroyer.la/order

## 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 (Toast): yes
- Vendor terms for agents, Toast: Through partners. Toast's guest terms could not be read on 2026-10-15 (bot challenge); since August 2026 Google's Ask Maps completes orders at Toast restaurants through Toast Local under the UCP for Food standard. Read 2026-10-15: https://www.digitaltransactions.net/square-toast-jump-into-ai-boosted-google-maps/

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 1 | 25 |
| Actionable | 10 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 0 of 5, Not Ready. Cloudflare's report: https://isitagentready.com/destroyer.la
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: no (how: https://isitagentready.com/.well-known/agent-skills/sitemap/SKILL.md)
- 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: no

Keep watching this business (https://directindex.org/r/destroyer.la/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/destroyer.la/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=destroyer.la&force=1