# Cafe Fig: Agent-Direct Score A (92.3%)

Site: http://www.cafefig.com/
Report: https://directindex.org/r/cafefig.com
Scanned: 2026-10-23 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Cafe Fig is ready for agents.
An AI assistant can open Cafe Fig's website. It can read what Cafe Fig offers. It finds a way to book or order directly, through Tripleseat.

## Direct links
- Book directly: https://hotelfigueroa.tripleseat.com/party_request/4897 (through tripleseat acting for the business)
- Order directly: https://www.cafefig.com/online-ordering/ (on the business's own site)
- Menu: https://www.cafefig.com/menus/
- Phone: 2136603006
- Address: 939 S Figueroa St Unit 300, 90015, Los Angeles
- Its menu mentions: vegan options, vegetarian dishes, a children's menu

## Nearby, also direct
Places near Cafe Fig that take a booking or an order on their own website, with no marketplace in between.
- Veranda Al Fresco (50 m): https://directindex.org/r/hotelfigueroa.com
- Sparrow Italia Los Angeles (50 m): https://directindex.org/r/sparrowitalia.com
- Bachi Yaki (80 m): https://directindex.org/r/bachiyaki.com
- Rosa Mexicano (120 m): https://directindex.org/r/rosamexicano.com
- Fixins Soul Kitchen (130 m): https://directindex.org/r/fixinssoulkitchen.com

## What to fix first
- **Structured data is incomplete.** (+5 points) Missing: 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

## 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": "FoodEstablishment",
  "name": "Cafe Fig",
  "url": "http://www.cafefig.com/",
  "telephone": "2136603006",
  "address": "939 S Figueroa St Unit 300, 90015, Los Angeles",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 34.0452917,
    "longitude": -118.2636705
  },
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://hotelfigueroa.tripleseat.com/party_request/4897",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    },
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.cafefig.com/online-ordering/",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>
```

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

```
# Cafe Fig

> food establishment in 939 S Figueroa St Unit 300, 90015, Los Angeles, Los Angeles. Phone 2136603006.

## Book or order directly

- Book: https://hotelfigueroa.tripleseat.com/party_request/4897 (through tripleseat acting for the business)
- Order: https://www.cafefig.com/online-ordering/ (on the business's own site)
- Menu: https://www.cafefig.com/menus/

## About

- Website: http://www.cafefig.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 (FoodEstablishment).** address
- **Menu or price list is an HTML page.** Agents can read the items and prices.
- **Booking through tripleseat on your own domain.** There's no marketplace commission, and the customer stays yours.
- **Ordering on your own site.** Agents can order without going through a marketplace.

## Where it stands
Not ranked yet in Los Angeles.

| 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 | 97% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 98% | yes |
| Structured data with address, phone and hours | 44% | no |
| Have an llms.txt | 21% | no |

Nearest places in the index: Mr. Masala (F, 26 m, https://directindex.org/r/mrmasalala.com); Veranda Al Fresco (A, 46 m, https://directindex.org/r/hotelfigueroa.com); Sparrow Italia Los Angeles (B, 46 m, https://directindex.org/r/sparrowitalia.com); Bachi Yaki (B, 75 m, https://directindex.org/r/bachiyaki.com); Rosa Mexicano (B, 124 m, https://directindex.org/r/rosamexicano.com); Magnolia Downtown (F, 128 m, https://directindex.org/r/magnoliabmx.com); Fixins Soul Kitchen (B, 131 m, https://directindex.org/r/fixinssoulkitchen.com); Strada Eateria & Bar (F, 148 m, https://directindex.org/r/stradadtla.com); Lazy Dog Restaurant and Bar (A, 158 m, https://directindex.org/r/lazydogrestaurants.com); Trader Vic's (F, 158 m, https://directindex.org/r/tradervicsla.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 and named 95 places. Cafe Fig wasn't one of them. See who was named: https://directindex.org/city/los-angeles/recommended


Compared with its peers: Sites built with BentoBox 84% (94% A or B, 1285 sites); This site 92.3%.

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

## Businesses like Cafe Fig in Los Angeles

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Los Angeles | 894 | 53% | 38% | 92.3% |
| Sites built with BentoBox in Los Angeles | 83 | 85% | 95% | 92.3% |
| Sites using Tripleseat in Los Angeles | 32 | 80% | 78% | 92.3% |
| Sites built with BentoBox and using Tripleseat in Los Angeles | 7 | 90% | 100% | 92.3% |

The best of the sites built with BentoBox and using Tripleseat in Los Angeles: Lucky Mizu (A 92.3%, https://directindex.org/r/luckymizudtla.com); Maison Kasai (A 92.3%, https://directindex.org/r/maisonkasaidtla.com); Qué Bárbaro (A 92.3%, https://directindex.org/r/quebarbarodtla.com); The Brown Sheep (A 92.3%, https://directindex.org/r/brownsheepdtla.com); Mother of Pearl (A 87.7%, https://directindex.org/r/motherofpearldtla.com).

With the fix above (Structured data is incomplete), the score would be about 100%, which would be first of 894 in Los Angeles.

## The direct record
What agents get for Cafe Fig, as JSON: https://directindex.org/api/direct/cafefig.com
- Book: https://hotelfigueroa.tripleseat.com/party_request/4897 (vendor on own site: Tripleseat; found by the scan of 2026-10-23, not yet tested)
- Order: https://www.cafefig.com/online-ordering/ (own site; found by the scan of 2026-10-23, not yet tested)
- Menu: https://www.cafefig.com/menus/ (html_page; from the scan)
- Hours: none on record
- Phone: 2136603006
- Stable links that count: https://directindex.org/go/cafefig.com/book, https://directindex.org/go/cafefig.com/order, https://directindex.org/go/cafefig.com/menu

## 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

Found one hop past the home page: menu page /menus/: menu schema.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 20 | 25 |
| Actionable | 15 | 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/cafefig.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: no (how: https://isitagentready.com/.well-known/agent-skills/ai-rules/SKILL.md)
- 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/cafefig.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/cafefig.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=cafefig.com&force=1