netflix.com agentic web readiness

C Manifest validity: 100% (1/1 valid, 0 errors, 4 warnings) · Surface score 20 (coverage 10 + breadth 0 + conformance 10). 1 standard observed across 1 of 9 steps; 1 manifest present (+ security.txt), 0 errors, 4 warnings. Checked 2026-10-25 23:42:40 UTC via www.netflix.com. This grades the agent-facing files published at netflix.com, not the organisation's products.

Badge for a README: ![agentic web grade](https://agenticweb.wiki/badge/netflix.com.svg) · JSON · Markdown · Re-check now

Coverage by step

Manifests

What an agent can call

• robots.txt AI policy: unlisted crawlers blocked

Standards observed

• AI Crawler User-Agent Tokens in robots.txt https://netflix.com/robots.txt

Cheapest next steps

1. llms.txt: one Markdown index file; the most widely read agent-facing file
   Generate starter /llms.txt for netflix.com

   # Netflix
   
   > Netflix and what it offers to agents
   
   Short notes an agent should know before using the site: what it is for, who runs it, how to cite it.
   
   ## Docs
   - [Getting started](https://netflix.com/docs/getting-started): the first page to read
   - [API reference](https://netflix.com/openapi.json): OpenAPI description
   
   ## Optional
   - [Changelog](https://netflix.com/changelog): what changed, newest first
   

2. Agentic Resource Discovery: a catalog at /.well-known/ard.json lets agents discover your APIs, MCP servers and data in one fetch (emerging spec — publish only if you run the underlying endpoints; generate via MCP template({"id": "ard", "domain": "netflix.com"}))
3. AGENTS.md: instructions for coding agents working on or with the site
   Generate starter /AGENTS.md for netflix.com

   # Netflix for agents
   
   Netflix and what it offers to agents
   
   ## Read the data, not the HTML
   - Index: https://netflix.com/llms.txt
   - API description: https://netflix.com/openapi.json
   - Discovery catalog: https://netflix.com/.well-known/ard.json
   
   ## Calling
   - MCP server (Streamable HTTP): https://netflix.com/mcp
   - Rate limits and authentication: describe them here
   
   ## Conventions
   - How to cite or attribute content
   - What not to do (no scraping of /account/, no automated sign-ups, etc.)
   
   Contact: security@netflix.com
   

Agent pre-flight & practical readiness

Preferred mode: exa_or_http_fetch. No structured agent endpoint was found. The page has readable text, so fetch it directly or through a search index.

Fetch: GET https://netflix.com/ No structured agent endpoint was found. Fetch the public page or use a search index.

Practical readability: exa_parsable yes, markdown negotiation no, render ssr_rich, HTML quality high, first content at byte 296135 (~289 KB of head/script markup before main text).

AI crawler posture: search_allowed_training_blocked · Assistant access: OpenAI partial, Anthropic partial, Google partial, Perplexity partial, Exa blocked.

Readiness subscores: reach 12/20, readability 20/30, capabilities 0/35, conformance 10/15, total 42/100, grade C.

How the grade is made

+10 per lifecycle step with a standard observed, counting manifests that validate or that the probe rule for the standard recognises (a valid MCP server card counts for MCP; max 90); +3 per observed standard beyond the first two (max 15); conformance +15 (+10 with one manifest) minus 5 per agent-facing manifest with errors, never below 0 (security.txt is reported, not scored). Lifecycle grade: A+ >= 60, A >= 45, B >= 30, C >= 20, D >= 10. Strict 100-point composite (subscores.total_100 / subscores.grade_100): reach_and_policy (20) + readability (30) + capabilities (35) + conformance (15), where A+ >= 80, A >= 65, B >= 45, C >= 28, D >= 15. Errors are specification violations; warnings are best-practice gaps. Only public paths are fetched, without credentials, so standards that need a login (skipped in the probe) are not counted either way. The same report is the validate_manifest tool on the MCP server.

JSON · Markdown · probe rules