huggingface.co

agent readiness score · scanned Aug 17, 2026 · 6s · AI & ML

#196 of 979 · #37 in category

63/ 100C

Hugging Face is an AI community platform where machine learning practitioners can collaborate on, discover, and build with models, datasets, and applications, offering both free community resources and paid enterprise solutions.

badge

Discovery 17.5/20

Access 15.6/30

Usability 20.3/40

Payments 10/10

Top fixes

  1. MCP server discovery

    Publish /.well-known/mcp/server-card.json describing your MCP endpoint so agents can autodiscover it. Evidence found: none.

    +5.6
  2. JSON-LD structured data

    Embed Organization + WebSite JSON-LD on your homepage (name, url, logo, sameAs) and Product/Offer JSON-LD on pricing.

    +4.6
  3. llms.txt

    Add /llms.txt: an H1 with your name, a one-line blockquote summary, and H2 sections of curated links to docs, pricing, and API.

    +4.6
  4. Markdown content negotiation

    Serve text/markdown when clients send `Accept: text/markdown` (or expose .md twins of key pages) — agents get far more signal per token.

    +3.5
  5. agents.md

    Add /agents.md: what agents may do on your site, key URLs, auth, rate limits, and who to contact.

    +3.3
  6. OpenAPI spec discoverable

    Expose your OpenAPI spec unauthenticated at /openapi.json; agents cannot integrate against a spec they cannot read.

    +2.8

1.Can an agent discover and trust you?

6/8

Whether agents can crawl you, find you in the registries and searches they check, and trust what they find.

  • Sitemap present & freshrequired2/4

    Sitemap at https://huggingface.co/sitemap.xml is valid XML with 10 entries but contains no <lastmod> dates

    fix → Publish /sitemap.xml, reference it from robots.txt, and include <lastmod> dates so agents can tell what's current. Freshest lastmod seen: none.

    Resolved the sitemap from robots.txt or /sitemap.xml, validated XML, and checked lastmod freshness

    spec ↗
  • Brand search discoverabilityrequired4/4

    Both searches ("Hugging Face" and "Hugging Face ai ml") cited huggingface.co: https://huggingface.co/search, https://huggingface.co/docs/hub/search, https://huggingface.co/docs/huggingface_hub/quick-start, https://huggingface.co/docs/huggingface_hub/package_reference/hf_uris, https://huggingface.co/blog/open-deep-research

    Ran clean brand-name web searches and checked whether your domain is cited in the results

  • MCP registry listingsrecommendedna

    No MCP server detected for this product

    Queried the official MCP registry, Smithery, Glama, and PulseMCP for servers matching your domain

    spec ↗

2.Do you welcome agents?

7/12

Whether your robots policy, bot protection, and agent guidance actively admit AI agents instead of blocking them.

  • robots.txt present & parseablerequired2/2

    /robots.txt parses: 1 User-agent group(s), 1 Sitemap line(s)

    Fetched /robots.txt and validated it parses as a robots policy

    spec ↗
  • AI crawler policyrequired5/5

    All 12 AI crawler user-agents (GPTBot, ClaudeBot, PerplexityBot, …) are allowed at / by robots.txt

    Evaluated robots.txt groups for the major AI agent user-agents (GPTBot, ClaudeBot, PerplexityBot, …)

  • Content Signals directivesemerging0/2

    No Content-Signal lines in robots.txt

    fix → Declare Content Signals in robots.txt (e.g. `Content-Signal: search=yes, ai-train=no`) to express AI usage preferences machine-readably.

    Looked for Content-Signal lines in robots.txt

    spec ↗
  • !Agent user-agent paritybetarequirederror

    Browser UA received HTTP 200 with bot-challenge markers — cannot evaluate parity (the site may be blocking our scanner)

    Compared responses served to browser and AI-agent user-agents (informational while in beta)

  • agents.mdrecommended0/3

    No agents.md: https://huggingface.co/agents.md → HTTP 404, https://huggingface.co/AGENTS.md → HTTP 404

    fix → Add /agents.md: what agents may do on your site, key URLs, auth, rate limits, and who to contact.

    Fetched /agents.md and checked for substantive agent guidance

    spec ↗

3.Does an agent understand who you are and what you do?

5/18

Whether your pages carry machine-readable identity: structured data, llms.txt, clear copy an agent can quote.

  • Homepage states what you arerequired3/3

    Homepage clarity rated 5/5 — an agent can confidently say what this company does (model's one-sentence read: "Hugging Face is an AI community platform where machine learning practitioners can collaborate on, discover, and build with models, datasets, and applications, offering both free community resources and paid enterprise solutions.")

    An LLM read your homepage as an agent would and rated how confidently it could say what you do

  • OpenGraph / social metadatarecommended2/2

    Homepage has og:title, og:description, and og:image (twitter:card="summary_large_image" present)

    Parsed homepage og:title / og:description / og:image and twitter:card meta tags

    spec ↗
  • llms.txtrecommended0/4

    GET /llms.txt returned HTTP 404

    fix → Add /llms.txt: an H1 with your name, a one-line blockquote summary, and H2 sections of curated links to docs, pricing, and API.

    Fetched /llms.txt and validated it against the llmstxt.org shape (H1, summary, curated links)

    spec ↗
  • llms-full.txtbonusrecommended0/2

    GET /llms-full.txt returned HTTP 404

    fix → Add /llms-full.txt with expanded inline docs content so agents can load everything in one fetch.

    Fetched /llms-full.txt and checked for substantial inline markdown content

    spec ↗
  • JSON-LD structured datarequired0/4

    No application/ld+json blocks found on homepage and pricing page

    fix → Embed Organization + WebSite JSON-LD on your homepage (name, url, logo, sameAs) and Product/Offer JSON-LD on pricing.

    Extracted and validated application/ld+json blocks on the homepage and pricing page

    spec ↗
  • Markdown content negotiationrecommended0/3

    GET / with `Accept: text/markdown` returned HTTP 200 text/html; no .md twins found (2 probed)

    fix → Serve text/markdown when clients send `Accept: text/markdown` (or expose .md twins of key pages) — agents get far more signal per token.

    Requested key pages with Accept: text/markdown and probed .md twin URLs

4.Can an agent integrate with you?

watch →11.5/21

Whether the artifacts an agent needs to build on you — docs, API specs, SDKs, MCP servers — exist and are findable.

  • Developer resource discoverabilityrecommended3/3

    Search "Hugging Face API documentation" cited your own domain: https://huggingface.co/docs/hub/api, https://huggingface.co/docs/huggingface_hub/en/package_reference/hf_api, https://huggingface.co/docs/inference-providers/main/en/index, https://huggingface.co/docs/hub/main/index, https://huggingface.co/docs/huggingface.js/en/hub/README

    Searched for your brand with developer-keyword suffixes and checked which official resources are cited

  • OpenAPI spec discoverablerequired2.5/5

    An OpenAPI spec URL was referenced but returned HTTP 401/403 — not fetchable without authentication

    fix → Expose your OpenAPI spec unauthenticated at /openapi.json; agents cannot integrate against a spec they cannot read.

    Probed standard OpenAPI locations and docs links for a fetchable, parseable spec

    spec ↗
  • Docs discoverablerequired4/4

    Docs found at https://huggingface.co/docs (via homepage link, 3443 chars of readable text)

    Followed homepage nav/footer links and probed /docs, /developers, docs.{domain}

  • MCP server discoveryrequired0/5

    No MCP evidence found: probed /.well-known/mcp/server-card.json, /.well-known/mcp.json, /mcp.json and scanned llms.txt, agents.md, and docs for endpoints or install commands

    fix → Publish /.well-known/mcp/server-card.json describing your MCP endpoint so agents can autodiscover it. Evidence found: none.

    Probed /.well-known/mcp/server-card.json, mcp.json, and docs mentions for an MCP endpoint

    spec ↗
  • npm SDKrecommended1/2

    Official npm package "huggingface" (verified via README mentions the domain) but latest 1.4.0 is stale — published 2023-02-17, over 18 months ago

    fix → Publish a fresh release of "huggingface" — agents treat SDKs untouched for 18+ months as abandoned.

    Searched the npm registry for an official, domain-verified SDK package

  • PyPI SDKrecommended1/2

    Official PyPI package "huggingface" (verified via repository under the huggingface GitHub org (https://github.com/huggingface/huggingface/tags)) but latest 0.0.1 is stale — published 2020-12-18, over 18 months ago

    fix → Publish a fresh release of "huggingface" — agents treat SDKs untouched for 18+ months as abandoned.

    Searched PyPI for an official, domain-verified SDK package

5.Is your integration well-built?

watch →1.8/5

Whether your specs, docs, and tools are complete and descriptive enough for an agent to use them without guessing.

  • OpenAPI validity & qualityrecommendedna

    No OpenAPI spec found — nothing to lint

    Linted the spec: descriptions, operationIds, securitySchemes, servers

  • Docs qualityrecommended1.8/3

    Docs at https://huggingface.co/docs scored clarity 4/5, completeness 3/5, runnable examples 2/5, agent-friendliness 3/5 (mean 3.0/5)

    fix → Docs scored 2/5 on runnable examples. The documentation provides a high-level overview of various tools and libraries but lacks specific, actionable examples for an agent to directly integrate or use these components without further exploration.

    An LLM rated your docs for clarity, completeness, runnable examples, and agent-friendliness

  • Quickstart / getting startedrecommended0/2

    No quickstart/getting-started link or heading found on docs page https://huggingface.co/docs (searched 87 links)

    fix → Add a copy-pasteable quickstart (auth → first API call) — agents follow it literally.

    Looked for a quickstart/getting-started guide containing code blocks

  • MCP tool qualityrecommendedna

    No MCP endpoint known — tool lint requires a tools/list

    Linted listed tools for descriptions, typed input schemas, and naming

6.Can an agent use you reliably in production?

watch →4/4

Response hygiene, TLS and redirect discipline, and security contact channels agents depend on at runtime.

  • TLS & redirect hygienerequired2/2

    http://huggingface.co/ upgrades to https in 1 hop(s), 1 redirect(s) total, final HTTP 200; no HSTS header

    Checked http→https redirect behavior, chain length, and TLS health

  • Response speed & weightrequired1/1

    Homepage TTFB 19ms, payload 176KB, Content-Encoding: gzip

    Measured homepage TTFB, payload size, and compression

  • security.txtrecommended1/1

    Valid security.txt at https://huggingface.co/.well-known/security.txt: Contact security@huggingface.co, Expires 2030-07-01

    Fetched /.well-known/security.txt and validated Contact + Expires

    spec ↗

7.Can an agent authenticate to you?

watch →6/7

Whether agents can discover your auth model machine-readably (OAuth metadata) and follow documented steps to credentials.

  • OAuth authorization server metadatarecommended3/3

    Valid RFC 8414 metadata at https://huggingface.co/.well-known/oauth-authorization-server: issuer https://huggingface.co, PKCE S256, dynamic client registration at https://huggingface.co/oauth/register

    Fetched /.well-known/oauth-authorization-server (and openid-configuration fallback)

    spec ↗
  • OAuth protected resource metadatarecommended2/2

    Valid RFC 9728 metadata at https://huggingface.co/.well-known/oauth-protected-resource: resource https://huggingface.co/mcp, 1 authorization server(s) (https://huggingface.co)

    Fetched /.well-known/oauth-protected-resource

    spec ↗
  • Auth documentationrecommended1/2

    Auth page https://huggingface.co/docs/tokenizers exists but contains no code examples

    fix → Add a runnable example (key creation → header format → example call) to your auth docs — agents follow it literally.

    Looked for /auth.md or an authentication docs page with code examples

8.Can an agent transact with you?

watch →10/15

Whether pricing is discoverable and machine-readable, and whether you support agent payment protocols.

  • Pricing discoverablerequired5/5

    Pricing page found at https://huggingface.co/pricing (via homepage link) with legible price signals ("$9 /month Get Pro 10× private").

    Followed nav/footer links and probed /pricing for a page with legible price signals

  • Machine-readable pricingrecommended5/5

    LLM extracted 3 numerically-priced plan(s) from https://huggingface.co/pricing at confidence 1.00: PRO Account $ 9/month; Team $ 20/month per user; Enterprise $ 50/month per user.

    Looked for Offer JSON-LD, then had an LLM attempt structured extraction of your plans

    spec ↗
  • x402 payment supportbonusrecommended0/2

    /.well-known/x402 returned HTTP 401. No x402 support detected (bonus check — absence costs nothing).

    fix → Support x402: serve payment requirements at /.well-known/x402, or answer unauthenticated API calls with HTTP 402 plus an x402 payment-requirements payload (x402Version, accepts[]).

    Probed /.well-known/x402 and API endpoints for HTTP 402 payment-required envelopes

    spec ↗
  • AP2 readinessemerging0/1

    No AP2 hints found — scanned docs page (https://huggingface.co/docs); /.well-known/ap2 returned HTTP 401.

    fix → Adopt AP2 to accept delegated agent payments — see https://ap2-protocol.org.

    Scanned fetched artifacts and well-known paths for AP2 hints

    spec ↗
  • Agentic Commerce Protocolemerging0/1

    No Agentic Commerce Protocol hints found — scanned docs page (https://huggingface.co/docs); /.well-known/acp returned HTTP 401.

    fix → Adopt the Agentic Commerce Protocol so agent checkouts can complete against your store — see https://developers.openai.com/commerce.

    Scanned docs and specs for agentic checkout endpoints

    spec ↗
  • Other agent payment protocolsbonusemerging0/1

    No UCP/MPP hints found — scanned docs page (https://huggingface.co/docs).

    fix → Track emerging agent payment protocols (UCP, MPP) and adopt the ones your buyers' agents use.

    Scanned fetched artifacts for UCP/MPP protocol hints

9.Can a user act through an agent?

Whether an end user's agent can operate on their behalf: working MCP tools, published skills, agent configs.

  • Agent skill publishedbonusemergingna

    Requires the analysis phase — not yet evaluated

    Checked /skill.md, /.well-known/skills/, and skills.sh for published agent skills

  • MCP handshake & tools listrequiredna

    No MCP endpoint known — nothing to handshake with

    Performed a streamable-HTTP initialize + tools/list against the MCP endpoint

    spec ↗
  • Agent configs in public repobonusemergingna

    Requires the analysis phase — not yet evaluated

    Checked your public GitHub org's main repos for AGENTS.md / .claude / .cursor configs

10.Can an agent operate your website directly?

4.5/9

Whether the site itself is legible to non-rendering and browser agents: semantic HTML, no JS walls, accessibility.

  • NLWeb endpointemerging0/1

    No NLWeb endpoint detected: /.well-known/nlweb.json returned HTTP 401 (text/html); GET /ask?query=hello returned HTTP 200 (text/html)

    fix → Consider exposing an NLWeb /ask endpoint (and /.well-known/nlweb.json) for conversational access to your content.

    Probed /.well-known/nlweb.json and the /ask endpoint

    spec ↗
  • Semantic HTML structurerequired1.5/3

    4/6 semantic signals present on the homepage (missing: no heading-level skips, text-to-markup ratio ≥ 0.10)

    fix → Add the missing structure: no heading-level skips, text-to-markup ratio ≥ 0.10. Agents parse structure, not pixels.

    Scored landmark elements, heading hierarchy, and text-to-markup ratio on the homepage

  • Content readable without JavaScriptrequired2/2

    Homepage raw HTML contains 4411 chars of visible text without JavaScript

    Measured visible text in the raw, unrendered homepage HTML

  • Accessibility basicsrequired1/2

    Homepage accessibility: 3/5 checks passed — failing: <html lang> attribute; labeled inputs (1/1 unlabeled)

    fix → Failing: <html lang> attribute; labeled inputs (1/1 unlabeled). The accessibility tree is what browser-operating agents see.

    Static checks: lang attribute, title, alt coverage, labeled inputs, landmarks

  • WebMCPemerging0/1

    No WebMCP evidence on homepage: no application/webmcp script and no navigator.modelContext reference

    fix → Consider WebMCP to expose page actions as tools to browser agents.

    Looked for WebMCP script declarations on the homepage

    spec ↗