pinecone.io

agent readiness score · scanned Aug 18, 2026 · 8s · AI & ML

#2 of 979 · #1 in category

89/ 100A-

Pinecone is a fully managed vector database designed to build knowledgeable AI applications and agents at scale, offering fast, accurate retrieval and cost-effective performance.

badge

Discovery 20/20

Access 30/30

Usability 29.1/40

Payments 10/10

Top fixes

  1. OAuth authorization server metadata

    Serve RFC 8414 metadata at /.well-known/oauth-authorization-server with PKCE (S256) and a registration_endpoint so agents can self-onboard.

    +2.6
  2. MCP server discovery

    Publish /.well-known/mcp/server-card.json describing your MCP endpoint so agents can autodiscover it. Evidence found: llms.txt.

    +2.2
  3. OAuth protected resource metadata

    Serve RFC 9728 metadata at /.well-known/oauth-protected-resource naming your authorization servers so agents can discover how to authenticate.

    +1.7
  4. npm SDK

    Publish an official npm SDK (suggest @pinecone/sdk) with your domain in package.json homepage so agents can verify it's official.

    +1.7
  5. Auth documentation

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

    +0.9
  6. Docs quality

    Docs scored 3/5 on completeness. The documentation focuses heavily on the Claude Code Plugin and its features, but lacks a clear, comprehensive guide for an AI agent to integrate with the core Pinecone API itself, beyond just using the plugin.

    +0.9

1.Can an agent discover and trust you?

8/8

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

  • Sitemap present & freshrequired4/4

    Sitemap at https://www.pinecone.io/sitemap.xml: 611 entries, freshest <lastmod> 2026-08-14 (3 days ago)

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

    spec ↗
  • Brand search discoverabilityrequired4/4

    Both searches ("Pinecone" and "Pinecone ai ml") cited pinecone.io: https://docs.pinecone.io/guides/assistant/chat-with-assistant, https://www.pinecone.io/learn/pinecone-assistant-citation-highlights/, https://docs.pinecone.io/guides/marketplace/end-user/citations, https://www.pinecone.io/learn/assistant-api-deep-dive/, https://www.pinecone.io/

    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?

14/16

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 paritybetarequired4/4

    All three UAs get HTTP 200; bot bodies are ClaudeBot 100%, GPTBot 100% of the browser response (259129 bytes)

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

  • agents.mdrecommended3/3

    Found https://pinecone.io/agents.md: 1483 chars of markdown with 3 heading(s)

    Fetched /agents.md and checked for substantive agent guidance

    spec ↗

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

16/18

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: "Pinecone is a fully managed vector database designed to build knowledgeable AI applications and agents at scale, offering fast, accurate retrieval and cost-effective performance.")

    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.txtrecommended4/4

    /llms.txt is valid llmstxt.org shape: H1 "Pinecone", 209 markdown link(s)

    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 datarequired4/4

    3 JSON-LD block(s) on homepage and pricing page (types: Organization, WebSite, WebApplication); Organization block is well-formed

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

    spec ↗
  • Markdown content negotiationrecommended3/3

    https://pinecone.io/ returns markdown for `Accept: text/markdown` (content-type text/markdown)

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

4.Can an agent integrate with you?

watch →16.5/21

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 "Pinecone API documentation" cited your own domain: https://docs.pinecone.io/llms.txt, https://docs.pinecone.io/reference/api/introduction, https://docs.pinecone.io/reference/api/authentication, https://docs.pinecone.io/reference/api/versioning, https://docs.pinecone.io/reference/api/assistant/introduction

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

  • OpenAPI spec discoverablerequired5/5

    OpenAPI spec found at https://pinecone.io/openapi.json (version 3.0.3)

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

    spec ↗
  • Docs discoverablerequired4/4

    Docs found at https://docs.pinecone.io/integrations/claude-code (via homepage link, 4075 chars of readable text)

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

  • MCP server discoveryrequired2.5/5

    MCP evidence found only as a mention in llms.txt: "https://www.pinecone.io/mcp/" — no well-known server card

    fix → Publish /.well-known/mcp/server-card.json describing your MCP endpoint so agents can autodiscover it. Evidence found: llms.txt.

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

    spec ↗
  • npm SDKrecommended0/2

    No official npm SDK found: probed 6 candidate(s) (@pinecone/sdk, @pinecone/pinecone, pinecone, pinecone-sdk, pinecone-api, pinecone-js) — found but not domain-verified: pinecone, pinecone-js

    fix → Publish an official npm SDK (suggest @pinecone/sdk) with your domain in package.json homepage so agents can verify it's official.

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

  • PyPI SDKrecommended2/2

    Official PyPI package "pinecone" (verified via project_urls.Documentation https://docs.pinecone.io): latest 9.1.0 published 2026-06-03

    Searched PyPI for an official, domain-verified SDK package

5.Is your integration well-built?

watch →10/11

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

  • OpenAPI validity & qualityrecommended3/3

    Spec at https://pinecone.io/openapi.json: 7/7 quality criteria passed (47 paths, 72 operations)

    Linted the spec: descriptions, operationIds, securitySchemes, servers

  • Docs qualityrecommended2/3

    Docs at https://docs.pinecone.io/integrations/claude-code scored clarity 4/5, completeness 3/5, runnable examples 3/5, agent-friendliness 3/5 (mean 3.3/5)

    fix → Docs scored 3/5 on completeness. The documentation focuses heavily on the Claude Code Plugin and its features, but lacks a clear, comprehensive guide for an AI agent to integrate with the core Pinecone API itself, beyond just using the plugin.

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

  • Quickstart / getting startedrecommended2/2

    Quickstart found: https://docs.astral.sh/uv/getting-started/installation/ (linked from https://docs.pinecone.io/integrations/claude-code) returns 200 with a code block

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

  • MCP tool qualityrecommended3/3

    1 tools listed at https://www.pinecone.io/mcp/; all pass description, schema, and naming lint

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

6.Can an agent use you reliably in production?

watch →3/4

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

  • TLS & redirect hygienerequired2/2

    http://pinecone.io/ upgrades to https in 1 hop(s), 2 redirect(s) total, final HTTP 200; HSTS present

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

  • Response speed & weightrequired1/1

    Homepage TTFB 67ms, payload 253KB, Content-Encoding: br

    Measured homepage TTFB, payload size, and compression

  • security.txtrecommended0/1

    https://pinecone.io/.well-known/security.txt returned HTTP 404

    fix → Publish RFC 9116 /.well-known/security.txt with a Contact and a future Expires.

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

    spec ↗

7.Can an agent authenticate to you?

watch →1/7

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

  • OAuth authorization server metadatarecommended0/3

    Neither /.well-known/oauth-authorization-server nor /.well-known/openid-configuration resolved (HTTP 404 / HTTP 404)

    fix → Serve RFC 8414 metadata at /.well-known/oauth-authorization-server with PKCE (S256) and a registration_endpoint so agents can self-onboard.

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

    spec ↗
  • OAuth protected resource metadatarecommended0/2

    No RFC 9728 metadata: https://pinecone.io/.well-known/oauth-protected-resource → HTTP 404

    fix → Serve RFC 9728 metadata at /.well-known/oauth-protected-resource naming your authorization servers so agents can discover how to authenticate.

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

    spec ↗
  • Auth documentationrecommended1/2

    Auth page https://app.pinecone.io/organizations/-/keys 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://www.pinecone.io/pricing/ (via homepage link) with legible price signals ("$20/month flatEverything in St").

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

  • Machine-readable pricingrecommended5/5

    LLM extracted 4 numerically-priced plan(s) from https://www.pinecone.io/pricing/ at confidence 1.00: Starter USD 0/month; Builder USD 20/month; Standard USD 50/month; Enterprise USD 500/month; Bring your own cloud (contact sales).

    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 404. API probe GET https://api.pinecone.io/indexes returned HTTP 401 without x402 payment requirements. 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 llms.txt, agents.md, docs page (https://docs.pinecone.io/integrations/claude-code), OpenAPI spec (https://pinecone.io/openapi.json); /.well-known/ap2 returned HTTP 404.

    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 llms.txt, agents.md, docs page (https://docs.pinecone.io/integrations/claude-code), OpenAPI spec (https://pinecone.io/openapi.json); /.well-known/acp returned HTTP 404.

    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 llms.txt, agents.md, docs page (https://docs.pinecone.io/integrations/claude-code), OpenAPI spec (https://pinecone.io/openapi.json).

    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?

4/4

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 listrequired4/4

    MCP handshake OK at https://www.pinecone.io/mcp/: server "pinecone-marketing" (protocol 2025-06-18), 1 tool(s) listed

    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?

7/9

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 404 (text/html); GET /ask?query=hello returned HTTP 404 (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 structurerequired3/3

    5/6 semantic signals present on the homepage (missing: text-to-markup ratio ≥ 0.10)

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

  • Content readable without JavaScriptrequired2/2

    Homepage raw HTML contains 4836 chars of visible text without JavaScript

    Measured visible text in the raw, unrendered homepage HTML

  • Accessibility basicsrequired2/2

    Homepage accessibility: 4/5 checks passed — failing: labeled inputs (1/1 unlabeled)

    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 ↗