tavily.com
agent readiness score · scanned Aug 18, 2026 · 6s · Agent Tools
#24 of 979 · #5 in category
Tavily provides a secure API for AI agents to access real-time web data, including search, content extraction, site crawling, and in-depth research, delivering clean, LLM-ready content.
Discovery 17.5/20
Access 30/30
Usability 23.9/40
Payments 10/10
Top fixes
- +5
OpenAPI spec discoverable
Publish your OpenAPI spec at /openapi.json and link it from docs — it's the single highest-leverage artifact for agent integration.
- +3
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.
- +2.5
Sitemap present & fresh
Publish /sitemap.xml, reference it from robots.txt, and include <lastmod> dates so agents can tell what's current. Freshest lastmod seen: none.
- +2
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.
- +2
Quickstart / getting started
Add a copy-pasteable quickstart (auth → first API call) — agents follow it literally.
- +2
npm SDK
Publish an official npm SDK (suggest @tavily/sdk) with your domain in package.json homepage so agents can verify it's official.
1.Can an agent discover and trust you?
6/8
1.Can an agent discover and trust you?
Whether agents can crawl you, find you in the registries and searches they check, and trust what they find.
◐Sitemap present & fresh2/4
Sitemap at https://tavily.com/sitemap.xml is valid XML with 82 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 discoverability4/4
Both searches ("Tavily" and "Tavily agent tools") cited tavily.com: https://docs.tavily.com/examples/quick-tutorials/search-api, https://docs.tavily.com/documentation/api-reference/endpoint/search, https://docs.tavily.com/documentation/tavily-cli, https://docs.tavily.com/agents, https://docs.tavily.com/documentation/agent-skills
Ran clean brand-name web searches and checked whether your domain is cited in the results
—MCP registry listingsna
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
2.Do you welcome agents?
Whether your robots policy, bot protection, and agent guidance actively admit AI agents instead of blocking them.
✓robots.txt present & parseable2/2
/robots.txt parses: 3 User-agent group(s), 1 Sitemap line(s)
Fetched /robots.txt and validated it parses as a robots policy
spec ↗✓AI crawler policy5/5
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 directives0/2
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 parity4/4
All three UAs get HTTP 200; bot bodies are ClaudeBot 100%, GPTBot 100% of the browser response (150415 bytes)
Compared responses served to browser and AI-agent user-agents (informational while in beta)
✓agents.md3/3
Found https://tavily.com/agents.md: 10882 chars of markdown with 8 heading(s)
Fetched /agents.md and checked for substantive agent guidance
spec ↗
3.Does an agent understand who you are and what you do?
18/18
3.Does an agent understand who you are and what you do?
Whether your pages carry machine-readable identity: structured data, llms.txt, clear copy an agent can quote.
✓Homepage states what you are3/3
Homepage clarity rated 5/5 — an agent can confidently say what this company does (model's one-sentence read: "Tavily provides a secure API for AI agents to access real-time web data, including search, content extraction, site crawling, and in-depth research, delivering clean, LLM-ready content.")
An LLM read your homepage as an agent would and rated how confidently it could say what you do
✓OpenGraph / social metadata2/2
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.txt4/4
/llms.txt is valid llmstxt.org shape: H1 "Tavily Docs", 104 markdown link(s)
Fetched /llms.txt and validated it against the llmstxt.org shape (H1, summary, curated links)
spec ↗✓llms-full.txt2/2
/llms-full.txt serves 811267 chars of markdown
Fetched /llms-full.txt and checked for substantial inline markdown content
spec ↗✓JSON-LD structured data4/4
13 JSON-LD block(s) on homepage and pricing page (types: Organization, WebSite, Service, Product, SoftwareApplication, WebAPI, WebPage); Organization block is well-formed
Extracted and validated application/ld+json blocks on the homepage and pricing page
spec ↗✓Markdown content negotiation3/3
https://docs.tavily.com/ 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 →14/21
4.Can an agent integrate with you?
Whether the artifacts an agent needs to build on you — docs, API specs, SDKs, MCP servers — exist and are findable.
✓Developer resource discoverability3/3
Search "Tavily API documentation" cited your own domain: https://docs.tavily.com/llms.txt, https://docs.tavily.com/documentation/api-reference/endpoint/search, https://docs.tavily.com/documentation/api-reference/introduction, https://docs.tavily.com/examples/quick-tutorials/search-api, https://docs.tavily.com/sdk/python/reference
Searched for your brand with developer-keyword suffixes and checked which official resources are cited
✗OpenAPI spec discoverable0/5
No OpenAPI spec found: checked docs-page links and /openapi.json, /openapi.yaml, /swagger.json, /api/openapi.json, /docs/openapi.json, and api-subdomain locations
fix → Publish your OpenAPI spec at /openapi.json and link it from docs — it's the single highest-leverage artifact for agent integration.
Probed standard OpenAPI locations and docs links for a fetchable, parseable spec
spec ↗✓Docs discoverable4/4
Docs found at https://docs.tavily.com/ (via homepage link, 6140 chars of readable text)
Followed homepage nav/footer links and probed /docs, /developers, docs.{domain}
✓MCP server discovery5/5
MCP configuration found at well-known path https://tavily.com/.well-known/mcp.json (endpoint https://mcp.tavily.com/mcp/)
Probed /.well-known/mcp/server-card.json, mcp.json, and docs mentions for an MCP endpoint
spec ↗✗npm SDK0/2
No official npm SDK found: probed 6 candidate(s) (@tavily/sdk, @tavily/tavily, tavily, tavily-sdk, tavily-api, tavily-js) — registry unavailable for: tavily (Request budget exhausted), tavily-sdk (Request budget exhausted), tavily-api (Request budget exhausted), tavily-js (Request budget exhausted)
fix → Publish an official npm SDK (suggest @tavily/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 SDK2/2
Official PyPI package "tavily-python" (verified via repository under the tavily GitHub org (https://github.com/tavily-ai/tavily-python)): latest 0.7.27 published 2026-07-30
Searched PyPI for an official, domain-verified SDK package
5.Is your integration well-built?
watch →2.9/5
5.Is your integration well-built?
Whether your specs, docs, and tools are complete and descriptive enough for an agent to use them without guessing.
—OpenAPI validity & qualityna
No OpenAPI spec found — nothing to lint
Linted the spec: descriptions, operationIds, securitySchemes, servers
✓Docs quality2.9/3
Docs at https://docs.tavily.com/ scored clarity 5/5, completeness 4/5, runnable examples 5/5, agent-friendliness 5/5 (mean 4.8/5)
An LLM rated your docs for clarity, completeness, runnable examples, and agent-friendliness
✗Quickstart / getting started0/2
No quickstart/getting-started link or heading found on docs page https://docs.tavily.com/ (searched 36 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 qualityna
MCP endpoint is auth-gated — tools could not be listed unauthenticated
Linted listed tools for descriptions, typed input schemas, and naming
6.Can an agent use you reliably in production?
watch →3/4
6.Can an agent use you reliably in production?
Response hygiene, TLS and redirect discipline, and security contact channels agents depend on at runtime.
✓TLS & redirect hygiene2/2
http://tavily.com/ upgrades to https in 1 hop(s), 2 redirect(s) total, final HTTP 200; no HSTS header
Checked http→https redirect behavior, chain length, and TLS health
✓Response speed & weight1/1
Homepage TTFB 21ms, payload 147KB, Content-Encoding: gzip
Measured homepage TTFB, payload size, and compression
✗security.txt0/1
https://tavily.com/.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
7.Can an agent authenticate to you?
Whether agents can discover your auth model machine-readably (OAuth metadata) and follow documented steps to credentials.
✗OAuth authorization server metadata0/3
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 metadata0/2
No RFC 9728 metadata: https://tavily.com/.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 documentation1/2
Auth page https://app.tavily.com/ 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
8.Can an agent transact with you?
Whether pricing is discoverable and machine-readable, and whether you support agent payment protocols.
✓Pricing discoverable5/5
Pricing page found at https://www.tavily.com/pricing (via homepage link) with legible price signals ("$0.008 / creditFor flexible us").
Followed nav/footer links and probed /pricing for a page with legible price signals
✓Machine-readable pricing5/5
Offer JSON-LD found on pricing page — machine-readable without inference (1 Product block(s) with an offers property at https://www.tavily.com/pricing).
Looked for Offer JSON-LD, then had an LLM attempt structured extraction of your plans
spec ↗✗x402 payment support0/2
/.well-known/x402 returned HTTP 404. 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 readiness0/1
No AP2 hints found — scanned llms.txt, agents.md, docs page (https://docs.tavily.com/); /.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 Protocol0/1
No Agentic Commerce Protocol hints found — scanned llms.txt, agents.md, docs page (https://docs.tavily.com/); /.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 protocols0/1
No UCP/MPP hints found — scanned llms.txt, agents.md, docs page (https://docs.tavily.com/).
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
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 publishedna
Requires the analysis phase — not yet evaluated
Checked /skill.md, /.well-known/skills/, and skills.sh for published agent skills
✓MCP handshake & tools list4/4
MCP endpoint https://mcp.tavily.com/mcp/ is auth-gated (HTTP 401) and advertises resolvable RFC 9728 resource metadata in WWW-Authenticate — properly advertised auth gate
Performed a streamable-HTTP initialize + tools/list against the MCP endpoint
spec ↗—Agent configs in public repona
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?
5.5/9
10.Can an agent operate your website directly?
Whether the site itself is legible to non-rendering and browser agents: semantic HTML, no JS walls, accessibility.
✗NLWeb endpoint0/1
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 structure1.5/3
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 JavaScript2/2
Homepage raw HTML contains 3796 chars of visible text without JavaScript
Measured visible text in the raw, unrendered homepage HTML
✓Accessibility basics2/2
Homepage accessibility: 4/5 checks passed — failing: labeled inputs (1/2 unlabeled)
Static checks: lang attribute, title, alt coverage, labeled inputs, landmarks
✗WebMCP0/1
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 ↗