Llmstxtllmstxt.org.

ScoredNov 10, 2026, 05:54 PM

The llmstxt.org API program has a standout strength in API design and agent discovery, where partners and their agents can find and interpret the API surface reliably. However, the two areas that most directly determine whether a partner becomes active are critically underdeveloped: there is no self-service onboarding path — no signup, no quickstart, no code samples — meaning partners hit a wall before writing a single line of code, and there is no documented retry or idempotency behavior, leaving partners exposed to silent failures in production workflows.

API DesignA clean, typed, well-governed API contract agents can reason about2 pass1 warn0 fail91A+
SignalPointsFindingsRationale
passSchema coverage & depthvia sdk25/25package.json "types" → dist/index.d.ts. Investigated: sdk 100%.Typed, complete request/response schemas are what make agent function-calling possible.
warnSecurity & governance hygienevia sdk10/15Not idiomatic: 0 formatter diff(s), 1318 linter error(s). Investigated: sdk 67%, wellknown 0%.
Fix: Run the native formatter and fix linter errors so the generated code emits with zero diffs and zero errors.
No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
passExample coveragevia sdk10/10README is present and includes a runnable quickstart. Investigated: sdk 100%, docs 0%.Examples carry shape semantics schemas under-specify — for humans and agents alike.
naMachine-readable, versioned contract—/25No surface produced evidence for this capability in this run.A current OpenAPI version with a declared versioning scheme lets agents reason about the contract.
naAuth declared & discoverable—/25No surface produced evidence for this capability in this run.Agents can only call an API when they can determine its auth posture — a declared scheme, or an explicit statement that none is required.
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples0 pass0 warn3 fail40F
SignalPointsFindingsRationale
failSelf-service developer portalvia docs0/29No self-service signup detected — no signup link on the homepage or docs, and no conventional signup path (/signup, /sign-up, /register, /get-started, /console/signup, /dashboard/signup, /try, /try-free, /free, /free-trial, /start, /start-free, /join, /create-account, /account/signup, /auth/signup, /users/sign_up) resolved — so an agent can't onboard on its own. Investigated: docs 0%.
Fix: Publish a public signup endpoint and link it from your homepage/docs to compress time-to-first-call.
A first call without a human in the loop — self-serve credentials, a free tier, or an API that needs none.
failQuickstart presentvia docs0/25No quickstart or getting-started page found at the conventional docs paths, so new developers and agents have no obvious first step. Investigated: docs 0%.
Fix: Publish a single-page quickstart that goes from zero to a first successful API call.
A quickstart is the fastest path from landing page to first successful call.
failCode samples in docsvia docs0/18No code samples detected across 3 sampled docs pages, so a coding agent gets no ready-to-use examples. Investigated: docs 0%.
Fix: Add copy-pasteable code samples to API reference and quickstart pages.
Multi-language samples shorten time-to-first-call.
naDescription completeness—/15No surface produced evidence for this capability in this run.Complete descriptions are the context humans and agents need to use endpoints.
naChangelog published—/13No surface produced evidence for this capability in this run.A published changelog lets partners track changes without surprise.
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs2 pass2 warn0 fail87A
SignalPointsFindingsRationale
passRegistry & SDK presencevia docs28/28Indexed on Context7 (llmstxt/llmstxt_llms_txt, 51 snippets). Investigated: docs 100%, sdk 8%, cli 0%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
warnllms.txt present, valid & comprehensivevia docs22.9/30llms.txt covers 3/7 sitemap doc pages (43%); 4 missing — Missing: https://llmstxt.org/core.html, https://llmstxt.org/domains.html, https://llmstxt.org/nbdev.html, https://llmstxt.org/changes.html. Investigated: docs 76%, sdk 0%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
warnDocs reachable, not hard auth-gatedvia docs22.5/30Server ignores Accept: text/markdown header (0/9 pages return markdown). Investigated: docs 75%.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
passCrawlable / AEOvia wellknown12/12robots.txt lets all monitored AI crawlers reach the docs paths. Investigated: wellknown 100%.Bots allowed plus a fresh sitemap make docs findable by agent crawlers.
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs0 pass4 warn0 fail71B
SignalPointsFindingsRationale
warnAgent-navigable, token-efficient docsvia docs20.8/228/9 pages support .md URLs (89%); inconsistent support. Investigated: docs 95%.Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly.
warnAgent instructions file (AGENTS.md)via sdk5/10No agents.md or skill.md context file found (nice-to-have for agent operation). Investigated: sdk 50%, wellknown 0%.
Fix: Add an agents.md or skill.md describing how an agent should use this SDK (auth setup, key operations, gotchas).
An AGENTS.md gives coding agents explicit setup, auth, and usage instructions to interpret and operate the API — beyond llms.txt's link index.
warnDocs structured datavia docs4/8Only OpenGraph/meta tags across 3 assessed pages — no JSON-LD for AI answer engines to cite. Investigated: docs 50%.
Fix: Emit JSON-LD with Article/TechArticle @type and dateModified in the rendered docs head.
Structured data (JSON-LD/schema.org) on docs pages gives agents an unambiguous parse target and is what answer engines cite. Detected on the JS-rendered head (Firecrawl) for a bounded page budget, so JS-injected JSON-LD is now caught; pages we can't render are excluded rather than failed.
warnDescription consistency across surfaces0.5/7Mean pairwise description similarity across 2 surfaces (docs, sdk) is 2% (threshold 35% for full credit).
Fix: Align the API description across spec, docs, and SDK so an agent reading any one surface gets the same story.
Every surface tells the same story about what the product is.
naMachine-readable errors (RFC 9457)—/28No surface produced evidence for this capability in this run.RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens.
naOperation purpose clarity—/25No surface produced evidence for this capability in this run.Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice.
Agent UsabilityAgents have the context to use your APIs reliably, not just find them1 pass1 warn1 fail52D
SignalPointsFindingsRationale
warnSandbox separationvia sdk10/20No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%.
Fix: Expose a test-mode flag or sandbox environment so agents can exercise the SDK safely.
An isolated environment lets agents exercise destructive operations safely.
passRunnable collection with test scriptsvia sdk9/9README is present and includes a runnable quickstart. Investigated: sdk 100%, platform 0%.A public, maintained collection with assertions is runnable truth agents validate against.
failIdempotency documentedvia sdk0/27No built-in retry machinery was found; transient failures are not retried. Investigated: sdk 0%.
Fix: Add built-in retry support (retry transient/retryable status codes with backoff) so consumers do not have to implement it themselves.
Documented idempotency lets agents retry safely.
naRate-limit signaling—/22No surface produced evidence for this capability in this run.Machine-readable rate-limit headers let agents throttle adaptively.
naPagination documented & consistent—/22No surface produced evidence for this capability in this run.Consistent, documented pagination lets agents traverse collections.
Resources Discovered

The public resources we found for Llmstxt — the evidence behind the score. All discovered from public sources; nothing here requires access to your systems.

Agent hintsContext7 (51)
Want to improve your results?