Launchdarklylaunchdarkly.com

ScoredJul 24, 2026, 06:33 AM

LaunchDarkly's API program shows strong foundational design and discoverability, but two areas are holding back partner and agent success: AI agents lack the structured context files and semantic markup they need to understand and act on the API without human intervention, and partners have no runnable, test-validated collection to validate their integrations before going live. Closing these gaps — starting with agent-readable context and structured docs, then layering in executable, test-backed collections — will meaningfully shorten the time partners spend in troubleshooting and raise confidence for both human developers and the AI agents building on top of LaunchDarkly.

API DesignA clean, typed, well-governed API contract agents can reason about4 pass1 warn0 fail94A+
SignalPointsFindingsRationale
passMachine-readable, versioned contractvia spec25/25Versioning declared (info.version="2.0") and header-versioning detected. Investigated: spec 100%, docs 100%.A current OpenAPI version with a declared versioning scheme lets agents reason about the contract.
passAuth declared & discoverablevia spec25/25Authentication required (global or on every operation). Investigated: spec 100%, docs 100%.Agents can only authenticate when auth is declared, scoped, and discoverable.
warnSchema coverage & depthvia sdk18.3/252354 of 9743 public signatures use loose types (anyTypeRatio=0.242). Investigated: sdk 73%, spec 50%.Typed, complete request/response schemas are what make agent function-calling possible.
passSecurity & governance hygienevia spec15/15No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 50%.No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
passExample coveragevia docs10/10Code samples present on 2/20 pages across 2 language(s); broader multi-language coverage missing. Investigated: docs 100%, sdk 100%, spec 0%.Examples carry shape semantics schemas under-specify — for humans and agents alike.
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples5 pass0 warn0 fail100A+
SignalPointsFindingsRationale
passSelf-service developer portalvia docs29/29Signup page at https://app.launchdarkly.com/signup; no free-tier language detected in docs/pricing. Investigated: docs 100%.Self-serve key/account creation is the fast first call for partners, with no sales gate.
passQuickstart presentvia docs25/25Quickstart at https://launchdarkly.com/docs/home/getting-started has a runnable sample in the .md variant (https://launchdarkly.com/docs/home/getting-started.md). Investigated: docs 100%.A quickstart is the fastest path from landing page to first successful call.
passCode samples in docsvia docs18/18Code samples present on 2/20 pages across 2 language(s); broader multi-language coverage missing. Investigated: docs 100%.Multi-language samples shorten time-to-first-call.
passDescription completenessvia spec15/1589% description completeness (target 90%+). Investigated: spec 100%, sdk 100%.Complete descriptions are the context humans and agents need to use endpoints.
passChangelog publishedvia spec13/13Structured changelog feed declared: https://app.launchdarkly.com/api/v2/openapi.json. Investigated: spec 100%, docs 100%, sdk 100%.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 pass1 warn0 fail96A+
SignalPointsFindingsRationale
passllms.txt present, valid & comprehensivevia docs30/30llms-full.txt reachable at https://launchdarkly.com/docs/home/llms-full.txt. Investigated: docs 100%, sdk 0%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
passRegistry & SDK presencevia docs28/28Indexed on Context7 (websites/launchdarkly, 10260 snippets). Investigated: docs 100%, cli 100%, sdk 67%, mcp 0%, wellknown 0%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
warnCrawlable / AEOvia wellknown9/12Sitemap present (6 entries) but carries no lastmod values. Investigated: wellknown 75%.Bots allowed plus a fresh sitemap make docs findable by agent crawlers.
naDocs reachable, not hard auth-gated—/30No surface produced evidence for this capability in this run.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs2 pass0 warn2 fail79B
SignalPointsFindingsRationale
passMachine-readable errors (RFC 9457)via docs28/2812 distinct 4xx/5xx response codes documented. Investigated: docs 100%, sdk 100%, spec 50%.RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens.
passOperation purpose clarityvia spec25/2599% of operations have a clear summary + operationId an agent can select on. Investigated: spec 100%.Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice.
failAgent instructions file (AGENTS.md)via wellknown0/10No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.An AGENTS.md gives coding agents explicit setup, auth, and usage instructions to interpret and operate the API — beyond llms.txt's link index.
failDocs structured datavia docs0/8Neither JSON-LD nor OpenGraph/meta tags detected across 3 assessed pages (3 JS-rendered). Investigated: docs 0%.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.
naAgent-navigable, token-efficient docs—/22No surface produced evidence for this capability in this run.Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly.
naDescription consistency across surfaces—/7Only 1 surface description(s) with ≥6 tokens available; need at least 2 to compare.Every surface tells the same story about what the product is.
Agent UsabilityAgents have the context to use your APIs reliably, not just find them4 pass0 warn1 fail92A+
SignalPointsFindingsRationale
passIdempotency documentedvia spec27/27idempotency documented in the docs site at https://launchdarkly.com/idempotent-requests/. Investigated: spec 100%, docs 100%, sdk 100%.Documented idempotency lets agents retry safely.
passRate-limit signalingvia spec22/22rate-limit behavior documented in the docs site at https://launchdarkly.com/api/rate-limits/. Investigated: spec 100%, docs 100%.Machine-readable rate-limit headers let agents throttle adaptively.
passPagination documented & consistentvia spec22/22Pagination params detected on 89 list endpoint(s). Investigated: spec 100%, docs 100%.Consistent, documented pagination lets agents traverse collections.
passSandbox separationvia spec20/20sandbox documented in the docs site at https://launchdarkly.com/api/sandbox/. Investigated: spec 100%, docs 100%, sdk 100%.An isolated environment lets agents exercise destructive operations safely.
failRunnable collection with test scriptsvia platform0/9No public Postman workspace discovered for the org. Investigated: platform 0%.A public, maintained collection with assertions is runnable truth agents validate against.
Resources Discovered

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

Agent hintsContext7 (10,260)
APIs analyzed1LaunchDarkly REST API
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