Twittertwitter.com

ScoredJul 21, 2026, 10:00 PM

Twitter's API program shows meaningful strengths in auth and security, but partners and their AI agents face critical friction in two areas: the API contract is too thin to build against reliably (missing schema depth and real-world examples), and there is no runnable, agent-readable layer to accelerate integration. Fixing the contract quality and adding executable, discoverable context should be the immediate priority — together they determine whether partners can get to a working integration at all, and whether their coding agents can do it without guessing.

API DesignA clean, typed, well-governed API contract agents can reason about0 pass1 warn2 fail43F
SignalPointsFindingsRationale
warnSecurity & governance hygienevia wellknown7.5/15security.txt present but missing or expired Expires. Investigated: wellknown 50%.No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
failSchema coverage & depthvia sdk0/25no .d.ts found. Investigated: sdk 0%.Typed, complete request/response schemas are what make agent function-calling possible.
failExample coveragevia docs0/10No detectable code samples across 20 sampled docs pages. Investigated: docs 0%, sdk 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 authenticate when auth is declared, scoped, and discoverable.
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples2 pass0 warn2 fail61C
SignalPointsFindingsRationale
passSelf-service developer portalvia docs29/29Self-service signup at https://x.com/signup; no free tier or sandbox language detected. Investigated: docs 100%.Self-serve key/account creation is the fast first call for partners, with no sales gate.
passChangelog publishedvia sdk13/13Newest official SDK activity 143 day(s) ago. Investigated: sdk 100%.A published changelog lets partners track changes without surprise.
failQuickstart presentvia docs0/25No quickstart/getting-started page found at the conventional paths. Investigated: docs 0%.A quickstart is the fastest path from landing page to first successful call.
failCode samples in docsvia docs0/18No detectable code samples across 20 sampled docs pages. Investigated: docs 0%.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.
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs3 pass0 warn0 fail100A+
SignalPointsFindingsRationale
passllms.txt present, valid & comprehensivevia docs30/30llms-full.txt reachable at https://docs.x.com/llms-full.txt. Investigated: docs 100%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
passRegistry & SDK presencevia docs28/28Indexed on Context7 (fa0311/twitter-openapi, 9 snippets). Investigated: docs 100%, sdk 100%, cli 100%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
passCrawlable / AEOvia wellknown12/12Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%.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 docs1 pass1 warn1 fail53D
SignalPointsFindingsRationale
passDocs structured datavia docs8/8JSON-LD Article markup on 8/8 assessed pages (100%) with dateModified present. Investigated: docs 100%.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 surfaces0.9/7Mean pairwise description similarity across 2 surfaces (docs, sdk) is 5% (threshold 35% for full credit).Every surface tells the same story about what the product is.
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.
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.
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.
Agent UsabilityAgents have the context to use your APIs reliably, not just find them0 pass0 warn1 fail40F
SignalPointsFindingsRationale
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.
naIdempotency documented—/27No surface produced evidence for this capability in this run.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.
naSandbox separation—/20No surface produced evidence for this capability in this run.An isolated environment lets agents exercise destructive operations safely.
Resources Discovered

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

Agent hintsContext7 (9)
Want to improve your results?