Ajaaja.com

ScoredNov 10, 2026, 06:54 PM

Aja's API program has clear strengths in schema design, structured data, and agent context — partners and their agents can trust the data shapes they receive. However, the program's most urgent gaps are in developer onboarding and operational reliability: there is no self-service entry point, no quickstart, and no code examples, meaning partners cannot get to a first working call without a sales conversation.

API DesignA clean, typed, well-governed API contract agents can reason about4 pass1 warn0 fail89A
SignalPointsFindingsRationale
passMachine-readable, versioned contractvia spec25/25The API declares version "1.0.0" and uses url-based versioning, so an agent can pin to a stable contract. Investigated: spec 100%, docs 100%.A current OpenAPI version with a declared versioning scheme lets agents reason about the contract.
passAuth declared & discoverablevia mcp25/25The MCP server at https://ablakarajanlat.hu/api/mcp accepts unauthenticated requests, so an agent knows it needs no credentials. Investigated: mcp 100%, spec 50%, docs 50%.Agents can only call an API when they can determine its auth posture — a declared scheme, or an explicit statement that none is required.
passSecurity & governance hygienevia spec15/15No credential-shaped strings detected in spec. Investigated: spec 100%, sdk 100%, wellknown 0%.No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
warnSchema coverage & depthvia spec12.5/25Only 58% of the 69 operations document request and response schemas, so an agent can't do function-calling against most endpoints. Investigated: spec 50%, sdk 0%.
Fix: Add request and response schemas to enable agent function-calling.
Typed, complete request/response schemas are what make agent function-calling possible.
passExample coveragevia spec10/10Only 56% of parameters and responses (28 of 50) include examples (target 80%+), so an agent guesses payload shapes the schema under-specifies. Investigated: spec 100%, sdk 100%, docs 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 examples0 pass0 warn5 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 1 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.
failDescription completenessvia spec0/15Only 20% of operations and parameters have descriptions (27 of 69 ops, 0 of 8 params), leaving an agent to guess what most endpoints do. Investigated: spec 0%.
Fix: Descriptions are the primary semantic signal agents use for tool selection. Each operation should explain what it does and reference its parameters; each parameter needs a real description.
Complete descriptions are the context humans and agents need to use endpoints.
failChangelog publishedvia spec0/13No changelog link or mention appears in the spec, so an agent can't tell what changed before something breaks. Investigated: spec 0%, docs 0%.
Fix: Publish a structured changelog (e.g., /changelog.json or releases.atom) and reference it in info or externalDocs.
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 warn1 fail71B
SignalPointsFindingsRationale
passDocs reachable, not hard auth-gatedvia docs30/30All 1 pages are publicly accessible. Investigated: docs 100%.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
passRegistry & SDK presencevia docs28/28Indexed on Context7 (websites/sdkdocs_aja, 28554 snippets). Investigated: docs 100%, sdk 25%, cli 0%, mcp 0%, wellknown 0%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
warnCrawlable / AEOvia wellknown6/12No sitemap found via robots.txt or /sitemap.xml on the docs host, so AI search engines have no crawl map for your docs. Investigated: wellknown 50%.
Fix: Publish an XML sitemap and reference it from robots.txt.
Bots allowed plus a fresh sitemap make docs findable by agent crawlers.
failllms.txt present, valid & comprehensivevia docs0/30No llms.txt found at any candidate location (https://sdkdocs.aja.com/llms.txt, https://sdkdocs.aja.com/docs/llms.txt). Investigated: docs 0%, sdk 0%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs3 pass2 warn0 fail92A+
SignalPointsFindingsRationale
passMachine-readable errors (RFC 9457)via docs28/28Only 1 distinct 4xx/5xx error codes are documented (plus 0 catch-all "default" responses), so an agent has limited failure branching. Investigated: docs 100%, spec 50%.RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens.
passOperation purpose clarityvia sdk25/25Surface uses a single dominant casing convention (snake_case). Investigated: sdk 100%, spec 0%.Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice.
passAgent-navigable, token-efficient docsvia docs22/22All 1 pages contain server-rendered content. Investigated: docs 100%.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 1 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.
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 them1 pass1 warn3 fail45F
SignalPointsFindingsRationale
warnSandbox separationvia sdk10/20No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%, spec 0%, docs 0%.
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 spec0/27Only 0% of mutating operations (0 of 32) document idempotency, so an agent's retries can create duplicate writes. Investigated: spec 0%, docs 0%, sdk 0%.
Fix: Agents retry on failure; without idempotency, retries create duplicates. Document Idempotency-Key on every POST/PUT/PATCH/DELETE.
Documented idempotency lets agents retry safely.
failRate-limit signalingvia spec0/22No rate-limit response headers are documented, so an agent can't tell when it is approaching a limit and will get throttled. Investigated: spec 0%, docs 0%.
Fix: Add x-ratelimit-* response headers and document retry-after semantics.
Machine-readable rate-limit headers let agents throttle adaptively.
failPagination documented & consistentvia spec0/22The 10 list endpoint(s) expose no pagination parameters, forcing an agent into all-or-nothing reads. Investigated: spec 0%, docs 0%.
Fix: Add pagination parameters (cursor / offset+limit) to all list endpoints.
Consistent, documented pagination lets agents traverse collections.
Resources Discovered

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

Agent hintsContext7 (28,554)
APIs analyzed1 — OpenAPI ColorBox
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