Infobipinfobip.com

ScoredJul 24, 2026, 09:08 AM

Infobip's API program excels in discovery and machine-readable contract quality, giving partners a strong foundation to find and evaluate the APIs. However, the program has critical gaps in agent usability and agent understanding: there is no runnable context for agents to build against, no instructions file to orient AI coding tools, and operational reliability signals like idempotency and rate-limit behavior are underdocumented.

API DesignA clean, typed, well-governed API contract agents can reason about3 pass2 warn0 fail89A
SignalPointsFindingsRationale
passAuth declared & discoverablevia docs25/25authentication documented in the docs site at https://www.infobip.com/authentication. Investigated: docs 100%, spec 50%, wellknown 0%.Agents can only authenticate when auth is declared, scoped, and discoverable.
warnSchema coverage & depthvia sdk19/2535/62 (56%) public params are fully typed (no any/**kwargs). Analyzer reports not all methods have a derivable input schema. Investigated: sdk 76%, spec 67%.Typed, complete request/response schemas are what make agent function-calling possible.
warnMachine-readable, versioned contractvia spec18.8/25info.version="3.210.0" set but no versioning scheme (URL / header / media type) detected. Investigated: spec 75%, docs 50%.A current OpenAPI version with a declared versioning scheme lets agents reason about the contract.
passSecurity & governance hygienevia spec15/15No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 100%.No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
passExample coveragevia spec10/1087% example coverage across params + responses. 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 examples3 pass1 warn1 fail75B
SignalPointsFindingsRationale
passSelf-service developer portalvia docs29/29Signup page at https://www.infobip.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.
passDescription completenessvia spec15/1589% description completeness (target 90%+). Investigated: spec 100%, sdk 37%.Complete descriptions are the context humans and agents need to use endpoints.
passChangelog publishedvia spec13/13changelog documented in the docs site at https://www.infobip.com/docs/release-notes. Investigated: spec 100%, docs 100%, sdk 100%.A published changelog lets partners track changes without surprise.
warnQuickstart presentvia docs12.5/25Quickstart page reachable (12 variants scanned starting at https://www.infobip.com/docs/api/quickstart) but no runnable code sample detected in HTML or .md variant. Investigated: docs 50%.A quickstart is the fastest path from landing page to first successful call.
failCode samples in docsvia docs0/18No detectable code samples across 19 sampled docs pages. Investigated: docs 0%.Multi-language samples shorten time-to-first-call.
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs1 pass3 warn0 fail85A
SignalPointsFindingsRationale
passRegistry & SDK presencevia docs28/28Indexed on Context7 (websites/infobip, 23317 snippets). Investigated: docs 100%, sdk 100%, mcp 100%, cli 0%, wellknown 0%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
warnllms.txt present, valid & comprehensivevia docs25.7/30No llms.txt directive found in HTML of any of 35 pages. Investigated: docs 86%, sdk 0%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
warnDocs reachable, not hard auth-gatedvia docs22.5/3035 of 35 pages return 200 for non-existent URLs (soft 404). Investigated: docs 75%.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
warnCrawlable / AEOvia wellknown6/12robots.txt blocks 6 of 7 monitored AI crawlers on docs paths (gptbot, claudebot, claude-web, anthropic-ai, google-extended, ccbot). Investigated: wellknown 50%.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 docs2 pass2 warn2 fail78B
SignalPointsFindingsRationale
passMachine-readable errors (RFC 9457)via docs28/2811 distinct 4xx/5xx response codes documented. 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 spec25/2595% 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.
warnAgent-navigable, token-efficient docsvia docs19.8/2235 of 35 pages have content starting past 50% (worst 100%). Investigated: docs 90%.Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly.
warnDescription consistency across surfaces1/7Mean pairwise description similarity across 3 surfaces (spec, 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.
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.
Agent UsabilityAgents have the context to use your APIs reliably, not just find them1 pass1 warn3 fail51D
SignalPointsFindingsRationale
passPagination documented & consistentvia spec22/22Pagination params detected on 138 list endpoint(s). Investigated: spec 100%, docs 100%.Consistent, documented pagination lets agents traverse collections.
warnSandbox separationvia sdk10/20No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%, spec 0%, docs 0%.An isolated environment lets agents exercise destructive operations safely.
failIdempotency documentedvia spec0/270% of mutating operations document idempotency. Investigated: spec 0%, docs 0%, sdk 0%.Documented idempotency lets agents retry safely.
failRate-limit signalingvia spec0/22No rate-limit response headers documented. Investigated: spec 0%, docs 0%.Machine-readable rate-limit headers let agents throttle adaptively.
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 Infobip — the evidence behind the score. All discovered from public sources; nothing here requires access to your systems.

Agent hintsContext7 (23,317)
APIs analyzed1Infobip OpenAPI Specification
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