Veevaveeva.com

ScoredOct 14, 2026, 07:27 PM

Veeva's API program shows strength in documentation discovery and reachability — partners can find the front door. However, two critical gaps threaten the partner integration experience: the absence of typed SDK definitions means neither partners nor their AI agents can reliably build against Veeva's API surface, and the lack of runnable collections with test scripts leaves partners without a verified, executable starting point.

API DesignA clean, typed, well-governed API contract agents can reason about1 pass1 warn1 fail55D
SignalPointsFindingsRationale
warnSecurity & governance hygienevia sdk10/15Bloated footprint: 30 direct dependencies (>15). Investigated: sdk 67%, wellknown 0%.
Fix: Reduce the direct-dependency count well below 15; prefer the standard library and drop heavy frameworks.
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 appear on 5 of 11 sampled docs pages across 1 language(s), but broader multi-language coverage is missing. Investigated: docs 100%, sdk 0%.Examples carry shape semantics schemas under-specify — for humans and agents alike.
failSchema coverage & depthvia sdk0/25no .d.ts found. Investigated: sdk 0%.
Fix: Ship type declarations in the published package (e.g. bundle .d.ts files / add a py.typed marker).
Typed, complete request/response schemas are what make agent function-calling possible.
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 examples3 pass0 warn0 fail100A+
SignalPointsFindingsRationale
passSelf-service developer portalvia docs29/29Self-service signup available at https://www.veeva.com/events/community-forums/register/, but no free tier or sandbox is documented, so an agent may hit a paywall before the first call. Investigated: docs 100%.A first call without a human in the loop — self-serve credentials, a free tier, or an API that needs none.
passQuickstart presentvia docs25/25Quickstart at https://general.veevavault.dev/custom-pages/getting-started/client-quickstart includes a runnable first-call code sample. Investigated: docs 100%.A quickstart is the fastest path from landing page to first successful call.
passCode samples in docsvia docs18/18Code samples appear on 5 of 11 sampled docs pages across 1 language(s), but broader multi-language coverage is missing. Investigated: docs 100%.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 fail83A
SignalPointsFindingsRationale
passRegistry & SDK presencevia docs28/28Indexed on Context7 (websites/general_veevavault_dev, 17011 snippets). Investigated: docs 100%, sdk 50%, cli 0%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
warnDocs reachable, not hard auth-gatedvia docs22.5/30Server ignores Accept: text/markdown header (0/50 sampled pages return markdown). Investigated: docs 75%.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
warnllms.txt present, valid & comprehensivevia docs17.8/30No llms.txt directive found in HTML of any of 49 sampled pages; 1 failed to fetch. Investigated: docs 59%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
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 docs1 pass2 warn0 fail78B
SignalPointsFindingsRationale
warnAgent-navigable, token-efficient docsvia docs16.3/223 of 50 pages have substantive content differences between markdown and HTML (avg 6% missing). Investigated: docs 74%.Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly.
passDocs structured datavia docs8/8Machine-readable JSON-LD Article markup on 11 of 11 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.
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.
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.
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 them0 pass0 warn1 fail40F
SignalPointsFindingsRationale
failRunnable collection with test scriptsvia sdk0/9No README found. Investigated: sdk 0%, platform 0%.
Fix: Add a README with installation instructions and a runnable quickstart example.
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 Veeva — the evidence behind the score. All discovered from public sources; nothing here requires access to your systems.

Agent hintsContext7 (17,011)
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