Smarshsmarsh.com

ScoredOct 2, 2026, 10:26 PM

Smarsh's API program shows meaningful strengths in documentation crawlability and reachability, but two areas are holding back partner activation: partners and their AI agents have no self-service entry point — no signup path, no quickstart, and no runnable collection to make a first call — and the API surface is essentially invisible to the agent ecosystem, lacking the machine-readable files and registry presence that modern coding agents rely on. Fixing self-service onboarding and agent-readable infrastructure should be the immediate priority, as they directly block partner time-to-value and automated integration workflows.

API DesignA clean, typed, well-governed API contract agents can reason about0 pass0 warn1 fail40F
SignalPointsFindingsRationale
failSecurity & governance hygienevia wellknown0/15No security.txt found at /.well-known/security.txt or /security.txt, so there's no machine-readable security contact for agents or researchers. Investigated: wellknown 0%.
Fix: Publish an RFC 9116 security.txt with a Contact line and a future Expires date.
No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
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.
naSchema coverage & depth—/25No surface produced evidence for this capability in this run.Typed, complete request/response schemas are what make agent function-calling possible.
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.
naExample coverage—/10No surface produced evidence for this capability in this run.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 warn2 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.
naCode samples in docs—/18No surface produced evidence for this capability in this run.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 docs0 pass3 warn1 fail66C
SignalPointsFindingsRationale
warnDocs reachable, not hard auth-gatedvia docs26.3/30Content negotiation partially supported: 0 correct type, 25 wrong type, 25 HTML only; 25 rate-limited (HTTP 429). Investigated: docs 88%.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
warnllms.txt present, valid & comprehensivevia docs25.7/30No llms-full.txt was found at any candidate origin, so agents can't grab your full docs in one fetch. Investigated: docs 86%.
Fix: Publish a concatenated, agent-readable copy of your documentation at /llms-full.txt on your docs site.
A valid, comprehensive llms.txt is the machine-readable entry point for agents.
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.
failRegistry & SDK presencevia docs0/28Not indexed on Context7 — agents can't pull this API's docs on demand via Context7. Investigated: docs 0%, sdk 0%, cli 0%.
Fix: Submit the docs to context7.com so coding agents can retrieve up-to-date docs on demand.
Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs0 pass1 warn1 fail64C
SignalPointsFindingsRationale
warnAgent-navigable, token-efficient docsvia docs17.6/2225 of 50 sampled pages have content starting past 50% (worst 102%). Investigated: docs 80%.Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly.
failAgent instructions file (AGENTS.md)via wellknown0/10No AGENTS.md at the site root or /.well-known/, so coding agents have no ready-made setup and usage instructions. Investigated: wellknown 0%.
Fix: Publish an AGENTS.md with setup, auth, and usage instructions a coding agent can follow.
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.
naDocs structured data—/8No surface produced evidence for this capability in this run.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 0 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 platform0/9No public Postman workspace found for the org, so there's no runnable collection an agent can execute against. Investigated: platform 0%.
Fix: Publish at least one public Postman workspace and link it from your developer portal so agents can use Run-in-Postman.
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.
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