Generaligenerali.it

ScoredOct 2, 2026, 07:38 AM

Generali's API program shows meaningful signal in agent discoverability but is critically underserving partners across onboarding, developer experience, and agent readiness. The two most urgent gaps are the complete absence of a self-service developer portal — partners cannot evaluate, onboard, or make a first call without a sales conversation — and zero runnable, agent-consumable context (no code samples, no quickstart, no executable collections).

API DesignA clean, typed, well-governed API contract agents can reason about0 pass0 warn2 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.
failExample coveragevia docs0/10No 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.
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.
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.
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples0 pass0 warn3 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.
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 pass0 warn1 fail66C
SignalPointsFindingsRationale
passRegistry & SDK presencevia docs28/28Indexed on Context7 (glacislabs/generalised-relayer, 19 snippets). Investigated: docs 100%, sdk 0%, cli 0%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
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.
failllms.txt present, valid & comprehensivevia docs0/30No llms-full.txt was found at any candidate origin, so agents can't grab your full docs in one fetch. Investigated: docs 0%.
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.
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 docs0 pass1 warn1 fail46F
SignalPointsFindingsRationale
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.
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.
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.
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 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.
Resources Discovered

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

Agent hintsContext7 (19)
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