Larridin
Larridin is an enterprise AI intelligence platform that measures whether an organization's investment in AI is actually paying off across both its human and agent workforce. Its Scout product instruments AI usage through a managed browser extension and desktop agent, then joins that telemetry with source control, coding-assistant, incident, and work-tracking systems to report on AI adoption, AI fluency (proficiency), AI governance and shadow-tool risk, token spend, workflow intelligence, and Developer Intelligence — covering AI code share, velocity, quality, CI/CD delivery, reliability, agent effectiveness, agent readiness, and developer sentiment. Larridin exposes this data through the read-only Scout API v1 and a beta Model Context Protocol server for agents.
Larridin publishes 5 APIs on the APIs.io network, including Adoption API, Proficiency API, Surveys API, and 2 more. Tagged areas include Company, Artificial Intelligence, AI Adoption, AI Governance, and Analytics.
Larridin’s developer surface includes documentation, API reference, getting-started guide, quickstart, support, engineering blog, authentication, and 24 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Larridin Adoption API
Organization- and department-level AI adoption metrics.
Larridin Proficiency API
AI proficiency scoring, prompt categories, and conversation metrics. Period-based selection.
Larridin Surveys API
Survey campaigns, questions, options, and responses.
Larridin Tools API
Browser and desktop AI tool adoption, policy enforcement, and unapproved tool discovery.
Larridin Workflow Intelligence API
Clustered workflow analysis, friction, recommendations, and tool verdicts.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
larridin-mcp.yml
MCP SERVERSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
Scroll for all 7
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type