Docket
Docket (formerly Docket AI, docketai.com) is an AI-powered marketing and sales agent platform that engages website visitors in real, substantive conversations to qualify leads, book meetings, and generate pipeline without a first-touch SDR. Its Sales Knowledge Lake ingests 100+ data sources and a custom cognitive / retrieval-augmented architecture powers autonomous marketing and website-concierge agents that hold voice and text conversations in 40+ languages. Docket deploys via a JavaScript snippet ("no developer required") and syncs to the go-to-market stack through native connectors for Salesforce, HubSpot, Gong, Slack, Google Drive, Notion, SharePoint and more. The company raised a $15M Series A and is backed by Mayfield. Docket publishes no public REST API or developer portal; it is an agent-and-integration product, so this profile captures its identity, integration surface, published llms.txt, and security/compliance posture.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Docket the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Docket scores 16.7/100 (emerging), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Docket
Each block below is one kind of artifact we hold for Docket. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Docket — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 4
Authentication, authorization, and security posture
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/docketai · machine-readable index on apis.io