Docket

Docket (docket.io, formerly Docket AI on docketai.com) is an Agentic Marketing platform for B2B revenue teams. Its AI Marketing Agent engages inbound website visitors in real voice or text conversations, answers from approved product knowledge, qualifies intent in real time and produces an Agent Qualified Lead (AQL) with full conversation context. The governed Sales Knowledge Lake ingests 100+ data sources — CRM records, Gong calls, Slack, Google Drive, Notion, SharePoint, Intercom and product documentation — and the agent supports 40+ languages. Docket deploys as a per-agent JavaScript snippet with no engineering work, and syncs to the go-to-market stack through native Salesforce, HubSpot, Marketo, Microsoft Dynamics 365, Demandbase, Zoom and Google Calendar connectors. Docket publishes NO public REST API and no OpenAPI, but it does ship two real developer surfaces: the Docket Demand MCP server, a hosted read-only remote MCP endpoint at demand-mcp.app.docketai.com/mcp secured by OAuth 2.0 with dynamic client registration; and the window.AISeller browser JavaScript API for passing visitor context into an agent. The company raised a $15M Series A and is backed by Mayfield.

Docket publishes 1 API on the APIs.io network. Tagged areas include Company, AI Agents, Agentic Marketing, Sales Enablement, and Demand Generation.

Docket’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, authentication, and 22 more developer resources.

🌐 Visit website 📡 Source on GitHub

37.8/100 thin ▬ flat Agent 28/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessPaid

1 APIs 2 MCP Servers

Company AI AgentsAgentic MarketingSales Enablement Demand Generation Marketing Automation Conversational AI Lead Qualification Go-To-Market MCP

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 37.8/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 9.5 / 20

Access Clarity 17.1 / 20

Operational Transparency 1.4 / 13

Contract Governance 2.2 / 12

Discoverability 7.6 / 10

Agent readiness — 28/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/docketai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Docket Demand MCP

Docket's hosted, read-only remote Model Context Protocol server. It exposes Demand Capture Agents and their performance, captured visitors and leads, engaged accounts, conversat...

MCP Servers 2

Model Context Protocol servers that expose these APIs to AI agents.

Docket Demand MCP

MCP SERVER

Docket MCP Server

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Docketai Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Docketai Rate Limits

0 limits

RATE LIMITS

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Docketai Authentication

oauth2 · 1 scheme

SECURITY

Docketai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Docketai Trust Center

SOC 2 Type 1, SOC 2 Type 2, ISO 27001, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Docketai Scopes

4 scopes · authorizationCode/deviceCode

4 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

Components

ErrorCatalog

Lifecycle

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 6

Authentication, authorization, and security posture

Authentication

OAuthScopes

TrustCenter

Compliance

DomainSecurity

TrustCenter

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: docketai
name: Docket
description: 'Docket (docket.io, formerly Docket AI on docketai.com) is an Agentic Marketing platform for B2B revenue teams.
  Its AI Marketing Agent engages inbound website visitors in real voice or text conversations, answers from approved product
  knowledge, qualifies intent in real time and produces an Agent Qualified Lead (AQL) with full conversation context. The
  governed Sales Knowledge Lake ingests 100+ data sources — CRM records, Gong calls, Slack, Google Drive, Notion, SharePoint,
  Intercom and product documentation — and the agent supports 40+ languages. Docket deploys as a per-agent JavaScript snippet
  with no engineering work, and syncs to the go-to-market stack through native Salesforce, HubSpot, Marketo, Microsoft Dynamics
  365, Demandbase, Zoom and Google Calendar connectors. Docket publishes NO public REST API and no OpenAPI, but it does ship
  two real developer surfaces: the Docket Demand MCP server, a hosted read-only remote MCP endpoint at demand-mcp.app.docketai.com/mcp
  secured by OAuth 2.0 with dynamic client registration; and the window.AISeller browser JavaScript API for passing visitor
  context into an agent. The company raised a $15M Series A and is backed by Mayfield.'
url: https://raw.githubusercontent.com/api-evangelist/docketai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- mayfield
x-tier: enriched
x-tier-reason: hosted-mcp-server-and-documented-developer-apis
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: sales
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - https://www.docket.io/pricing
  generated: '2026-08-13'
  method: searched
image: https://www.docket.io/favicon.ico
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-13'
tags:
- Company
- AI Agents
- Agentic Marketing
- Sales Enablement
- Demand Generation
- Marketing Automation
- Conversational AI
- Lead Qualification
- Go-To-Market
- MCP
tags_raw:
- Company
- AI Agents
- Agentic Marketing
- Sales Enablement
- Demand Generation
- Marketing Automation
- Conversational AI
- Lead Qualification
- Go-To-Market
- MCP
- Model Context Protocol
apis:
- name: Docket Demand MCP
  description: Docket's hosted, read-only remote Model Context Protocol server. It exposes Demand Capture Agents and their
    performance, captured visitors and leads, engaged accounts, conversation summaries with qualification status, pain points
    and next steps, and transcripts and recordings where the authorizing user's Docket permissions allow. Transport is Streamable
    HTTP; authorization is OAuth 2.0 (authorization code with PKCE S256, device code, refresh tokens, dynamic client registration)
    against a WorkOS AuthKit issuer, and the connection inherits the workspace and permissions of the Docket user who authorizes
    it. The server cannot create, change or delete data. The live tools/list call is auth-gated, so tool names and input schemas
    require authenticated introspection.
  humanURL: https://help.docket.io/articles/8225942528-connect-docket-demand-mcp
  baseURL: https://demand-mcp.app.docketai.com/mcp
  tags:
  - MCP
  - Demand Generation
  - Analytics
  - Conversational AI
  tags_raw:
  - MCP
  - Model Context Protocol
  - Demand Generation
  - Analytics
  - Conversational AI
  properties:
  - type: MCPServer
    url: mcp/docketai-mcp.yml
  - type: MCPServer
    url: https://demand-mcp.app.docketai.com/mcp
  - type: Documentation
    url: https://help.docket.io/articles/8225942528-connect-docket-demand-mcp
  - type: Authentication
    url: authentication/docketai-authentication.yml
  - type: OAuthScopes
    url: scopes/docketai-scopes.yml
  - type: ErrorCatalog
    url: errors/docketai-problem-types.yml
  - type: WellKnown
    url: well-known/docketai-well-known.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.docket.io/
- type: Documentation
  url: https://help.docket.io/
- type: APIReference
  url: https://help.docket.io/articles/9442251006-using-the-aiseller-javascript-api
- type: GettingStarted
  url: https://help.docket.io/articles/5098230267-getting-started-with-docket-marketing-agent
- type: Support
  url: https://help.docket.io/
- type: Blog
  url: https://www.docket.io/blog
- type: GitHubOrganization
  url: https://github.com/DocketAI
- type: StatusPage
  url: https://status.docket.io/
- type: Login
  url: https://app.docketai.com/
- type: Pricing
  url: https://www.docket.io/pricing
- type: TermsOfService
  url: https://www.docket.io/terms-and-conditions
- type: PrivacyPolicy
  url: https://www.docket.io/privacy-policy
- type: Integrations
  url: https://www.docket.io/integrations
- type: LLMsTxt
  url: llms/docketai-llms.txt
- type: LLMsTxt
  url: llms/docketai-help-center-llms.txt
- type: MCPServer
  url: mcp/docketai-mcp.yml
- type: WellKnown
  url: well-known/docketai-well-known.yml
- type: Authentication
  url: authentication/docketai-authentication.yml
- type: OAuthScopes
  url: scopes/docketai-scopes.yml
- type: Conventions
  url: conventions/docketai-conventions.yml
- type: Components
  url: components/docketai-components.yml
- type: ErrorCatalog
  url: errors/docketai-problem-types.yml
- type: Lifecycle
  url: lifecycle/docketai-lifecycle.yml
- type: Conformance
  url: conformance/docketai-conformance.yml
- type: Plans
  url: plans/docketai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/docketai-rate-limits.yml
- type: TrustCenter
  url: https://security.docketai.com/
- type: Compliance
  url: https://www.docket.io/platform/security-and-trust
- type: DomainSecurity
  url: security/docketai-domain-security.yml
- type: TrustCenter
  url: security/docketai-trust-center.yml
x-enrichment:
  date: '2026-08-13'
  status: enriched
  artifacts_added: 15
  pass: local-v1

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