Docket website screenshot

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.

41.8/100 thin ▲ 26.1 Agent 27/100 agent aware Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0
AccessPaid
1 APIs 2 MCP Servers
CompanyAI AgentsAgentic MarketingSales EnablementDemand GenerationMarketing AutomationConversational AILead QualificationGo-To-MarketMCPModel Context Protocol

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 41.8/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 10.4 / 20
Commercial Clarity 18.4 / 20
Operational Transparency 2.7 / 13
Governance 1.5 / 12
Discoverability 8.7 / 10
Agent readiness — 27/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

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.

docketai-mcp.yml

MCP SERVER

mcp

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

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

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

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 6

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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
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: '0.20'
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
- 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
  - 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