Docket website screenshot

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.

Docket is profiled on the APIs.io network. Tagged areas include Company, AI Agents, Sales Enablement, Demand Generation, and Marketing Automation.

Docket’s developer surface includes engineering blog, pricing, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
16.7/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyAI AgentsSales EnablementDemand GenerationMarketing AutomationConversational AILead QualificationGo-To-Market

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 16.7/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 9.5 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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 →

Security Posture 2

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

Docketai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Docketai Trust Center

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

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Access & Security 4

Authentication, authorization, and security posture

TrustCenter
TrustCenter
 Compliance
Compliance
 DomainSecurity
DomainSecurity
 TrustCenter
TrustCenter

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: docketai
name: Docket
description: 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.
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: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://www.docket.io/favicon.ico
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- AI Agents
- Sales Enablement
- Demand Generation
- Marketing Automation
- Conversational AI
- Lead Qualification
- Go-To-Market
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.docket.io/
- type: Blog
  url: https://www.docket.io/blog
- 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: 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: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence