Databook website screenshot

Databook

Databook is an AI-powered decision system for enterprise sales teams, combining verified market intelligence with structured reasoning to give sellers visibility into their largest deals. The platform pairs an "Outside-In Radar" of signals beyond the CRM with an advanced reasoning engine, a dynamic Customer Context Graph modeling every buying group, guided sales agents tuned to specific KPIs, a CRO dashboard for leadership, and a Value Coach for executive narratives. It serves enterprise revenue organizations across cloud, cybersecurity, managed services, and software. Databook is a portfolio company of Bessemer Venture Partners and Threshold Ventures. It publishes a machine-readable REST API — the DatabookAI REST API, OpenAPI 3.1.0 at https://api.databook.com/openapi.json — exposing a catalog of 66 account-research insights, asynchronous CSV batch jobs that run those insights across many target accounts, a threaded chat endpoint, and a deep-reasoning endpoint that returns cited, structured analysis. Access is not self-serve: bearer tokens are provisioned by Databook support.

Databook publishes 1 API on the APIs.io network: DatabookAI REST API. Tagged areas include Company, Vertical Software, Sales Intelligence, Account Intelligence, and Sales Enablement.

Databook’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, authentication, and 21 more developer resources.

46.1/100 developing ▲ 31.4 Agent 49/100 agent ready Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0
AccessApproval
1 APIs
CompanyVertical SoftwareSales IntelligenceAccount IntelligenceSales EnablementEnterprise SalesArtificial IntelligenceRevenue OperationsREST APIOpenAPIBatch ProcessingAgentsReasoningCompany Data

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 46.1/100 · developing
Contract Quality 12.9 / 25
Developer Ergonomics 11.7 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 1.4 / 13
Governance 2.5 / 12
Discoverability 7.6 / 10
Agent readiness — 49/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 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 5 / 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/databook: 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.

DatabookAI REST API

REST API for integrating Databook's account intelligence into other applications. Eight operations across four groups: an insight catalog (66 catalogued analytical questions abo...

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Databook Rate Limits

0 limits

RATE LIMITS

Security Posture 4

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

Databook Authentication

http · 1 scheme

SECURITY

Databook Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Databook Vulnerability Disclosure

Hackerone · security.txt · contact published

SECURITY

Databook Trust Center

SOC 2 Type 2, NIST 800-171, GDPR, CCPA

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Databook Agentic Access

8 operations · 3 acting

8 operations · 3 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Access & Security 6

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: databook
name: Databook
description: 'Databook is an AI-powered decision system for enterprise sales teams, combining verified market intelligence
  with structured reasoning to give sellers visibility into their largest deals. The platform pairs an "Outside-In Radar"
  of signals beyond the CRM with an advanced reasoning engine, a dynamic Customer Context Graph modeling every buying group,
  guided sales agents tuned to specific KPIs, a CRO dashboard for leadership, and a Value Coach for executive narratives.
  It serves enterprise revenue organizations across cloud, cybersecurity, managed services, and software. Databook is a portfolio
  company of Bessemer Venture Partners and Threshold Ventures. It publishes a machine-readable REST API — the DatabookAI REST
  API, OpenAPI 3.1.0 at https://api.databook.com/openapi.json — exposing a catalog of 66 account-research insights, asynchronous
  CSV batch jobs that run those insights across many target accounts, a threaded chat endpoint, and a deep-reasoning endpoint
  that returns cited, structured analysis. Access is not self-serve: bearer tokens are provisioned by Databook support.'
url: https://raw.githubusercontent.com/api-evangelist/databook/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bessemer-venture-partners
- threshold-ventures
x-tier: enriched
x-tier-reason: published-openapi
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: high
  source:
  - authentication
  - plans
  generated: '2026-08-13'
  method: derived
  note: 'Confirmed by the provider''s own API reference: "Access is provisioned by Databook support, who issue the credentials
    your application uses to authenticate." No pricing page, no self-serve signup, no free tier, no sandbox.'
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-08-13'
image: https://storage.googleapis.com/gpt-engineer-file-uploads/rfjG12z2plW0k4X3iSgJgycEVfj1/social-images/social-1779217719891-Databook_Preview_Home.webp
tags:
- Company
- Vertical Software
- Sales Intelligence
- Account Intelligence
- Sales Enablement
- Enterprise Sales
- Artificial Intelligence
- Revenue Operations
- REST API
- OpenAPI
- Batch Processing
- Agents
- Reasoning
- Company Data
apis:
- name: DatabookAI REST API
  description: 'REST API for integrating Databook''s account intelligence into other applications. Eight operations across
    four groups: an insight catalog (66 catalogued analytical questions about a target company, each with a stable UUID),
    asynchronous batch jobs that run those insights over a CSV of target accounts and return results as an S3 file, a threaded
    chat endpoint, and a deep-reasoning endpoint that runs a named Databook agent and returns a response with citations and
    metadata. Authentication is a bearer token issued by Databook support plus databook-user-id and databook-tenant-id identity
    headers. Any single call is cut off at 180 seconds; longer work belongs on the batch endpoints. No webhooks, no pagination,
    no idempotency keys.'
  humanURL: https://api.databook.com/redoc
  baseURL: https://api.databook.com
  tags:
  - Sales Intelligence
  - Account Intelligence
  - Artificial Intelligence
  - REST API
  - OpenAPI
  - Batch Processing
  - Reasoning
  properties:
  - type: OpenAPI
    url: openapi/databook-openapi-original.json
  - type: OpenAPI
    url: https://api.databook.com/openapi.json
  - type: Documentation
    url: https://api.databook.com/redoc
  - type: APIReference
    url: https://api.databook.com/redoc
  - type: GettingStarted
    url: https://api.databook.com/redoc#section/Getting-started
  - type: Authentication
    url: authentication/databook-authentication.yml
  - type: Conventions
    url: conventions/databook-conventions.yml
  - type: ErrorCatalog
    url: errors/databook-problem-types.yml
  - type: DataModel
    url: data-model/databook-data-model.yml
  - type: RateLimits
    url: rate-limits/databook-rate-limits.yml
  - type: Lifecycle
    url: lifecycle/databook-lifecycle.yml
  - type: Overlay
    url: overlays/databook-openapi-overlay.yaml
  - type: AgenticAccess
    url: agentic-access/databook-agentic-access.yml
  - type: AgentSkill
    url: skills/_index.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://databook.com/
- type: DeveloperPortal
  url: https://api.databook.com/
- type: Documentation
  url: https://api.databook.com/redoc
- type: APIReference
  url: https://api.databook.com/redoc
- type: GettingStarted
  url: https://api.databook.com/redoc#section/Getting-started
- type: Blog
  url: https://databook.com/resources
- type: Support
  url: https://databook.com/contact
- type: TermsOfService
  url: https://databook.com/terms
- type: PrivacyPolicy
  url: https://databook.com/privacy
- type: Login
  url: https://chat.databook.com
- type: Security
  url: https://databook.com/security
- type: Compliance
  url: https://databook.com/security
- type: TrustCenter
  url: https://trust.databook.com/
- type: VulnerabilityDisclosure
  url: security/databook-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/databook-domain-security.yml
- type: Conformance
  url: conformance/databook-conformance.yml
- type: Authentication
  url: authentication/databook-authentication.yml
- type: Conventions
  url: conventions/databook-conventions.yml
- type: ErrorCatalog
  url: errors/databook-problem-types.yml
- type: DataModel
  url: data-model/databook-data-model.yml
- type: RateLimits
  url: rate-limits/databook-rate-limits.yml
- type: Plans
  url: plans/databook-plans-pricing.yml
- type: Lifecycle
  url: lifecycle/databook-lifecycle.yml
- type: AgenticAccess
  url: agentic-access/databook-agentic-access.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/databook-llms.txt
- type: Overlay
  url: overlays/databook-openapi-overlay.yaml
x-pointers-deliberately-omitted:
  note: Artifacts written this pass that record an ABSENCE, and therefore carry no common[] pointer. A pointer asserts the
    provider serves the surface; these probes prove it does not.
  omitted:
  - type: MCPServer
    artifact: mcp/databook-mcp.yml
    reason: Databook ships no MCP server. mcp/databook-mcp.yml is a DERIVED candidate tool list (deployment.mode = none) mapped
      onto real operationIds. mcp.databook.com does not resolve; /mcp, /sse and /v1/mcp all 404 on api.databook.com.
  - type: WellKnown
    artifact: well-known/databook-well-known.yml
    reason: every /.well-known/ path returned 404 on both api.databook.com and databook.com
  - type: SecurityTxt
    reason: no RFC 9116 security.txt served on any host (404)
  - type: SDKs
    artifact: packages/databook-packages.yml
    reason: no first-party client library exists in npm, PyPI or any other registry
  - type: Packages
    artifact: packages/databook-packages.yml
    reason: package_count is 0 — the file records the absence
  - type: StatusPage
    reason: status.databook.com exists but returns HTTP 403 behind Cloudflare Access — customers only, not a page the public
      can read
  - type: Deprecation
    reason: no deprecation policy and no RFC 8594 Sunset/Deprecation header support
  - type: Idempotency
    reason: no idempotency key or retry-safety contract on any write operation
  - type: AgentCard
    reason: /.well-known/agent-card.json and /.well-known/agent.json 404 on every real host
  - type: Pricing
    reason: no pricing page exists; sitemap.xml has no /pricing and the motion is contact-sales
  - type: ChangeLog
    reason: no dated API changelog or release notes
  - type: GitHubOrganization
    reason: github.com/databook exists but has 0 public repos and no attribution to DatabookAI; ownership could not be established
x-enrichment:
  date: '2026-08-13'
  status: enriched
  artifacts_added: 20
  pass: local-v1