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 5 API contracts indexed on the APIs.io network, including batch - create API, batch - query API, Chat API, and 2 more. Tagged areas include Company, Vertical Software, Sales Intelligence, Account Intelligence, and Sales Enablement.

The Databook catalog on APIs.io includes 1 Spectral governance ruleset.

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

🌐 Visit website📡 Profile data on GitHub
48.0/100 developing ▲ 10.4 Agent 29/100 agent ready Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
1 published contract 2 Agent Skills
CompanyVertical SoftwareSales IntelligenceAccount IntelligenceSales EnablementEnterprise SalesArtificial IntelligenceRevenue OperationsREST APIOpenAPIBatch ProcessingAgentsReasoningCompany DataData PlatformBusiness Intelligence

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
Composite quality — 48.0/100 · developing
Contract Quality 9.8 / 19
Developer Ergonomics 8.8 / 15
Access Clarity 6.5 / 15
Operational Transparency 1.0 / 10
Contract Governance 2.9 / 9
Discoverability 5.5 / 8
Regulatory Posture 4.9 / 15
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 29/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 0 / 6
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
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Pagination 5 / 5
Distinct Operations 3 / 3
MCP Tool Quality 6 / 6
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site. Kin Score badge preview for Databook It updates itself when the score changes. Paste this where you link to your API docs: 
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Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
  • MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
  • Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
  • Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
  • Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
7 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
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 the provider profile at artifacts.apis.io/databook/apis.yml: open an issue on github.com/api-evangelist/databook to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI
measured — observed by APIs.io (published)

APIs 5

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

Databook batch - create API

The batch - create API from Databook — 3 operation(s) for batch - create.

Databook batch - query API

The batch - query API from Databook — 3 operation(s) for batch - query.

Databook Chat API

The chat API from Databook — 1 operation(s) for chat.

Databook Reasoning API

The reasoning API from Databook — 1 operation(s) for reasoning.

Databook Asset Studio API

The asset_studio API from Databook — 6 operation(s) for asset_studio.

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Research an account with Databook chat and deep reasoning

AGENT SKILL

Run a Databook batch insight job

AGENT SKILL

Databook API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Databook Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Databook Rate Limits

0 limits

RATE LIMITS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Databook API Rules

56 rules · 51 errors 4 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Databook Openapi Overlay

3 actions · update · databook-openapi-original.json

DERIVED

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

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 Login
Login

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess
 AgentSkill
AgentSkill
 LLMsTxt
LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance
 Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 DataModel
DataModel
 Lifecycle
Lifecycle

Access & Security 6

Authentication, authorization, and security posture

Security
Security
 Compliance
Compliance
 TrustCenter
TrustCenter
 VulnerabilityDisclosure
VulnerabilityDisclosure
 DomainSecurity
DomainSecurity
 Authentication
Authentication

Operate 2

Status, limits, changes, and where to get help

Support
Support
 RateLimits
RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy
 Plans
Plans

Company 3

The organization behind the API

Website
Website
 Blog
Blog
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

Overlay
Overlay

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
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
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
x-docs-platform: redoc
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-25
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
- Data Platform
- Business Intelligence
tags_raw:
- Company
- Vertical Software
- Sales Intelligence
- Account Intelligence
- Sales Enablement
- Enterprise Sales
- Artificial Intelligence
- Revenue Operations
- REST API
- OpenAPI
- Batch Processing
- Agents
- Reasoning
- Company Data
- Data Platform
- Business Intelligence
- APIs
- Venture-backed
apis:
- aid: databook:databook-batch-create-api
  name: Databook batch - create API
  description: The batch - create API from Databook — 3 operation(s) for batch - create.
  humanURL: https://api.databook.com/redoc
  baseURL: https://api.databook.com
  tags:
  - batch - create
  properties:
  - type: OpenAPI
    url: openapi/databook-batch-create-api-openapi.yml
  - 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: AgenticAccess
    url: agentic-access/databook-agentic-access.yml
- aid: databook:databook-batch-query-api
  name: Databook batch - query API
  description: The batch - query API from Databook — 3 operation(s) for batch - query.
  humanURL: https://api.databook.com/redoc
  baseURL: https://api.databook.com
  tags:
  - batch - query
  properties:
  - type: OpenAPI
    url: openapi/databook-batch-query-api-openapi.yml
  - 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: AgenticAccess
    url: agentic-access/databook-agentic-access.yml
- aid: databook:databook-chat-api
  name: Databook Chat API
  description: The chat API from Databook — 1 operation(s) for chat.
  humanURL: https://api.databook.com/redoc
  baseURL: https://api.databook.com
  tags:
  - Chat
  tags_raw:
  - chat
  properties:
  - type: OpenAPI
    url: openapi/databook-chat-api-openapi.yml
  - 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: AgenticAccess
    url: agentic-access/databook-agentic-access.yml
- aid: databook:databook-reasoning-api
  name: Databook Reasoning API
  description: The reasoning API from Databook — 1 operation(s) for reasoning.
  humanURL: https://api.databook.com/redoc
  baseURL: https://api.databook.com
  tags:
  - Reasoning
  tags_raw:
  - reasoning
  properties:
  - type: OpenAPI
    url: openapi/databook-reasoning-api-openapi.yml
  - 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: AgenticAccess
    url: agentic-access/databook-agentic-access.yml
- aid: databook:databook-asset-studio-api
  name: Databook Asset Studio API
  description: The asset_studio API from Databook — 6 operation(s) for asset_studio.
  humanURL: https://api.databook.com/redoc
  baseURL: https://api.databook.com
  tags: []
  tags_raw:
  - asset_studio
  properties:
  - type: OpenAPI
    url: openapi/databook-asset-studio-api-openapi.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
- type: Blog
  url: https://trydatabook.com/blog/
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

Databook API — frequently asked questions

Does Databook have an API?

Yes. APIs.io lists 5 APIs from Databook, including Databook batch - create API, Databook batch - query API and Databook Chat API, and 2 more.

Is there an OpenAPI specification for the Databook API?

Yes. APIs.io indexes 5 OpenAPI specifications for Databook, each linked for download from this page.

How do I authenticate with the Databook API?

Databook uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Databook Authentication.

Is the Databook API ready for AI agents?

Databook has a Kin Score of 48.0 out of 100 (developing) and an Agent Readiness score of 28.7 (agent-ready), scored by API Evangelist on 2026-11-06.

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