Divebell

Divebell is a cloud-native data privacy and security compliance platform that helps organizations discover, classify, and protect sensitive data and personally identifiable information (PII) across their data sources. The platform pairs continuous, intelligent data scanning with "Deep Automation" to deliver four capability areas: Data Discovery (data classification, data mapping, and access management), Compliance Automation (risk assessment, data retention, and regulatory compliance), DSR Fulfillment (data subject request workflows, subject mapping, and automated retrieval), and Risk Protection (a policy engine, "Risk Sonar," and remediation actions). Delivered as a lightweight modern SaaS with private data processing, Divebell protects customer data across sources such as Snowflake and AWS. Divebell was surfaced as a portfolio company of Uncork Capital and is now part of the Exterro family, operating as Exterro Data Discovery.

Divebell is profiled on the APIs.io network. Tagged areas include Company, Data Privacy, Data Discovery, Data Classification, and PII.

Divebell’s developer surface includes engineering blog and 5 more developer resources.

9.4/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyData PrivacyData DiscoveryData ClassificationPIIComplianceData Subject RequestsRisk ManagementData SecurityData Governance

Kin Score

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

Security Posture 1

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

Resources

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: divebell
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: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/divebell.png
name: Divebell
description: 'Divebell is a cloud-native data privacy and security compliance platform that helps organizations discover,
  classify, and protect sensitive data and personally identifiable information (PII) across their data sources. The platform
  pairs continuous, intelligent data scanning with "Deep Automation" to deliver four capability areas: Data Discovery (data
  classification, data mapping, and access management), Compliance Automation (risk assessment, data retention, and regulatory
  compliance), DSR Fulfillment (data subject request workflows, subject mapping, and automated retrieval), and Risk Protection
  (a policy engine, "Risk Sonar," and remediation actions). Delivered as a lightweight modern SaaS with private data processing,
  Divebell protects customer data across sources such as Snowflake and AWS. Divebell was surfaced as a portfolio company of
  Uncork Capital and is now part of the Exterro family, operating as Exterro Data Discovery.'
url: https://raw.githubusercontent.com/api-evangelist/divebell/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- uncork-capital
x-tier: stub
x-tier-reason: portfolio-lead
x-acquired-by: exterro
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Data Privacy
- Data Discovery
- Data Classification
- PII
- Compliance
- Data Subject Requests
- Risk Management
- Data Security
- Data Governance
apis: []
common:
- type: DomainSecurity
  url: security/divebell-domain-security.yml
- type: Website
  url: https://www.divebell.com
  name: Divebell Website
- type: Blog
  url: https://www.divebell.com/blog
  name: Divebell Blog
- type: StatusPage
  url: https://status.divebell.com
  name: Exterro Data Discovery Status (Divebell)
- type: Login
  url: https://app.divebell.com
  name: Divebell Application Login
- type: LLMsTxt
  url: llms/divebell-llms.txt
  name: llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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