DataGrail is a San Francisco-based data privacy platform founded in 2018 by Daniel Barber and Ignacio Zendejas that helps enterprises automate privacy operations and manage regulatory compliance risk across GDPR, CCPA, and other global privacy regimes. The platform combines a Live Data Map for real-time visibility into where personal data lives across an organization's SaaS and cloud footprint, a Request Manager for orchestrating Data Subject Requests (access, deletion, opt-out) across thousands of downstream systems, a Consent solution for cookie and tracker compliance with automated enforcement, a Risk Management module for privacy and AI risk assessments (PIA, DPIA, AI risk), and an embedded agentic AI named Vera that surfaces context-aware recommendations across the platform. DataGrail exposes a documented public REST API at /api/v2 covering authentication, assessments, privacy requests, opt-out requests, integrations, webhooks, integration files, and consent audit logs, alongside an open-source ecosystem on GitHub that includes mobile Consent SDKs for iOS and Android, a Google Tag Manager consent template, and a Terraform AWS ECS module for deploying Request Manager Agents. The company serves enterprise customers including Salesforce, HubSpot, Okta, Netgear, and Dexcom, advertises 2,000+ pre-built integrations across CRM, marketing, communications, HR, data, e-commerce, and support platforms, holds patents on its Live Data Map and Smart Verification technology, is SOC 2 and ISO certified, and is backed by Felicis Ventures, HubSpot Ventures, Okta Ventures, Basis Set Ventures, Cloud Apps Capital, Operator Collective, Thomson Reuters Ventures, and Third Point Ventures.
DataGrail is profiled on the APIs.io network. Tagged areas include Privacy, Privacy Operations, Compliance, GDPR, and CCPA.
DataGrail’s developer surface includes documentation, API reference, status page, changelog, engineering blog, GitHub presence, support, and 9 more developer resources.
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.
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applicability map is public and we will correct it.
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.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
15. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 85% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
Machine-Readable Auth+10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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)
Stable Error Semantics+8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card+8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
12 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
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.
aid: datagrail
name: DataGrail
description: DataGrail is a San Francisco-based data privacy platform founded in 2018 by Daniel Barber and Ignacio Zendejas
that helps enterprises automate privacy operations and manage regulatory compliance risk across GDPR, CCPA, and other global
privacy regimes. The platform combines a Live Data Map for real-time visibility into where personal data lives across an
organization's SaaS and cloud footprint, a Request Manager for orchestrating Data Subject Requests (access, deletion, opt-out)
across thousands of downstream systems, a Consent solution for cookie and tracker compliance with automated enforcement,
a Risk Management module for privacy and AI risk assessments (PIA, DPIA, AI risk), and an embedded agentic AI named Vera
that surfaces context-aware recommendations across the platform. DataGrail exposes a documented public REST API at /api/v2
covering authentication, assessments, privacy requests, opt-out requests, integrations, webhooks, integration files, and
consent audit logs, alongside an open-source ecosystem on GitHub that includes mobile Consent SDKs for iOS and Android,
a Google Tag Manager consent template, and a Terraform AWS ECS module for deploying Request Manager Agents. The company
serves enterprise customers including Salesforce, HubSpot, Okta, Netgear, and Dexcom, advertises 2,000+ pre-built integrations
across CRM, marketing, communications, HR, data, e-commerce, and support platforms, holds patents on its Live Data Map and
Smart Verification technology, is SOC 2 and ISO certified, and is backed by Felicis Ventures, HubSpot Ventures, Okta Ventures,
Basis Set Ventures, Cloud Apps Capital, Operator Collective, Thomson Reuters Ventures, and Third Point Ventures.
type: Index
deliveryModel:
model: unknown
open_source: false
commercial: false
callable_host: false
label: Delivery model not determined — needs a product licence on record
confidence: low
source:
- none
generated: '2026-08-28'
method: derived
accessModel:
pricing: unknown
onboarding: unknown
trial: false
try_now: false
public: false
label: Unknown
confidence: low
source:
- security
generated: '2026-11-06'
method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/datagrail.png
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-25
x-docs-hosting: github-pages
tags:
- Privacy
- Privacy Operations
- Compliance
- GDPR
- CCPA
- DSAR
- DSR
- Consent Management
- Cookie Compliance
- Risk Management
- Privacy Impact Assessments
- DPIA
- AI Risk
- Data Mapping
- Data Discovery
- Software-as-a-Service
- Enterprise
tags_raw:
- Privacy
- Data Privacy
- Privacy Operations
- Compliance
- GDPR
- CCPA
- Data Subject Requests
- DSR
- Consent Management
- Cookie Compliance
- Risk Management
- Privacy Impact Assessments
- DPIA
- AI Risk
- Data Mapping
- Data Discovery
- SaaS
- Enterprise
url: https://raw.githubusercontent.com/api-evangelist/datagrail/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
url: security/datagrail-domain-security.yml
- type: Website
url: https://www.datagrail.io
- type: About
url: https://www.datagrail.io/about/
- type: Documentation
url: https://docs.datagrail.io
- type: APIReference
url: https://docs.datagrail.io/api/v2
- type: Integrations
url: https://www.datagrail.io/integrations/
- type: Security
url: https://www.datagrail.io/security/
- type: TrustCenter
url: https://www.datagrail.io/trust-center/
- type: Status
url: https://status.datagrail.io/
- type: ChangeLog
url: https://docs.datagrail.io/changelog
- type: Blog
url: https://www.datagrail.io/blog/
- type: GitHub
url: https://github.com/datagrail
- type: Careers
url: https://www.datagrail.io/careers/
- type: Contact
url: https://www.datagrail.io/contact/
- type: Support
url: mailto:support@datagrail.io
- type: LinkedIn
url: https://www.linkedin.com/company/datagrail
- type: Twitter
url: https://twitter.com/data_grail
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
DataGrail API — frequently asked questions
Does DataGrail have an MCP server?
Yes. APIs.io lists 1 MCP server for DataGrail: Remote MCP server at acme.datagrail.io over HTTP.
Is the DataGrail API ready for AI agents?
DataGrail has a Kin Score of 15.0 out of 100 (emerging) and an Agent Readiness score of 8.6 (agent-aware), scored by API Evangelist on 2026-11-06.
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