Agentic Data Intelligence website screenshot

Agentic Data Intelligence

Agentic Data Intelligence SA (ADI) is a Swiss-headquartered startup building the control plane for AI data analytics: a thin semantics-and-control layer that sits between AI agents and data. ADI automatically generates machine-readable semantics and an enforceable contract (rules) that governs how copilots and agents conduct data analysis, improving governance, accuracy, and consistency while lowering inference cost. It never sees the underlying data, generating the contract from schema and context and running analysis locally. The Starter Edition targets coding agents and IDEs (Claude Code, Cursor, Manus) delivered via SKILL.md files, plugins, and MCP Servers; the Enterprise Edition extends cloud data warehouses (Snowflake, Databricks, dbt). Backed by Electric Capital and supporting the Open Semantic Interchange (OSI) initiative. Currently in limited alpha, accepting first partners via a waitlist.

Agentic Data Intelligence is profiled on the APIs.io network. Tagged areas include Company, Ai, Data Analytics, Agents, and MCP.

Agentic Data Intelligence’s developer surface includes engineering blog, signup flow, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub
16.1/100 emerging ▬ flat Agent 7/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessApproval
0 APIs
CompanyAiData AnalyticsAgentsMCPAgent SkillsSemanticsData GovernanceSemantic LayerData Intelligence

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 16.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 7/100 · 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 4 / 4
Consent & Bot Identity 3 / 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/agentic-data-intelligence: 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.

Agentic Data Intelligence Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Data Intelligence Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp
SignUp

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt
 WellKnown
WellKnown

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

SecurityTxt
SecurityTxt
 VulnerabilityDisclosure
VulnerabilityDisclosure
 Security
Security
 DomainSecurity
DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: agentic-data-intelligence
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: medium
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/agentic-data-intelligence.png
name: Agentic Data Intelligence
description: 'Agentic Data Intelligence SA (ADI) is a Swiss-headquartered startup building the control plane for AI data analytics:
  a thin semantics-and-control layer that sits between AI agents and data. ADI automatically generates machine-readable semantics
  and an enforceable contract (rules) that governs how copilots and agents conduct data analysis, improving governance, accuracy,
  and consistency while lowering inference cost. It never sees the underlying data, generating the contract from schema and
  context and running analysis locally. The Starter Edition targets coding agents and IDEs (Claude Code, Cursor, Manus) delivered
  via SKILL.md files, plugins, and MCP Servers; the Enterprise Edition extends cloud data warehouses (Snowflake, Databricks,
  dbt). Backed by Electric Capital and supporting the Open Semantic Interchange (OSI) initiative. Currently in limited alpha,
  accepting first partners via a waitlist.'
url: https://raw.githubusercontent.com/api-evangelist/agentic-data-intelligence/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- electric-capital
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Ai
- Data Analytics
- Agents
- MCP
- Agent Skills
- Semantics
- Data Governance
- Semantic Layer
- Data Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://agentic-data.com/
- type: Blog
  name: Research (Substack)
  url: https://agenticdataintelligence.substack.com
- type: SignUp
  name: Early Access
  url: https://agentic-data.com/access
- type: TermsOfService
  url: https://agentic-data.com/terms
- type: PrivacyPolicy
  url: https://agentic-data.com/privacy
- type: GitHubOrganization
  url: https://github.com/agentic-data-intelligence
- type: LLMsTxt
  name: llms.txt
  url: llms/agentic-data-intelligence-llms.txt
- type: WellKnown
  url: well-known/agentic-data-intelligence-well-known.yml
- type: SecurityTxt
  url: well-known/agentic-data-intelligence-security.txt
- type: VulnerabilityDisclosure
  url: security/agentic-data-intelligence-vulnerability-disclosure.yml
- type: Security
  name: Security contact (security.txt)
  url: security/agentic-data-intelligence-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/agentic-data-intelligence-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence