DataMind

DataMind is the company behind Unistream, an enterprise-grade data platform that simplifies complex data processing while adding agentic AI capabilities. Unistream unifies fragmented data across systems with 600+ pre-built connectors, automated data-lake and data-warehouse creation with schema detection, AI-powered ETL and transformation, and an integrated BI system with interactive dashboards, a browser-based SQL editor, and AI-driven query generation. Its agentic "AI Data Minds" run complex analysis and assisted data cleansing, and a built-in MCP server exposes read-only querying, schema exploration, and Mind interactions to agents such as Claude Desktop. Built on ClickHouse with high compression, it offers RBAC, multi-level encryption, a Zero Data Retention policy, GDPR compliance, a 99.9% SLA, and on-premise deployment. DataMind is backed by 500 Global and based in Georgia.

DataMind is profiled on the APIs.io network. Tagged areas include Company, Data, Analytics, ETL, and Business Intelligence.

DataMind’s developer surface includes documentation, getting-started guide, pricing, signup flow, support, engineering blog, changelog, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

26.4/100 emerging ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs 1 MCP Servers

CompanyDataAnalyticsETLBusiness IntelligenceData IntegrationData WarehouseArtificial IntelligenceConnectorsData Platform

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 26.4/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 8.7 / 20

Commercial Clarity 8.9 / 20

Operational Transparency 2.1 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 12/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 12 / 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 0 / 4

Consent & Bot Identity 0 / 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/datamind: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: datamind
name: DataMind
description: DataMind is the company behind Unistream, an enterprise-grade data platform that simplifies complex data processing
  while adding agentic AI capabilities. Unistream unifies fragmented data across systems with 600+ pre-built connectors, automated
  data-lake and data-warehouse creation with schema detection, AI-powered ETL and transformation, and an integrated BI system
  with interactive dashboards, a browser-based SQL editor, and AI-driven query generation. Its agentic "AI Data Minds" run
  complex analysis and assisted data cleansing, and a built-in MCP server exposes read-only querying, schema exploration,
  and Mind interactions to agents such as Claude Desktop. Built on ClickHouse with high compression, it offers RBAC, multi-level
  encryption, a Zero Data Retention policy, GDPR compliance, a 99.9% SLA, and on-premise deployment. DataMind is backed by
  500 Global and based in Georgia.
url: https://raw.githubusercontent.com/api-evangelist/datamind/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
image: https://unistream.cloud/lovable-uploads/d61db35a-0411-48a6-9768-2d4a28f0e56c.png
tags:
- Company
- Data
- Analytics
- ETL
- Business Intelligence
- Data Integration
- Data Warehouse
- Artificial Intelligence
- Connectors
- Data Platform
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://datamind.ge
- type: DeveloperPortal
  url: https://docs.unistream.cloud
- type: Documentation
  url: https://docs.unistream.cloud
- type: GettingStarted
  url: https://docs.unistream.cloud/getting-started
- type: Pricing
  url: https://datamind.ge/pricing
- type: SignUp
  url: https://datamind.ge/get-started
- type: Support
  url: https://datamind.ge/contact
- type: TermsOfService
  url: https://datamind.ge/terms
- type: PrivacyPolicy
  url: https://datamind.ge/privacy
- type: Blog
  url: https://datamind.ge/blog
- type: ChangeLog
  name: Unistream release notes
  url: changelog/datamind-changelog.yml
- type: MCPServer
  name: Unistream MCP server (Claude Desktop connector)
  url: mcp/datamind-mcp.yml
- type: LLMsTxt
  name: Unistream docs llms.txt
  url: llms/datamind-llms.txt
- type: DomainSecurity
  name: Domain security probe
  url: security/datamind-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence