DataMind website screenshot

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.

17.0/100 emerging ▬ flat Agent 4/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs 1 MCP Servers
CompanyDataAnalyticsETLBusiness IntelligenceData IntegrationData WarehouseArtificial IntelligenceConnectorsData Platform

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/datamind: 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 →

MCP Servers 1

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

Security Posture 1

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Datamind Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Access & Security 1

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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
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
specificationVersion: '0.23'
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

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