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 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.6/100 thin ▲ 7.9 Agent 4/100 human only Front door AI 3/6 light saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs 1 MCP Servers

Company Data Analytics ETL Business Intelligence Data Integration Data Warehouse Artificial Intelligence Connectors Data Platform

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 29.6/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 6.1 / 17

Access Clarity 13.0 / 17

Operational Transparency 1.7 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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. If this regime is wrong for your business, say so on your provider repo — the 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 Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 35.7 — up to +12.9 composite points
Contract Governance scores 0.0 — up to +12.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/datamind/apis.yml: open an issue on github.com/api-evangelist/datamind to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

MCP Servers 1

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

Unistream MCP server (Claude Desktop connector)

MCP SERVER

DataMind API pricing

Prices published by DataMind, read 2026-10-07 from datamind.ge/pricing.

Plan	Price
Essentials	$899/month Includes: 8 vCPU, 32GB RAM; 1TB Premium SSD, 128K IOPS; Data Lake only; 50 Pre-built connectors; 1 AI Mind; Up
Plus	$3,999/month Includes: 16 vCPU, 64GB RAM; 3TB Premium SSD, 256K IOPS; Data Lake & Warehouse; 60 connectors; 10 AI Minds; Up
Premium	$5,499/month Includes: 32 vCPU, 128GB RAM; 15TB Premium SSD, 512K IOPS; Lake, Warehouse & Marts; 100+ connectors; Unlimited
Enterprise	Custom Pricing Includes: Everything in Premium; On-Premise Deployment option; Custom Infrastructure; SSO; Jira/Clickup; Custo

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Datamind Plans Pricing

4 plans

PLANS

Security Posture 1

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

Datamind Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

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 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

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
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  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
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-09-25
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: Plans
  url: plans/datamind-plans-pricing.yml
- 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

DataMind API — frequently asked questions

How much does the DataMind API cost?

DataMind publishes its prices; its Essentials plan is $899/month as of 2026-10-07. APIs.io lists 4 pricing plans for DataMind, with each plan's price, limits and inclusions under Pricing on this page.

Does DataMind have an MCP server?

Yes. APIs.io lists 1 MCP server for DataMind.

Is the DataMind API ready for AI agents?

DataMind has a Kin Score of 29.6 out of 100 (thin) and an Agent Readiness score of 3.5 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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Every operation they expose

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