Kubit AI

Kubit is a warehouse-native digital analytics platform that runs product analytics directly against a customer's cloud data warehouse with no ETL, and bridges that behavioral data with LLM observability. Kubit maps clickstream behavior, intent, and sentiment onto LLM traces so teams building AI agents can debug and optimize them where they already work. Its semantic layer applies business definitions, data models, and governance policies before any query reaches the warehouse. Kubit's programmatic surface is a hosted Model Context Protocol server at mcp.kubit.ai, protected by OAuth 2.1 with PKCE, plus first-party OpenTelemetry exporters and a set of published agent skills for Claude Code and Cursor. Kubit is backed by Insight Partners.

Kubit AI is listed with 1 API on the APIs.io network. Tagged areas include Company, Analytics, Product Analytics, Data Warehouse, and LLM Observability.

Kubit AI’s developer surface includes documentation, getting-started guide, engineering blog, pricing, signup flow, support, CLI, and 25 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

40.8/100 developing ▬ flat Agent 31/100 agent ready Front door AI 5/6 prominent Heartbeat 56/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers 7 Agent Skills

Company Analytics Product Analytics Data Warehouse LLM Observability MCP Agent Analytics OpenTelemetry DevOps

Kin Score

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

Composite quality — 40.8/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 12.1 / 17

Access Clarity 9.2 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 5.9 / 15

Agent readiness — 31/100 · agent ready

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 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 5 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

7 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
Operational Transparency scores 18.4 — up to +10.6 composite points
Contract Governance scores 18.2 — up to +9.8 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/kubit-ai-inc/apis.yml: open an issue on github.com/api-evangelist/kubit-ai-inc 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 4

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 (verified)

Agent Skills

measured — observed by APIs.io (published)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Kubit MCP Server

Kubit's hosted Model Context Protocol server. Exposes five tools — getUserContext, getSchema, createReport, getRawData, and searchKubit — that let an MCP-compatible IDE or assis...

MCP Servers 1

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

KubitMCP

Remote MCP server at mcp.kubit.ai; 5 tools listed.

MCP SERVER

Agent Skills 7

Packaged agent skills for driving this provider's APIs from an AI assistant.

kubit-blame

AGENT SKILL

kubit-connect

AGENT SKILL

kubit-help

AGENT SKILL

kubit-inspect

AGENT SKILL

kubit-integrate

AGENT SKILL

kubit-report

AGENT SKILL

kubit-update

AGENT SKILL

Scroll for all 7

Security Posture 3

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

Kubit Ai Inc Authentication

3 schemes

SECURITY

Kubit Ai Inc Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Kubit Ai Inc Trust Center

enumerated, note

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Kubit Ai Inc Scopes

2 scopes

SCOPES

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

AgentSkill

WellKnown

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Components

Conventions

DataModel

Conformance

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 5

Authentication, authorization, and security posture

Authentication

OAuthScopes

Compliance

TrustCenter

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

IssueTracker

HelpCenter

Support

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: kubit-ai-inc
name: Kubit AI
description: Kubit is a warehouse-native digital analytics platform that runs product analytics directly against a customer's
  cloud data warehouse with no ETL, and bridges that behavioral data with LLM observability. Kubit maps clickstream behavior,
  intent, and sentiment onto LLM traces so teams building AI agents can debug and optimize them where they already work. Its
  semantic layer applies business definitions, data models, and governance policies before any query reaches the warehouse.
  Kubit's programmatic surface is a hosted Model Context Protocol server at mcp.kubit.ai, protected by OAuth 2.1 with PKCE,
  plus first-party OpenTelemetry exporters and a set of published agent skills for Claude Code and Cursor. Kubit is backed
  by Insight Partners.
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - kubit-ai/mcp-server
  open_source: unknown
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - security
  generated: '2026-11-06'
  method: derived
image: https://kubit.ai/wp-content/uploads/2024/04/cropped-Kubit-Social-Profile-Image-300x300.png
url: https://raw.githubusercontent.com/api-evangelist/kubit-ai-inc/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: enriched
x-tier-reason: mcp-server-and-agent-skills
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
x-docs-platform: readme
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Analytics
- Product Analytics
- Data Warehouse
- LLM Observability
- MCP
- Agent Analytics
- OpenTelemetry
- DevOps
tags_raw:
- Company
- Analytics
- Product Analytics
- Data Warehouse
- LLM Observability
- Model Context Protocol
- Agent Analytics
- OpenTelemetry
- Devops
apis:
- aid: kubit-ai-inc:mcp
  name: Kubit MCP Server
  description: Kubit's hosted Model Context Protocol server. Exposes five tools — getUserContext, getSchema, createReport,
    getRawData, and searchKubit — that let an MCP-compatible IDE or assistant explore schemas, execute reports, retrieve raw
    data, and find existing reports in the Kubit platform. Protected by OAuth 2.1 authorization code with PKCE and dynamic
    client registration, scoped mcp:read and mcp:write, with access enforced by Kubit's role-based access controls.
  humanURL: https://docs.kubit.ai/docs/mcp-server
  baseURL: https://mcp.kubit.ai/mcp
  tags:
  - MCP
  - Analytics
  - Agent Analytics
  tags_raw:
  - Model Context Protocol
  - Analytics
  - Agent Analytics
  properties:
  - type: MCPServer
    url: mcp/kubit-ai-inc-mcp.yml
  - type: Documentation
    url: https://docs.kubit.ai/docs/mcp-server
  - type: SourceCode
    url: https://github.com/Kubit-AI/mcp-server
  - type: Authentication
    url: authentication/kubit-ai-inc-authentication.yml
  - type: OAuthScopes
    url: scopes/kubit-ai-inc-scopes.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: IssueTracker
  url: https://github.com/Kubit-AI/mcp-server/issues
- type: Website
  url: https://www.kubit.ai/
- type: DeveloperPortal
  url: https://docs.kubit.ai/docs/getting-started
- type: Documentation
  url: https://docs.kubit.ai/docs/getting-started
- type: GettingStarted
  url: https://docs.kubit.ai/docs/getting-started
- type: HelpCenter
  url: https://guide.kubit.ai/article/get-started-overview
- type: Blog
  url: https://kubit.ai/company/blog
- type: GitHubOrganization
  url: https://github.com/Kubit-AI
- type: Pricing
  url: https://kubit.ai/pricing
- type: SignUp
  url: https://agent.kubit.ai/
- type: Login
  url: https://app.kubit.ai/
- type: TermsOfService
  url: https://kubit.ai/terms-of-service/
- type: PrivacyPolicy
  url: https://kubit.ai/privacy-policy/
- type: Support
  url: https://kubit.ai/about/#contact-block
- type: MCPServer
  url: mcp/kubit-ai-inc-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Packages
  url: packages/kubit-ai-inc-packages.yml
- type: SDKs
  url: packages/kubit-ai-inc-packages.yml
- type: CLI
  url: cli/kubit-ai-inc-cli.yml
- type: Components
  url: components/kubit-ai-inc-components.yml
- type: Authentication
  url: authentication/kubit-ai-inc-authentication.yml
- type: OAuthScopes
  url: scopes/kubit-ai-inc-scopes.yml
- type: WellKnown
  url: well-known/kubit-ai-inc-well-known.yml
- type: LLMsTxt
  url: llms/kubit-ai-inc-llms.txt
- type: Conventions
  url: conventions/kubit-ai-inc-conventions.yml
- type: DataModel
  url: data-model/kubit-ai-inc-data-model.yml
- type: Conformance
  url: conformance/kubit-ai-inc-conformance.yml
- type: Compliance
  url: https://kubit.ai/gdpr-compliance-policy/
- type: TrustCenter
  url: security/kubit-ai-inc-trust-center.yml
- type: DomainSecurity
  url: security/kubit-ai-inc-domain-security.yml
- type: Lifecycle
  url: lifecycle/kubit-ai-inc-lifecycle.yml
- type: ChangeLog
  url: changelog/kubit-ai-inc-changelog.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence
x-legal-name: Kubit AI, Inc.

Kubit AI API — frequently asked questions

Does Kubit AI have an API?

Yes. APIs.io lists 1 API from Kubit AI, including Kubit MCP Server.

How do I authenticate with the Kubit AI API?

Kubit AI documents its authentication (3 schemes). The details are profiled on APIs.io as Kubit Ai Inc Authentication.

Does Kubit AI have an MCP server?

Yes. APIs.io lists 1 MCP server for Kubit AI: Remote MCP server at mcp.kubit.ai; 5 tools listed.

Is the Kubit AI API ready for AI agents?

Kubit AI has a Kin Score of 40.8 out of 100 (developing) and an Agent Readiness score of 30.9 (agent-ready), 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

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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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