Tecton (Databricks)

Tecton is a feature platform (feature store) for machine learning and AI. It lets data and ML teams define feature transformations once and run them across batch, streaming, and real-time data sources, then materialize and serve those features from a low-latency online store. Features are authored in Python and managed GitOps-style via the tecton CLI and SDK, and consumed at inference time over the Feature Service HTTP API (Authorization: Tecton-key, or Service-Account OAuth). Tecton also ships an Ingest API, a Metadata API, an official MCP server, and Java/Python clients. The company was acquired by Databricks in August 2025 and its platform now powers real-time features and context serving for AI agents.

Tecton (Databricks) publishes 1 API on the APIs.io network. Tagged areas include Company, AI Infrastructure, Feature Store, Feature Platform, and Machine Learning.

Tecton (Databricks)’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, changelog, CLI, and 18 more developer resources.

🌐 Visit website 📡 Source on GitHub

35.1/100 thin ▬ flat Agent 9/100 agent aware saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

AccessSelf serve

1 APIs 1 MCP Servers

Company AI Infrastructure Feature StoreFeature PlatformMachine Learning MLOps Real-Time Databricks

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 35.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 12.1 / 17

Access Clarity 6.3 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.1 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 9/100 · agent aware

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 8 / 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

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/.

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/tecton-databricks: 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 →

APIs 1

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

Tecton HTTP API

REST API for the Tecton feature platform - the Feature Service (low-latency online feature retrieval, e.g. POST /api/v1/feature-service/get-features), the Ingest API, the Metada...

MCP Servers 1

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

Tecton (Databricks) MCP Server

MCP SERVER

Security Posture 3

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

Tecton Databricks Authentication

apiKey/oauth2 · 2 schemes

SECURITY

Tecton Databricks Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Tecton Databricks Trust Center

SOC 2, ISO 27001, GDPR

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 4

Authentication, authorization, and security posture

Compliance

Authentication

TrustCenter

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

ChangeLog

ChangeLog

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)

aid: tecton-databricks
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: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  - url: https://www.tecton.ai/
    status: 301
    note: declared website redirects to https://www.databricks.com/ — a different registrable domain (tecton.ai -> databricks.com),
      possible rename or acquisition (probed 2026-09-03, roadmap#169)
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/tecton-databricks.png
name: Tecton (Databricks)
description: 'Tecton is a feature platform (feature store) for machine learning and AI. It lets data and ML teams define feature
  transformations once and run them across batch, streaming, and real-time data sources, then materialize and serve those
  features from a low-latency online store. Features are authored in Python and managed GitOps-style via the tecton CLI and
  SDK, and consumed at inference time over the Feature Service HTTP API (Authorization: Tecton-key, or Service-Account OAuth).
  Tecton also ships an Ingest API, a Metadata API, an official MCP server, and Java/Python clients. The company was acquired
  by Databricks in August 2025 and its platform now powers real-time features and context serving for AI agents.'
url: https://raw.githubusercontent.com/api-evangelist/tecton-databricks/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bain-capital-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- AI Infrastructure
- Feature Store
- Feature Platform
- Machine Learning
- MLOps
- Real-Time
- Databricks
tags_raw:
- Company
- Ai Infrastructure
- Feature Store
- Feature Platform
- Machine Learning
- MLOps
- Real Time
- Databricks
- Machine-Learning
apis:
- name: Tecton HTTP API
  description: REST API for the Tecton feature platform - the Feature Service (low-latency online feature retrieval, e.g.
    POST /api/v1/feature-service/get-features), the Ingest API, the Metadata API, and SCIM 2.0 provisioning. Authenticated
    with an Authorization Tecton-key header or a Service-Account OAuth access token. The runtime host is per-deployment (https://<deployment>.tecton.ai);
    see the HTTP API reference.
  humanURL: https://docs.tecton.ai/http-api
  baseURL: https://docs.tecton.ai
  properties:
  - type: APIReference
    url: https://docs.tecton.ai/http-api
  - type: Authentication
    url: authentication/tecton-databricks-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.tecton.ai/
- type: DeveloperPortal
  url: https://docs.tecton.ai/
- type: Documentation
  url: https://docs.tecton.ai/
- type: APIReference
  url: https://docs.tecton.ai/http-api
- type: GettingStarted
  url: https://docs.tecton.ai/docs/tutorials/tecton-quick-start
- type: Blog
  url: https://www.tecton.ai/blog/
- type: GitHubOrganization
  url: https://github.com/tecton-ai
- type: Support
  url: https://support.tecton.ai/
- type: TermsOfService
  url: https://www.tecton.ai/terms-of-use/
- type: PrivacyPolicy
  url: https://www.tecton.ai/privacy-policy/
- type: ChangeLog
  url: https://www.tecton.ai/whats-new/
- type: Compliance
  url: https://docs.tecton.ai/docs/security
- type: Packages
  url: packages/tecton-databricks-packages.yml
- type: SDKs
  url: packages/tecton-databricks-packages.yml
- type: CLI
  url: cli/tecton-databricks-cli.yml
- type: MCPServer
  url: mcp/tecton-databricks-mcp.yml
- type: LLMsTxt
  url: llms/tecton-databricks-llms.txt
- type: Authentication
  url: authentication/tecton-databricks-authentication.yml
- type: Conventions
  url: conventions/tecton-databricks-conventions.yml
- type: ErrorCatalog
  url: errors/tecton-databricks-problem-types.yml
- type: Lifecycle
  url: lifecycle/tecton-databricks-lifecycle.yml
- type: ChangeLog
  url: changelog/tecton-databricks-changelog.yml
- type: Conformance
  url: conformance/tecton-databricks-conformance.yml
- type: TrustCenter
  url: security/tecton-databricks-trust-center.yml
- type: DomainSecurity
  url: security/tecton-databricks-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 13
  pass: local-v1
x-parent: tecton
x-relationship: product

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