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) is listed with 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 📡 Profile data on GitHub

35.2/100 thin ▬ flat Agent 9/100 agent aware Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers

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

Kin Score

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

Composite quality — 35.2/100 · 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

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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/tecton-databricks/"><img src="https://apis.io/badge/tecton-databricks/card.svg" alt="Tecton (Databricks) on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

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)
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)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 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
Access Clarity scores 36.8 — up to +12.6 composite points
Operational Transparency scores 18.4 — up to +10.6 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/tecton-databricks/apis.yml: open an issue on github.com/api-evangelist/tecton-databricks 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)

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

Local (stdio) MCP server; 5 tools listed.

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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  - 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: '2026-11-06'
  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'
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
x-docs-hosting: cloudflare-pages
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

Tecton (Databricks) API — frequently asked questions

Does Tecton (Databricks) have an API?

Yes. APIs.io lists 1 API from Tecton (Databricks), including Tecton HTTP API.

How do I authenticate with the Tecton (Databricks) API?

Tecton (Databricks) uses bearer-token authentication (apiKey/oauth2 · 2 schemes). The details are profiled on APIs.io as Tecton Databricks Authentication.

Does Tecton (Databricks) have an MCP server?

Yes. APIs.io lists 1 MCP server for Tecton (Databricks): Local (stdio) MCP server; 5 tools listed.

Is the Tecton (Databricks) API ready for AI agents?

Tecton (Databricks) has a Kin Score of 35.2 out of 100 (thin) and an Agent Readiness score of 8.8 (agent-aware), 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.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/tecton-databricks"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/tecton-databricks/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/tecton-databricks/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.