Databaker

DataBaker Technology, founded in February 2016 and headquartered in the Seattle Metropolitan Area, provides professional AI training data solutions. It offers high‑quality data annotation, data generation, and processing services across text, image, video, and speech modalities. DataBaker partners with leading AI labs, enterprises, and government agencies to accelerate AI development with reliable datasets and tools. The company aims to fuel safe and capable AI by delivering expert‑curated data and a full‑stack platform for the AI lifecycle.

Databaker is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Data Annotation, Machine Learning, and Training Data.

🌐 Visit website 📡 Profile data on GitHub

3.4/100 minimal Agent 3/100 human only Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Data Annotation Machine Learning Training Data

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 3.4/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 3/100 · 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

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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<a href="https://apis.io/providers/databaker/"><img src="https://apis.io/badge/databaker/card.svg" alt="Databaker on APIs.io — Kin Score by API Evangelist"></a>

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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/databaker: 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 →

Security Posture 1

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

Databaker Domain Security

TLSv1.2 · HSTS

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: databaker
name: Databaker
image: https://data-baker.ai/icon.png
description: DataBaker Technology, founded in February 2016 and headquartered in the Seattle Metropolitan Area, provides professional
  AI training data solutions. It offers high‑quality data annotation, data generation, and processing services across text,
  image, video, and speech modalities. DataBaker partners with leading AI labs, enterprises, and government agencies to accelerate
  AI development with reliable datasets and tools. The company aims to fuel safe and capable AI by delivering expert‑curated
  data and a full‑stack platform for the AI lifecycle.
url: https://raw.githubusercontent.com/api-evangelist/databaker/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-22 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-22'
modified: '2026-10-22'
tags:
- Company
- Artificial Intelligence
- Data Annotation
- Machine Learning
- Training Data
tags_raw:
- Company
- AI
- Data Annotation
- Machine Learning
- Training Data
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Hosts
  url: hosts/databaker-hosts.yml
- type: DomainSecurity
  url: security/databaker-domain-security.yml
- type: Website
  url: https://www.data-baker.ai
apis: []
x-enrichment:
  date: '2026-10-22'
  status: enriched
  artifacts_added: 7
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local
x-coverage:
  state: none
  reason: no-developer-program
  method: derived
  generated: '2026-10-22'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company publishes no developer documentation host and no machine-readable contract on its own domain
  evidence:
  - url: https://www.data-baker.ai
    status: 200
  - url: https://equityzen.com/company/databaker
    status: 403

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