# Databaker

**Canonical:** https://apis.io/providers/databaker/  
**Website:** https://www.data-baker.ai  
**APIs profiled:** 0

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.

## Kin Score — 3.4 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Databaker Domain Security** — TLSv1.2 · HSTS

## Tags

Company, Artificial Intelligence, Data Annotation, Machine Learning, Training Data

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/databaker/). Scores are computed from the provider's own public artifacts under a published rubric.