# Domino Data Lab

**Canonical:** https://apis.io/providers/domino-data-lab/  
**Website:** https://domino.ai/  
**APIs profiled:** 0

Domino Data Lab is an enterprise MLOps and AI platform used by data science and machine learning teams to build, deploy, monitor, and govern models and data-science applications across hybrid and multi-cloud infrastructure. The platform exposes a REST Platform API (apps, projects, model serving, environments, workspaces, cost, users/orgs, extensions, and data sources), a separate Domino Data API for data access, and a Model Monitoring API, alongside official Python (python-domino) and R clients, a VS Code extension, and an official Model Context Protocol server distributed through its Claude Code plugin. Originally surfaced as a portfolio company of bloomberg-beta and enriched from its public developer surface.

## Kin Score — 25.3 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 25.3).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 63.0 |
| Commercial Clarity | 31.6 |

## Agent readiness — 19.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | yes |
| Auth Clarity | yes |
| 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 |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## MCP servers (1)

- **domino-data-lab-mcp.yml**

## Security (2)

- **Domino Data Lab Authentication** — apiKey · 1 scheme
- **Domino Data Lab Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, MLOps, Data Science, Machine Learning, AI Platform, Model Monitoring, Enterprise AI

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