# Datumo

**Canonical:** https://apis.io/providers/datumo/  
**Website:** https://datumo.com/  
**APIs profiled:** 0

Datumo provides an advanced LLM evaluation platform that offers automated generation of golden question sets, custom metric support, and comprehensive red‑team testing for AI models. Their services include Datumo Eval for model benchmarking, AI Red Team for adversarial analysis, and a dataset store with premium and open datasets for training and evaluation. The platform aims to help developers and researchers improve LLM performance, safety, and reliability through detailed analytics and actionable insights.

## Kin Score — 11.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-7.2 from 18.5).

| Facet | Score |
|---|---|
| Discoverability | 55.4 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 7.9 |
| Developer Ergonomics | 19.0 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 7.3 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| 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 |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Datumo Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Evaluation, LLM, Platform

---

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