# Confident AI

**Canonical:** https://apis.io/providers/confident-ai/  
**Website:** https://www.confident-ai.com/  
**APIs profiled:** 3

Confident AI is the company behind DeepEval, the widely adopted open-source LLM evaluation framework, and the Confident AI cloud platform that layers observability, dataset management, regression testing, and red teaming on top of the local framework. DeepEval treats LLM evaluation as unit testing with research-backed metrics such as GEval, AnswerRelevancy, and Faithfulness, while DeepTeam provides an open-source red teaming framework. The hosted platform is SOC 2 Type II, HIPAA, and GDPR compliant with self-hosting available for regulated customers.

## Kin Score — 23.2 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 23.2).

| Facet | Score |
|---|---|
| Discoverability | 64.8 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 39.5 |
| Developer Ergonomics | 11.9 |
| Commercial Clarity | 46.1 |
| Access Clarity | 46.1 |

## Agent readiness — 3.0 (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 | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Free — onboarding: unknown, pricing: free, trial: no (confidence: medium).

## APIs (3)

- **DeepEval** — DeepEval is an open-source Python framework for evaluating LLM applications as unit tests. It ships with research-backed metrics including GEval, AnswerRelevancyMetric, Faithful...
- **Confident AI Platform** — Confident AI is the hosted platform that complements DeepEval with observability, centralized reporting, regression testing, prompt versioning, dataset management, trace ingesti...
- **DeepTeam** — DeepTeam is Confident AI's open-source red teaming framework for stress-testing LLM applications against adversarial attacks including prompt injection, jailbreaks, PII leakage,...

## Security (1)

- **Confident Ai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Plans (1)

- **Confident Ai Plans Pricing**

## Use cases (5)

- **Unit Testing LLM Apps** — Treat LLM evaluations as pytest-style unit tests inside developer workflows and CI.
- **RAG Evaluation** — Score retrieval, faithfulness, and answer quality in RAG pipelines.
- **Agent Evaluation** — Trace and evaluate multi-step agents with component-level metrics.
- **Production Observability** — Stream production traces to Confident AI for monitoring and alerting.
- **Red Teaming** — Run adversarial test suites with DeepTeam to find security and safety failures.

## Tags

LLM Evaluation, Open-Source, Observability, Red Teaming, Guardrails, Python, TypeScript

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