# Detectif.ai

**Canonical:** https://apis.io/providers/detectif-ai/  
**Website:** https://detectif.ai/  
**APIs profiled:** 1

Detectif.ai provides audio deepfake detection and speaker verification models for calls, recordings, and voice agents. Their solutions can be deployed in the cloud, a private VPC, on‑premises, or on‑device, targeting contact‑center fraud prevention, banking voice security, and synthetic voice detection use‑cases.

## Kin Score — 41.1 / 100 (developing)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 66.1 |
| Contract Quality | 50.7 |
| Contract Governance | 22.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 58.8 |
| Access Clarity | 34.2 |

Regulatory layer — **AI & Biometrics**: 21.9 (matched via residual_tags).

## Agent readiness — 36.4 (agent-ready)

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

## Access

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

## APIs (2)

- **DetectifAI Developer API** — Detect AI-generated speech detection and speaker verification API.
- **DetectifAI Developer API API** — The DetectifAI developer API detects synthetic (AI-generated) speech and verifies speakers by voice.

## Security (2)

- **Detectif Ai Authentication** — 2 schemes
- **Detectif Ai Domain Security** — TLSv1.3 · DNSSEC

## Tags

Company, Artificial Intelligence, Voice, Deepfake, Security, Audio

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