Detectif.ai

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.

Detectif.ai publishes 2 API contracts indexed on the APIs.io network, including DetectifAI Developer API API, and 1 more. Tagged areas include Company, Artificial Intelligence, Voice, Deepfake, and Security.

The Detectif.ai catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Detectif.ai’s developer surface includes authentication, engineering blog, getting-started guide, documentation, API reference, and 18 more developer resources.

41.1/100 developing Agent 36/100 agent ready Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
1 published contract
CompanyArtificial IntelligenceVoiceDeepfakeSecurityAudio

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site. Kin Score badge preview for Detectif.ai It updates itself when the score changes. Paste this where you link to your API docs:
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Agent readiness — checks not met, largest first (exact, from this profile):
  • MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
  • Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
  • Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
5 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/detectif-ai/apis.yml: open an issue on github.com/api-evangelist/detectif-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

measured — observed by APIs.io (verified)
measured — observed by APIs.io (published)
measured — observed by APIs.io (published)

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

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.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Detectif Ai Context

26 classes · 64 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Detectif.ai API Rules

71 rules · 65 errors 4 warnings 2 info

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

CreditsObject

7 properties

JSON SCHEMA

DeepfakeResponse

8 properties

JSON SCHEMA

EnrollResponse

9 properties

JSON SCHEMA

OperationObject

13 properties

JSON SCHEMA

SpeakerObject

7 properties

JSON SCHEMA

VerifyResponse

10 properties

JSON SCHEMA

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Detectif Ai Authentication

2 schemes

SECURITY

Detectif Ai Domain Security

TLSv1.3 · DNSSEC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 8

Pagination, idempotency, versioning, errors, and events

Scroll for all 8

Access & Security 2

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: detectif-ai
name: Detectif.ai
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: gated
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://detectif.ai/social/detectif-ai-share.jpg
description: 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.
url: https://artifacts.apis.io/detectif-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-05 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-05'
modified: '2026-11-05'
tags:
- Company
- Artificial Intelligence
- Voice
- Deepfake
- Security
- Audio
tags_raw:
- Company
- AI
- Voice
- Deepfake
- Security
- Audio
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/detectif-ai-rules.yml
- type: JSONLD
  url: json-ld/detectif-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/detectif-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/detectif-ai-data-model.yml
- type: Idempotency
  url: conventions/detectif-ai-conventions.yml
- type: Conventions
  url: conventions/detectif-ai-conventions.yml
- type: Authentication
  url: authentication/detectif-ai-authentication.yml
- type: ErrorCatalog
  url: errors/detectif-ai-problem-types.yml
- type: Conformance
  url: conformance/detectif-ai-conformance.yml
- type: LLMsTxt
  url: llms/detectif-ai-llms.txt
- type: WellKnown
  url: well-known/detectif-ai-well-known.yml
- type: Hosts
  url: hosts/detectif-ai-hosts.yml
- type: TermsOfService
  url: https://platform.detectif.ai/terms/
- type: PrivacyPolicy
  url: https://platform.detectif.ai/privacy/
- type: Login
  url: https://platform.detectif.ai/login/
- type: Blog
  url: https://detectif.ai/blog
- type: GettingStarted
  url: https://platform.detectif.ai/docs/noesis/quickstart
- type: DeveloperPortal
  url: https://api.noesis.detectif.ai`
- type: DomainSecurity
  url: security/detectif-ai-domain-security.yml
- type: Website
  url: https://detectif.ai/
- type: Documentation
  url: https://detectif.ai/deepfake-detection
- type: APIReference
  url: https://detectif.ai/deepfake-detection
apis:
- name: DetectifAI Developer API
  description: Detect AI-generated speech detection and speaker verification API.
  humanURL: https://platform.detectif.ai/docs/api/
  baseURL: https://platform.detectif.ai
  properties: []
  aid: detectif-ai:detectifai-developer-api
- aid: detectif-ai:detectifai-developer-api-api
  name: DetectifAI Developer API API
  description: The DetectifAI developer API detects synthetic (AI-generated) speech and verifies speakers by voice.
  humanURL: https://platform.detectif.ai/docs/api/
  baseURL: https://platform.detectif.ai
  properties:
  - type: OpenAPI
    url: openapi/_original/detectif-ai-api-openapi.json
  - type: JSONSchema
    url: json-schema/detectif-ai-operation-object-schema.json
  - type: JSONSchema
    url: json-schema/detectif-ai-verify-response-schema.json
  - type: JSONSchema
    url: json-schema/detectif-ai-deepfake-response-schema.json
  - type: JSONSchema
    url: json-schema/detectif-ai-enroll-response-schema.json
  - type: JSONSchema
    url: json-schema/detectif-ai-credits-object-schema.json
  - type: JSONSchema
    url: json-schema/detectif-ai-speaker-object-schema.json
x-coverage:
  state: gated
  reason: partner-login
  method: derived
  generated: '2026-11-05'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company serves an API surface but requires credentials before any description of it can be read
  evidence:
  - url: https://platform.detectif.ai/openapi.json
    status: null
  - url: https://api.noesis.detectif.ai/v1/openapi.json
    status: null
  - url: https://platform.detectif.ai/mcp
    status: 401
  - url: https://detectif.ai/
    status: 200
x-enrichment:
  date: '2026-11-05'
  status: enriched
  artifacts_added: 30
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Detectif.ai API — frequently asked questions

Does Detectif.ai have an API?

Yes. APIs.io lists 2 APIs from Detectif.ai, including DetectifAI Developer API and DetectifAI Developer API API.

Is there an OpenAPI specification for the Detectif.ai API?

Yes. APIs.io indexes 1 OpenAPI specification for Detectif.ai, each linked for download from this page.

How do I authenticate with the Detectif.ai API?

Detectif.ai documents its authentication (2 schemes). The details are profiled on APIs.io as Detectif Ai Authentication.

Is the Detectif.ai API ready for AI agents?

Detectif.ai has a Kin Score of 41.1 out of 100 (developing) and an Agent Readiness score of 36.4 (agent-ready), scored by API Evangelist on 2026-11-06.

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