무료
월 $0. 신용카드 정보가 필요 없습니다.
- 무료 KYC 번들 (신분증 확인 + 패시브 라이브니스 + 얼굴 매칭 + 기기 및 IP 분석), 매월 500건 제공
- 차단된 사용자
- 중복 감지
- 모든 세션에서 200개 이상의 사기 신호 감지
- Didit 네트워크 전반에 걸쳐 재사용 가능한 KYC
- 사례 관리 플랫폼
- 워크플로 빌더
- 공개 문서, 샌드박스, SDK, MCP(Model Context Protocol) 서버
- 커뮤니티 지원




전 세계 2,000개 이상의 기관에서 신뢰합니다.

긱 플랫폼의 의무
계정이 정지된 드라이버나 금지된 배달원은 매일 새로운 이름으로 다시 가입합니다. Didit은 건당 $0.53로 한 번의 세션에서 신원 확인과 AML 심사를 처리하며 (국가별 운전면허 등록 확인은 $0.20 추가), Face Search 1:N 기능으로 새로운 문서, 새로운 이름, 새로운 이메일로 재신청하더라도 200ms 이내에 동일 인물을 찾아냅니다. 매월 500건의 인증을 무료로 제공합니다.
원하는 검사 항목(신분증, 라이브니스, 얼굴 매칭, 제재 목록, 주소, 연령, 전화번호, 이메일, 맞춤 질문)을 선택하세요. 대시보드에서 드래그 앤 드롭으로 플로우를 만들거나, 동일한 플로우를 API로 전송할 수 있습니다. 조건에 따라 분기하고 A/B 테스트를 실행할 수 있으며, 코딩은 필요 없습니다.
Web, iOS, Android, React Native, Flutter SDK를 사용하여 네이티브로 임베드하거나, 호스팅된 페이지로 리디렉션할 수 있습니다. 또는 이메일, SMS, WhatsApp 등 어디든 사용자에게 링크를 보내기만 하면 됩니다. 귀하의 스택에 맞는 방식을 선택하세요.
Didit은 카메라, 조명 안내, 모바일 핸드오프, 접근성을 호스팅합니다. 사용자가 플로우를 진행하는 동안, 200개 이상의 사기 신호를 실시간으로 분석하고 모든 필드를 신뢰할 수 있는 데이터 소스와 대조하여 확인합니다. 2초 이내에 결과를 받아볼 수 있습니다.
실시간으로 서명된 웹훅을 통해 사용자가 승인, 거부 또는 검토 대기 상태가 되는 즉시 데이터베이스를 동기화합니다. 필요에 따라 API를 폴링하거나, 콘솔을 열어 모든 세션과 신호를 검사하고 케이스를 직접 관리할 수 있습니다.
Didit · Gig signup
Step 3 / 5
Hold still for liveness
Didit · Database Validation
Didit · Ongoing AML
Didit · Face Search 1:N
New applicant
Didit · Coverage
$ curl -X POST https://verification.didit.me/v3/session/ \
-H "x-api-key: $DIDIT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"workflow_id": "wf_gig_rideshare",
"vendor_data": "driver-9241"
}'status: Approved가 될 때까지 첫 작업 접근을 보류합니다.문서 →// X-Signature-V2 verified upstream
if (payload.status === "Approved") {
activateWorker(payload.vendor_data);
indexFace(payload.face);
} else if (payload.status === "Declined") {
blockReapplication(payload.aml.hits);
}X-Signature-V2를 확인하세요.문서 →You are integrating Didit into a gig marketplace to onboard drivers, couriers, freelancers, or creators. ONE Didit session, five checks:
Verify the worker's identity (KYC) — ID document, liveness, face match, device + IP, AML against 1,300+ sanctions / Politically Exposed Person (PEP) / adverse-media lists — plus Face Search 1:N against your private worker index to block previously-banned workers re-applying under a new name. Add an OPTIONAL licence-registry cross-check when you onboard drivers.
Bundle pricing (verified live, 2026-05-17):
- Full KYC bundle: $0.33 per worker (ID + Liveness + Face Match + Device & IP)
- AML Screening: $0.20 per worker
- Face Search 1:N against your private worker index: Free
- Baseline total: $0.53 per worker — public price, no minimums
- Optional Database Validation (licence registry): $0.20 per call, only billed when used
- First 500 verifications free every month, forever
- Ongoing AML on active workforce: $0.07 per worker per year (automatic)
PRE-REQUISITES
- Production API key from https://business.didit.me (sandbox key in 60s, no card).
- Webhook endpoint with HMAC SHA-256 verification using the X-Signature-V2 header and your webhook secret.
- A workflow_id from the Workflow Builder that bundles ID Verification + Passive Liveness + Face Match 1:1 + Device & IP + AML Screening. For drivers, ALSO add Database Validation and branch on country_of_work.
STEP 1 — Open the worker session at signup
POST https://verification.didit.me/v3/session/
Headers:
x-api-key: <your api key>
Content-Type: application/json
Body:
{
"workflow_id": "<wf id with KYC + AML (and Database Validation if driver)>",
"vendor_data": "<your worker id, max 256 chars>",
"callback_url": "https://<your-app>/gig/onboarding/callback",
"metadata": {
"gig_category": "rideshare",
"country_of_work": "ES",
"license_number": "<worker's licence number, OCR'd or self-entered>"
}
}
Response: 201 Created with a hosted session URL on the `url` field. Redirect the worker (web or in-app webview). Sub-2-second median verdict on completion.
STEP 2 — Read the signed webhook when the worker finishes
Didit POSTs to your callback. Session statuses are Title Case With Spaces:
Body (excerpted, with optional Database Validation included for a driver):
{
"session_id": "<uuid>",
"vendor_data": "<your worker id>",
"status": "Approved",
"id_verification": { "status": "Approved", "document_type": "Driver License" },
"liveness": { "status": "Approved" },
"face": { "status": "Approved", "similarity_score": 0.94 },
"ip_analysis": { "status": "Approved" },
"aml": { "status": "Approved", "hits": [] },
"database_validation": { "status": "Approved", "registry": "DGT" }
}
Status enum (exact case): Approved | Declined | In Review | Resubmitted | Expired | Not Finished | Kyc Expired | Abandoned.
Verify the X-Signature-V2 header BEFORE reading the body — HMAC SHA-256 of the raw body bytes with your webhook secret. Re-serialising the parsed JSON breaks the signature.
STEP 3 — Branch on the verdict
Approved → activate the worker; let them pick up jobs.
In Review → route to ops queue; hold first job until disposition.
Declined → block; log the hit detail for compliance.
Resubmitted → applicant retried after a soft rejection — re-read.
Kyc Expired → session went stale; send a new session URL.
STEP 4 — Re-application defence (Face Search 1:N)
Every onboarded worker is indexed in your app's private Face Search 1:N index. A banned worker re-applying under a different name + a different document + a different IP is caught in under 200ms on the same /v3/ call (Face Search runs as a workflow step). Set the action on duplicate match to Block, Review, or Approve per app.
STEP 5 — Ongoing AML on the active workforce is automatic
Every Approved worker is re-screened DAILY by Didit's continuous AML monitoring at $0.07 per worker per year. NO separate endpoint to call — the original session is what gets monitored.
When a previously-clean worker crosses an AML threshold (new sanction listing, new adverse-media hit, PEP status change), the session status changes to "In Review" or "Declined" automatically and your webhook fires the update. Disable the worker, route to ops.
STEP 6 — Optional licence registry for drivers
For ride-share and delivery onboardings only, enable Database Validation in the workflow and branch on country_of_work:
ES → DGT
UK → DVLA
US → state DMV (per state)
BR → DENATRAN
The check costs $0.20 and is only billed when the workflow step runs. If the country isn't supported yet, the step is skipped — no spurious decline.
WEBHOOK EVENT NAMES
- Sessions: status changes flow through the standard session webhook.
- Ongoing AML updates: same session webhook fires when the verdict flips post-onboarding.
Verify X-Signature-V2 on every payload.
CONSTRAINTS
- Session statuses use Title Case With Spaces (Approved, In Review). Do not lowercase or snake_case them.
- Database Validation is country-specific — 20+ countries live for driver licences. If the country isn't live, the check is skipped (no spurious decline).
- 200+ fraud signals are evaluated on every KYC session at no extra cost.
- The session URL is single-use; if a worker abandons mid-flow, create a new session for the retry.
Read the docs:
- https://docs.didit.me/sessions-api/create-session
- https://docs.didit.me/core-technology/aml-screening/overview
- https://docs.didit.me/integration/webhooks
Start free at https://business.didit.me — sandbox key in 60 seconds, 500 verifications free every month, no credit card.월 $0. 신용카드 정보가 필요 없습니다.
사용한 만큼만 지불하세요. 25개 이상의 모듈. 모듈별 공개 가격, 월 최소 요금 없음.
맞춤형 MSA 및 SLA. 대규모 볼륨 및 규제 프로그램에 적합합니다.
무료로 시작 → 확인 실행 시에만 지불 → 맞춤형 계약, SLA 또는 데이터 상주를 위해 엔터프라이즈 잠금 해제.
Didit is infrastructure for identity and fraud, the platform we wished existed when we were building products ourselves: open, flexible, and developer-friendly, so it works as a real part of your stack instead of a black box you integrate around.
One API covers verifying people (KYC, know your customer), verifying businesses (KYB, know your business), screening crypto wallets (KYT, know your transaction), and monitoring transactions in real time, on a stack built to be:
The footprint underneath: 14,000+ document types in 48+ languages, 1,000+ data sources, and 200+ fraud signals on every session. The Didit infrastructure dynamically learns from every session and gets better every day.
Four obligations every gig platform owes on every new worker:
Didit bundles all four into one /v3/session/ call.
Two structural reasons:
Face Search 1:N against your private worker index closes both holes.
The full flow normally takes under 30 seconds end-to-end, pick up the ID, snap the document, snap the selfie, done. That is the fastest in the market. Legacy KYC providers usually take more than 90 seconds for the same flow.
On the back end, Didit returns the result in under two seconds at p99, measured from the moment the user finishes the selfie to the moment your webhook fires. Mobile capture is tuned for slow phones and slow networks: progressive image compression, lazy software development kit load, and a one-tap hand-off from desktop to phone via QR code if the user starts on web.
Every approved worker's enrolment selfie is indexed into your app's private one-to-many (1:N) face index, keyed on your vendor_data, isolated per Didit application, fully encrypted at rest. New onboardings cross-check the selfie against the index in under 200ms.
A banned driver re-applying with:
Maria L. → M. A. Lopez).…still presents the same face. Face Search returns the original vendor_data of the banned record and the verdict flips to Block. Free, included in every workflow.
Every session lands on one of seven clear statuses, so your code always knows what to do:
Approved, every check passed. Move the user forward.Declined, one or more checks failed. You can allow the user to resubmit the specific failed step (for example, re-take the selfie) without re-running the whole flow.In Review, flagged for compliance review. Open the case in the console, see every signal, decide approve or decline.In Progress, user is mid-flow.Not Started, link sent, user has not opened it yet. Send a reminder if it sits too long.Abandoned, user opened the link but did not finish in time. Re-engage or expire.Expired, the session link aged out. Create a new session.A signed webhook fires on every status change, so your database always stays in sync. Abandoned and declined sessions are free.
Production data is processed and stored in the European Union by default, on Amazon Web Services. Enterprise contracts can request alternative regions for jurisdictions whose regulators require it.
Encryption everywhere. AES-256 at rest across every database, object store, and backup. Transport Layer Security 1.3 in transit on every API call, webhook, and Business Console session. Biometric data is encrypted under a separate Customer Master Key.
Retention is yours to control. Default retention is indefinite (unlimited) unless you configure shorter, between 30 days and 10 years per application, and you can delete any individual session at any time from the dashboard or the API.
Certifications: SOC 2 Type 1 (Type 2 audit in progress), ISO/IEC 27001:2022, iBeta Level 1 PAD, and a public attestation from Spain''s Tesoro / SEPBLAC / CNMV that Didit''s remote identity verification is safer than verifying someone in person. Full report at /security-compliance.
Didit ships compliant by default for the regulators that matter to identity infrastructure:
Detailed memo, every certificate, every regulator letter: /security-compliance.
Three integration paths, pick whichever fits your stack:
Same dashboard, same billing, same pay-per-success price for all three. Step-by-step guide at docs.didit.me/integration/integration-prompt.
Whatever the worker's country of employment requires:
Didit's classifier supports 14,000+ documents across 220+ countries. The Workflow Builder branches on country-of-work so a UK driver gets the DVLA check and a Spanish driver gets the DGT check, same flow, different registry.
Device & IP Analysis runs in the same /v3/session/ call at $0.03 per check. 200+ fraud signals surface on every session at no extra cost:
vendor_data in 7 days.The verdict flips to In Review when the signal stack crosses a threshold you configure in the Workflow Builder.
Three integration patterns:
session_url. Zero front-end work, most common path./v3/id-verification/ directly when you already own the capture experience.All three speak the same workflow, return the same per-feature report shape, and hit the same webhook. Mix-and-match per gig category.