Bewerte das Netzwerk und Gerät bei jedem risikoreichen Warenkorb für $0.03. Führe die biometrische Prüfung nur bei dem kleinen Teil der Fälle durch, bei denen Signale allein nicht ausreichen. 500 Verifizierungen jeden Monat kostenlos.
Robinhood Ventures
Über 2.000 Organisationen weltweit vertrauen uns.
Warum die meisten Checkouts keine Reibung brauchen
90 % der Bestellungen kommen von Stammkunden auf vertrauenswürdigen Geräten, die sollten einfach durchlaufen. Die 10 % mit erhöhtem Risiko bekommen den Screen: 0,03 $ für IP + Gerät bei den einfachen Fällen, 0,10 $ für biometrische Step-ups bei den hochpreisigen. 500 Verifizierungen monatlich kostenlos.
Wähle die gewünschten Checks aus, ID, Liveness, Face Match, Sanktionen, Adresse, Alter, Telefon, E-Mail, benutzerdefinierte Fragen. Ziehe sie im Dashboard in einen Flow oder poste denselben Flow an unsere API. Verzweige nach Bedingungen, führe A/B-Tests durch, kein Code erforderlich.
Bette nativ mit unseren Web-, iOS-, Android-, React Native- oder Flutter-SDKs ein. Leite auf eine gehostete Seite weiter. Oder sende deinem Nutzer einfach einen Link, per E-Mail, SMS, WhatsApp, überall. Wähle, was zu deinem Stack passt.
Didit hostet die Kamera, die Beleuchtungshinweise, die mobile Übergabe und die Barrierefreiheit. Während der Nutzer den Flow durchläuft, bewerten wir über 200 Betrugssignale in Echtzeit und verifizieren jedes Feld anhand autoritativer Datenquellen. Ergebnis in unter zwei Sekunden.
Echtzeit-signierte Webhooks halten deine Datenbank synchron, sobald ein Nutzer genehmigt, abgelehnt oder zur Überprüfung gesendet wird. Frage die API bei Bedarf ab. Oder öffne die Konsole, um jede Session, jedes Signal zu prüfen und Fälle nach deinen Wünschen zu verwalten.
Didit · Risk-trigger policy
Didit · Device & IP Analysis
Didit · Biometric Authentication
Confirm · 1 of 1
Hold still for the check
Didit · Chargeback evidence
order-A4421 · evidence pack
Didit · Reusable KYC
First pass
Checkout
Didit · Webhook · X-Signature-V2
{
"session_id": "order-A4421",
"vendor_data": "order-A4421",
"status": "Approved",
"ip_analysis": { "score": 11 },
"liveness": { "status": "Approved" }
}$ 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_buyer_screen",
"vendor_data": "order-A4421",
"metadata": { "cart_total_cents": 78500 }
}'status: Approved landet.Doku →// X-Signature-V2 verified upstream
if (payload.status === "Approved") {
shipOrder(payload.vendor_data);
} else if (payload.status === "Declined") {
cancelAndRefund(payload.vendor_data);
}X-Signature-V2 verifizieren, bevor die Payload gelesen wird.Doku →You are integrating a Didit buyer-side fraud screen on a marketplace / e-commerce checkout. Goal: catch stolen-card use, account takeover, gift-card stack abuse, geo-mismatch friendly fraud, and bot scalping on high-value carts. Two stages — cheap signals first, biometric step-up only when signals aren't enough.
WHY THIS SHAPE
- Most checkouts don't need any friction. Day-to-day buyers on trusted devices from residential networks should sail through.
- A small percentage are high-value or high-risk — cart over a threshold, gift-card stack, payout to a new card, geo mismatch, new device, velocity anomaly. On those, run a screen.
- Two stages keep the cost and the friction proportional to the risk. Cheap IP + device check ($0.03) is decisive on the obvious cases. Biometric step-up ($0.10) only fires when the cheap signals are inconclusive AND the order is high-value.
- 500 verifications free every month. The screen runs inside the free tier for most teams while they tune the thresholds.
PRE-REQUISITES
- Production API key from https://business.didit.me (sandbox key in 60 seconds, no credit card).
- A webhook endpoint with HMAC SHA-256 verification of the X-Signature-V2 header using your webhook secret.
- A Workflow Builder workflow with Device & IP Analysis and optionally Passive Liveness + Face Match 1:1 against the stored buyer portrait.
- A server-side cart-gate that defaults to BLOCK on the high-risk path and only unblocks on a verified webhook with status: Approved.
STEP 1 — Decide WHEN to screen (your code, not Didit's)
Run your usual checkout signals. Default triggers worth a screen:
- Cart total above your account-level tier (e.g. > $500)
- Gift-card stack of three or more cards in one order
- Shipping country that doesn't match the billing-card country
- First buy from a new device
- Velocity anomaly — N orders within window W from the same buyer
- Payout / refund destination changed mid-flow
Day-to-day reads from trusted-device + residential-network buyers do NOT need a screen.
STEP 2 — Open the screen session
POST https://verification.didit.me/v3/session/
Headers:
x-api-key: <your api key>
Content-Type: application/json
Body:
{
"workflow_id": "<wf id with Device & IP Analysis + optional Passive Liveness + Face Match 1:1>",
"vendor_data": "<your order id, max 256 chars>",
"callback": "https://<your-app>/checkout/screen/callback",
"metadata": {
"cart_total_cents": 78500,
"currency": "EUR",
"trigger": "high_value_cart"
}
}
Response: 201 Created with a hosted session URL. Show inline at checkout (web), or open in a Software Development Kit (SDK) webview (mobile). The order stays in HOLD on your side until the signed webhook lands.
STEP 3 — Read the signed webhook
Didit POSTs the verdict. Verify X-Signature-V2 (HMAC SHA-256 of the raw body) BEFORE reading the JSON.
Payload (excerpted):
{
"session_id": "<uuid>",
"vendor_data": "<your order id>",
"status": "Approved",
"ip_analysis": { "status": "Approved", "score": 11 },
"liveness": { "status": "Approved" },
"face": { "status": "Approved", "similarity_score": 0.93 }
}
Session status enum (exact case, Title Case With Spaces): Approved | Declined | In Review | Resubmitted | Expired | Not Finished | Kyc Expired | Abandoned.
STEP 4 — Branch the cart action
Approved → ship the order, capture the auth, send the confirmation.
In Review → hold the order. Route to manual review with the per-module signals as the case file.
Declined → cancel the order, refund the auth, log warnings (liveness / face-match / ip flags), throttle the source IP.
Not Finished → invite the buyer to retry the screen with a fresh session URL. Don't ship.
STEP 5 — (Optional) Reusable Know Your Customer (KYC) for returning trusted buyers
Once a buyer has passed identity once on the platform, the credential can replay on future checkouts at no cost via Reusable KYC. Look up the buyer's prior session_id; if the credential is valid and recent, skip the live screen.
That keeps the friction on the unknown traffic only. Free forever.
STEP 6 — Use the decision payload as the chargeback evidence pack
When a dispute lands, pull the full decision payload via:
GET https://verification.didit.me/v3/session/{session_id}/decision/
Headers:
x-api-key: <your api key>
Pairs naturally with:
- 3-D Secure 2.x (3DS2) liability shift on EU cards
- Visa Compelling Evidence 3.0 (CE3.0) — biometric + IP + device fingerprint + prior-order history meets the "trusted customer" bar
- Mastercard Identity Check chargeback dispute kit
WEBHOOK EVENT NAMES
- Sessions: standard session webhook. One endpoint, status field tells you the lifecycle.
- Verify X-Signature-V2 (HMAC SHA-256) on every payload.
WHAT IT BLOCKS
- Stolen-card use on first-time-buy + geo mismatch
- Account takeover on a previously-verified buyer (the step-up is the second-factor)
- Friendly fraud where the cardholder disputes a charge they actually authorised
- Bot scalpers running multi-item carts from datacenter Internet Protocol (IP) addresses
- Gift-card stack drains funded by a stolen card
- Reshipper / mule patterns (ship-to address inconsistent with prior orders)
CONSTRAINTS
- Session statuses use Title Case With Spaces. Never UPPER_SNAKE_CASE — that's the Transactions API.
- Start with IP-only on the cheap cases. Add the biometric step-up only on high-value carts or when IP alone is inconclusive — keeps cost down and friction proportional.
- 200+ fraud signals are evaluated on every session at no extra cost — read them off the decision payload, don't re-query.
Read the docs:
- https://docs.didit.me/sessions-api/create-session
- https://docs.didit.me/core-technology/ip-analysis/overview
- https://docs.didit.me/core-technology/biometric-auth/overview
- https://docs.didit.me/core-technology/reusable-kyc/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.$0 / Monat. Keine Kreditkarte erforderlich.
Zahle nur, was du nutzt. Über 25 Module. Öffentliche Preise pro Modul, keine monatliche Mindestgebühr.
Individuelle MSA & SLA. Für große Volumina und regulierte Programme.
Kostenlos starten → nur zahlen, wenn eine Prüfung läuft → Enterprise für einen individuellen Vertrag, SLA oder Datenresidenz freischalten.
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.
Any pattern where the person paying does not have the right to pay with that instrument, or where the transaction is structured to trigger a later chargeback.
Common shapes:
Friction has a cost. Conversion drops measurably on every extra checkout step. Most buyers, known device, residential network, normal cart total, should sail through with no screen at all.
Two stages keep the friction proportional to the risk:
$0.03), Device & IP Analysis is cheap and silent. Decisive on the obvious cases (VPN + datacenter Internet Protocol (IP) + headless browser = block on the spot; trusted device + residential ISP = pass on the spot).$0.10), Passive Liveness step-up fires only on the small slice where stage 1 is inconclusive AND the cart total is above the worth-it threshold.The result: the median checkout adds zero friction, and the high-risk slice gets a decisive check.
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.
Only when stage 1 is inconclusive AND the order is high-value enough to justify the friction. Examples:
The step-up is Passive Liveness at \$0.10, optionally with a Face Match 1:1 against the stored buyer portrait at an extra \$0.05. Sub-two-second verdict on entry-level Android.
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.
Yes. The same POST /v3/session/ powers both. On web, render the returned session_url inline at checkout. On mobile, open it in the Didit Software Development Kit (SDK) webview, five SDKs ship: Web, iOS, Android, React Native, Flutter, all free.
The verdict comes through the same signed webhook regardless of surface. One integration, every platform.
Two line items in the worst case:
Median protected checkout that needs both stages: ~\$0.13. Most checkouts run only stage 1 at \$0.03. Returning trusted buyers via Reusable KYC are free forever.
The first 500 verifications every month are free on every account.
Anywhere the basket is big enough that a stolen-card buy hurts:
One workflow, every cart shape.
Eine API für KYC, KYB, Transaktionsüberwachung und Wallet-Screening. In 5 Minuten integriert.