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Didit Yakusanya $7.5M Kujenga Miundombinu ya Utambulisho na Udanganyifu
Didit
Matumizi Mabaya ya Akaunti Nyingi

Nasa sybils kwa Utafutaji wa Nyuso 1:N. Mtu mmoja, akaunti moja.

Tafuta kila selfie mpya ya kujisajili dhidi ya ghala la selfies zilizoidhinishwa hapo awali. Mechi inamaanisha binadamu yule yule tayari ana akaunti. Utafutaji wa Uso ni bure; uthibitishaji 500 bure kila mwezi.

Anza bureSoma nyaraka
Inaungwa mkono na
Y CombinatorRobinhood Ventures
GBTC Finance
Bondex
Crnogorski Telekom
UCSF Neuroscape
Shiply
Adelantos

Inaaminika na mashirika 2,000+ duniani kote.

Mrundiko wa giza usioeleweka wa kugundua sybil, paneli nne zinazoelea, zinazopitisha mwanga, za kioo cheusi katika mtazamo wa 3D kwenye rangi nyeusi safi, zikipitishwa na mstari wima wa Didit Blue unaong'aa na kuwekewa fremu na mabano ya skana yanayong'aa. Kila paneli hubeba motifu moja ndogo nyeupe-nyeupe isiyo dhahiri (uso mmoja, nyuso zilizorudiwa, mtandao wa nodi, kundi la akaunti zilizounganishwa).

Kile ambacho barua pepe na simu haziwezi kunasa

Barua pepe ya bei rahisi. Simu ya bei rahisi. Sura moja, kila wakati.

Majina mbadala ya barua pepe na SIM za muda mfupi hugharimu senti chache. Uso wa binadamu ndio kitambulisho pekee ambacho mkulima wa sybil hawezi kubadilisha. Utafutaji wa Nyuso 1:N dhidi ya picha yako ya selfie ya awali hufanya mtu yule yule asiweze kujificha. Bure kwa kila utafutaji, uthibitisho 500 bure kila mwezi.

Jinsi inavyofanya kazi

Kuanzia kujisajili hadi mtumiaji aliyethibitishwa kwa hatua nne.

  1. Hatua 01

    Unda mtiririko wa kazi

    Chagua ukaguzi unaotaka, ID, liveness, kulinganisha uso, vikwazo, anwani, umri, simu, barua pepe, maswali maalum. Ziburute kwenye mtiririko katika dashibodi, au tuma mtiririko huo huo kwenye API yetu. Panga masharti, fanya majaribio ya A/B, hakuna msimbo unaohitajika.

  2. Hatua 02

    Unganisha

    Pachika asilia na SDK yetu ya Web, iOS, Android, React Native, au Flutter. Elekeza kwenye ukurasa uliopangishwa. Au tuma tu mtumiaji wako kiungo, kwa barua pepe, SMS, WhatsApp, popote. Chagua kinachofaa mrundiko wako.

  3. Hatua 03

    Mtumiaji anapitia mtiririko

    Didit huandaa kamera, ishara za mwanga, uhamishaji wa simu, na ufikiaji. Wakati mtumiaji yuko kwenye mtiririko, tunapima ishara 200+ za udanganyifu kwa wakati halisi na kuthibitisha kila sehemu dhidi ya vyanzo vya data vya mamlaka. Matokeo chini ya sekunde mbili.

  4. Hatua 04

    Unapokea matokeo

    Webhooks zilizotiwa saini za wakati halisi huweka database yako sawa mara tu mtumiaji anapoidhinishwa, kukataliwa, au kutumwa kwa ukaguzi. Uliza API inapohitajika. Au fungua console kukagua kila kipindi, kila ishara, na kudhibiti kesi kwa njia yako.

Imejengwa kwa ajili ya mapishi · Bei kama miundombinu

Ukaguzi sita. Uamuzi mmoja uliotiwa saini. Bure kwa kila utafutaji wa uso.

Ulinzi wa akaunti nyingi ni mchanganyiko, utafutaji, liveness, viungo vya akaunti mbalimbali, ukaguzi wa nyaraka. Washa kila moduli kwa kila mtiririko wa kazi katika Workflow Builder.
Soma nyarakaPata API key
01 · Maumbo ya tatizo

Pale ambapo binadamu yuleyule anaonekana mara mbili.

Sybil airdrops, mizunguko ya malipo ya rufaa, iGaming multi-accounting inayopita kujitenga, makundi ya ukaguzi bandia sokoni, upigaji kura wa DAO, kuongeza bonasi za kukaribisha kwenye usajili wa neobank au brokerage. Mtiririko wa kazi wa Workflow Builder hulinda kila aina.
Moduli ya Workflow Orchestrator
02 · Lango la Utafutaji wa Nyuso

Tafuta kila uso mpya dhidi ya orodha iliyopo.

Utafutaji wa Nyuso 1:N huorodhesha selfie iliyopigwa wakati wa kujisajili na kuitafuta dhidi ya nyumba ya sanaa ya selfies zilizoidhinishwa hapo awali chini ya akaunti yako. Hurejesha wagombea wakuu na alama ya kufanana. Bure kwa kila utafutaji, hakuna ada kwa kila simu. Utafutaji wa vekta hurejesha chini ya sekunde mbili.
Moduli ya Utafutaji wa Nyuso 1:N
03 · Kundi la kulinganisha

Uso uleule, tayari upo kwenye faili.

Utafutaji unapopata mechi, payload ya webhook hubeba kila session_id ya awali, rejeleo la mtumiaji linalolingana, na alama ya kufanana. Rekebisha vizingiti vikali / laini kwa kila mtiririko wa kazi, chaguo-msingi 0.85 = Imekataliwa, 0.75–0.85 = Inakaguliwa, < 0.75 = Imeidhinishwa.
Jinsi Utafutaji wa Nyuso Unavyofanya Kazi
04 · Ishara za kiungo cha akaunti mbalimbali

Kifaa kilekile. IP ileile. Njia ya malipo ileile.

Unda Uchambuzi wa Kifaa na IP ($0.03 / simu) katika mtiririko wa kazi uleule. Payload ya uamuzi huonyesha alama ya kidole ya kifaa, anwani ya Itifaki ya Mtandao (IP), Nambari ya Mfumo Huru (ASN), na nchi. Unganisha na hash ya chombo cha malipo kutoka kwa backend yako ili kuunganisha sybils kabla ya utafutaji wa uso kuthibitisha.
Moduli ya Uchambuzi wa Kifaa na IP
05 · Nanga ya kitambulisho inayoweza kutumika tena

Kitambulisho kimoja. Bidhaa nyingi. Hakuna nakala.

KYC inayoweza kutumika tena inaruhusu mtumiaji halali kuingia tena kwenye bidhaa zako zingine na kitambulisho kilichothibitishwa hapo awali bila gharama, hiyo ni matumizi ya makusudi, sio matumizi mabaya. Wakulima wa Sybil hawawezi kutumia tena kitambulisho kilekile kwenye akaunti mpya kwa sababu utafutaji wa uso bado unarejea kwenye kitambulisho kimoja kilichotolewa.
Moduli ya KYC Inayoweza Kutumika Tena
06 · Uamuzi wa webhook uliotiwa saini

Uamuzi uliotiwa saini. Orodha kamili ya mechi kama rekodi ya ukaguzi.

Webhook iliyotiwa saini inatua na uamuzi, Imeidhinishwa, Inakaguliwa, Imekataliwa, pamoja na orodha kamili ya session_ids zilizolingana na alama za kufanana. Thibitisha X-Signature-V2 na Hash-based Message Authentication Code (HMAC) SHA-256 kabla ya kusoma. Orodha ya kulinganisha ni ukaguzi wa nyaraka kwa mzozo wowote.
Marejeleo ya Webhook
Unganisha

Kipindi kimoja. Uamuzi mmoja uliotiwa saini. Orodha ya kulinganisha inakuja nayo.

Fungua usajili. Soma uamuzi uliotiwa saini. Orodha ya kulinganisha nyuso iko pale pale kwenye payload, zuia nakala, weka kumbukumbu ya kundi.
POST /v3/session/Utafutaji wa Nyuso
$ 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_sybil_gate",
    "vendor_data": "signup-A4",
    "metadata": { "surface": "airdrop_claim" }
  }'
201Imeundwa{ "session_url": "verify.didit.me/..." }
Usifungue akaunti hadi webhook itue status: Approved.nyaraka →
POST /webhooks/diditOrodha ya Mechi
// X-Signature-V2 verified upstream
if (payload.status === "Imekataliwa") {
  logCluster(payload.face_search.matches);
  blockSignup(payload.vendor_data);
} else if (payload.status === "Inaangaliwa") {
  queueForAnalyst(payload);
}
200OKHali Imeidhinishwa · Imekataliwa · Inaangaliwa · Haijakamilika
Thibitisha X-Signature-V2 kabla ya kusoma payload.nyaraka →
Ujumuishaji tayari kwa agent

Tuma Face Search 1:N sybil-gate kwa prompt moja.

Bandika kwenye Claude Code, Cursor, Codex, Devin, Aider, au Replit Agent. Jaza stack yako. Agent huunganisha workflow, hufungua session, husoma orodha ya mechi, na huzuia nakala.
didit-integration-prompt.md
You are integrating Didit Face Search 1:N to catch the same human opening many accounts on your platform — sybil airdrops, referral payout cycles, sign-up bonus stacking, iGaming multi-accounting that bypasses self-exclusion, marketplace fake-review clusters. One API call. One signed webhook. One decision.

WHY THIS SHAPE
  - Email, phone, device, IP can all be rotated cheaply. A human face cannot.
  - Every new sign-up captures one Passive Liveness selfie. Didit searches that selfie against the gallery of prior approved selfies under your account. A high-similarity match means the same person already has an account.
  - Face Search 1:N itself is FREE on every session — no per-search fee. Only the surrounding bundle (ID + Passive Liveness + AML) carries the usual cost. Use the full Know Your Customer (KYC) bundle on sign-up or the Passive Liveness + Face Search subset, depending on what the product needs.

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 that contains the Face Search 1:N module. Compose it with Passive Liveness so an attacker cannot upload a still photo of the target.
  - Define what a "match" means for your product. Default: similarity ≥ 0.85 = Declined. 0.75–0.85 = In Review. < 0.75 = Approved.

STEP 1 — Open the sign-up 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 Face Search 1:N + Passive Liveness>",
      "vendor_data": "<your new-account id, max 256 chars>",
      "callback": "https://<your-app>/sybil-gate/callback",
      "metadata": {
        "surface": "airdrop_claim",
        "campaign": "<your campaign id>"
      }
    }

  Response: 201 Created with a hosted session URL. Redirect inline (web) or open in a Software Development Kit (SDK) webview (mobile). The new account stays UNCREATED on your side until the signed webhook lands.

STEP 2 — 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, match case):
    {
      "session_id": "<uuid>",
      "vendor_data": "<your new-account id>",
      "status": "Declined",
      "face_search": {
        "matches": [
          { "session_id": "sess-9182", "similarity": 0.96, "vendor_data": "user-A1" },
          { "session_id": "sess-7733", "similarity": 0.94, "vendor_data": "user-A2" }
        ]
      }
    }

  Session status enum (exact case, Title Case With Spaces): Approved | Declined | In Review | Resubmitted | Expired | Not Finished | Kyc Expired | Abandoned.

STEP 3 — Branch the sign-up
  Approved   → no gallery match. Create the account.
  In Review  → soft match (similarity in your grey-zone band). Queue for human review.
  Declined   → hard match (similarity above your hard threshold). Block, log the matched session_id list as the audit trail.

STEP 4 — Cross-account link signals (optional but cheap)
  Compose Device & IP Analysis ($0.03 / call) in the same workflow. The decision payload surfaces device fingerprint, IP, Autonomous System Number (ASN), country, and city. Combine with your own payment-instrument hash and you can cluster sybils even before the face search confirms.

STEP 5 — Reusable KYC for legitimate cross-product re-entry
  If the user is supposed to reuse one identity across multiple products you own, Reusable KYC lets them replay a previously verified credential at no cost. That is different from sybil abuse — reuse is intentional and you control the issuance.

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
  - Sybil airdrop / token claims (one person · many wallets)
  - Self-referral payout cycles (sign-up bonus farms)
  - iGaming multi-accounting that bypasses self-exclusion
  - Marketplace fake-review clusters from a single human
  - DAO and community-vote stuffing
  - Welcome-bonus stacking on neobank / brokerage sign-ups

CONSTRAINTS
  - Session statuses use Title Case With Spaces. Never UPPER_SNAKE_CASE for session verdicts — that's the Transactions API.
  - Face Search 1:N WITHOUT Passive Liveness lets an attacker upload a still photo of the target. Always compose them together.
  - Thresholds are tunable per workflow. Start at 0.85 hard / 0.75 soft and adjust based on your false-positive tolerance.
  - The gallery is scoped to your account — no cross-customer leakage by design.

Read the docs:
  - https://docs.didit.me/sessions-api/create-session
  - https://docs.didit.me/core-technology/face-search/overview
  - https://docs.didit.me/core-technology/liveness/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.
Unahitaji maelezo zaidi? Tazama nyaraka kamili za moduli.docs.didit.me →
Inatii kwa muundo

Fungua nchi mpya kwa kubofya mara moja. Tunafanya kazi ngumu.

Tunafungua kampuni tanzu za ndani, tunapata leseni, tunafanya majaribio ya kupenya, tunapata vyeti, na tunalingana na kila kanuni mpya. Ili kusafirisha uthibitishaji katika nchi mpya, geuza swichi. Nchi 220+ ziko hewani, zinakaguliwa na kupimwa kila robo mwaka, mtoa huduma pekee wa utambulisho ambaye serikali ya nchi mwanachama wa EU imemwita rasmi kuwa salama zaidi kuliko uthibitishaji wa ana kwa ana.
Soma faili ya usalama na utiifu
EU financial sandbox
Tesoro · SEPBLAC · BdE
ISO/IEC 27001
Usalama wa habari · 2026
SOC 2 · Type I
AICPA · 2026
iBeta Level 1 PAD
NIST / NIAP · 2026
GDPR
EU 2016/679
DORA
EU 2022/2554
MiCA
EU 2023/1114
AMLD6 · eIDAS 2.0
EU-aligned kwa muundo

Namba za uthibitisho

Namba za uthibitisho
  • Free
    Kwa Face Search 1:N, hakuna ada kwa kila simu. Ni kifurushi tu kinachozunguka ndicho chenye gharama.
  • <0s
    Uamuzi wa Vector-search end-to-end kwenye Android ya kiwango cha chini.
  • iBeta L1
    Passive Liveness kwenye kila selfie, hakuna njia ya kupita picha tuli.
  • 0
    Uthibitishaji wa bure kila mwezi, kwenye kila akaunti.
Ngazi tatu, orodha moja ya bei

Anza bure. Lipa kulingana na matumizi. Panua hadi Enterprise.

Uthibitishaji 500 bila malipo kila mwezi, milele. Lipa kadri unavyotumia kwa uzalishaji. Mikataba maalum, uhifadhi wa data, na SLA (Service Level Agreements) kwenye Enterprise.
Bure

Bure

$0 / mwezi. Hakuna kadi ya mkopo inayohitajika.

  • Kifurushi cha bure cha KYC (Uthibitishaji wa Kitambulisho + Passive Liveness + Face Match + Uchambuzi wa Kifaa & IP), 500 / mwezi, kila mwezi
  • Watumiaji Waliozuiwa
  • Utambuzi wa Marudio
  • Ishara 200+ za udanganyifu kwenye kila session
  • KYC inayoweza kutumika tena kwenye mtandao wa Didit
  • Jukwaa la Usimamizi wa Kesi
  • Workflow Builder
  • Nyaraka za umma, sandbox, SDKs, server ya MCP (Model Context Protocol)
  • Usaidizi wa jamii
Anza bure
Maarufu zaidi
Lipa kulingana na matumizi

Kulingana na Matumizi

Lipa tu kwa unachotumia. Moduli 25+. Bei za umma kwa kila moduli, hakuna ada ya chini ya kila mwezi.

  • KYC kamili kwa $0.33 (Kitambulisho + Biometric + IP / Kifaa)
  • Data za AML 10,000+, vikwazo, PEPs, habari hasi
  • Vyanzo vya data vya serikali 1,000+ kwa Uthibitishaji wa Database
  • Ufuatiliaji wa Miamala kwa $0.02 kwa kila muamala
  • KYB ya moja kwa moja kwa $2.00 kwa kila biashara
  • Uchunguzi wa Wallet kwa $0.15 kwa kila ukaguzi
  • Mtiririko wa uthibitishaji wa Whitelabel, brand yako, miundombinu yetu
Tazama orodha kamili ya beiAnza bure
Biashara Kubwa

Biashara Kubwa

MSA & SLA maalum. Kwa idadi kubwa na programu zilizodhibitiwa.

  • Mikataba ya kila mwaka
  • MSA, DPA, na SLA maalum
  • Kituo maalum cha Slack na WhatsApp
  • Wakaguzi wa mikono wanapohitajika
  • Masharti ya muuzaji na white-label
  • Vipengele vya kipekee na ushirikiano wa washirika
  • CSM aliyetajwa, ukaguzi wa usalama, usaidizi wa kufuata
Wasiliana nasi

Anza bure → lipa tu wakati ukaguzi unafanyika → fungua Enterprise kwa mkataba maalum, SLA, au uhifadhi wa data.

FAQ

Maswali ya kawaida

What is Didit?

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:

  • Fast, sub-2-second p99 on every session
  • Reliable, in production with 1,500+ companies across 220+ countries
  • Secure, SOC 2 Type 1, ISO 27001, GDPR-native, and formally attested by Spain's financial regulator as safer than verifying someone in person

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.

What is a sybil attack?

A sybil attack is when one human creates many accounts to pretend to be many humans. The name comes from a 1973 case study of a patient with dissociative identity disorder. In product terms it shows up as one person claiming an airdrop ten times, stacking ten sign-up bonuses, or stuffing a leaderboard with ten "different" wins.

The attack works because every other identifier, email, phone, device, Internet Protocol (IP) address, can be rotated for cents. The one identifier that cannot be cheaply rotated is the attacker's own face.

Why is email and phone defence not enough?

A sybil farmer in 2026 can buy:

  • 10,000 throwaway email aliases for under \$50
  • 10,000 Subscriber Identity Module (SIM) cards or virtual numbers for under \$200
  • A residential-proxy Virtual Private Network (VPN) subscription for under \$100 / month
  • A second-hand or virtualised device pool for a few hundred dollars

The whole operation pays back if a single sybilled airdrop or bonus is worth more than the kit. Face Search 1:N takes the face, the one thing the farmer cannot cheaply duplicate, and turns it into the unique key.

How fast is the verification for my end user?

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.

How is Face Search 1:N different from Face Match 1:1?

Different question, different math.

  • Face Match 1:1 asks "is this the same person as the one selfie I have on file?" Used at account-takeover step-up, where the comparison target is the user's own enrollment portrait.
  • Face Search 1:N asks "is this person already in my gallery of N enrolled humans?" Used at sign-up, to surface duplicates across all prior accounts.

The 1:1 check costs \$0.05 per match. Face Search 1:N is free per search, only the surrounding bundle (ID Verification, Passive Liveness) carries cost.

What happens if a user fails, abandons, or expires?

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.

Where does my customer data live and how is it protected?

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.

Is Didit compliant for my industry?

Didit ships compliant by default for the regulators that matter to identity infrastructure:

  • GDPR + UK GDPR, controller / processor split, full Data Processing Agreement published, lead supervisory authority named (Spain''s AEPD).
  • AMLD6 + EU AML Single Rulebook, 1,300+ sanctions, politically exposed person, and adverse-media lists screened in real time.
  • eIDAS 2.0, EU Digital Identity Wallet aligned; reusable-identity ready.
  • MiCA (Markets in Crypto-Assets), ready for crypto on-ramps, exchanges, and custodians.
  • DORA, Digital Operational Resilience Act, EU financial-services operational resilience.
  • BIPA, CUBI, Washington HB 1493, CCPA / CPRA, US biometric privacy (Illinois, Texas, Washington) and California consumer privacy.
  • UK Online Safety Act, age-gating and child-safety obligations.
  • FATF Travel Rule, originator and beneficiary data on crypto transfers, IVMS-101 interoperable.

Detailed memo, every certificate, every regulator letter: /security-compliance.

How fast can I integrate and start verifying users?
  • 60 seconds to a sandbox account at business.didit.me, no credit card.
  • 5 minutes to a working verification through Claude Code, Cursor, or any coding agent via our Model Context Protocol (MCP) server.
  • A weekend to a production-ready integration with signed-webhook verification, retries, and a remediation flow when a user is declined.

Three integration paths, pick whichever fits your stack:

  • Embed natively with our Web, iOS, Android, React Native, or Flutter SDK.
  • Redirect the user to the hosted verification page, zero SDK.
  • Send a link by email, SMS, WhatsApp, or any channel, zero front-end work.

Same dashboard, same billing, same pay-per-success price for all three. Step-by-step guide at docs.didit.me/integration/integration-prompt.

How do I tune the match thresholds?

Face Search 1:N returns a similarity score between 0 and 1 per match. You set two thresholds per workflow:

  • Hard threshold (default 0.85): scores at or above → Declined. Auto-block the sign-up.
  • Soft threshold (default 0.75): scores between soft and hard → In Review. Queue for analyst.
  • Below soft: Approved. No duplicate found.

Start at the defaults. If you see too many false positives (real twins, real strong family resemblance), raise the hard threshold. If duplicates slip through, lower it. Tune in the Workflow Builder, no redeploy needed.

What does the recipe cost?

Two line items per new sign-up:

  • Passive Liveness: \$0.10 per check
  • Face Search 1:N: \$0.00 per search (free, no per-call fee)

Around \$0.10 per protected sign-up. Add Device & IP Analysis at \$0.03 if you want device + IP link signals for clustering. The first 500 verifications every month are free on every account.

No minimums, no annual commitment, no per-seat pricing.

Which industries run this recipe?

Anywhere multiplying accounts has economic value:

  • Web3 / crypto airdrops, to keep one human from claiming an allocation N times
  • Marketplace + creator-economy referral programs, to kill self-referral payout cycles
  • iGaming, to enforce self-exclusion that the user themselves requested
  • Fintech / neobank welcome bonuses, to prevent the same human stacking ten sign-up rewards
  • DAO / community voting, to make one-vote-per-human stick
  • Marketplace review systems, to kill 5-star clusters from one human

One integration, every surface.

Related

Moduli zinazohusiana + workflows

Miundombinu ya utambulisho na udanganyifu.

API moja kwa KYC, KYB, Ufuatiliaji wa Miamala, na Uchunguzi wa Wallet. Unganisha ndani ya dakika 5.

Anza bila malipoZungumza nasi
Uliza AI ifupishe ukurasa huu