Verisoul

Verisoul

Verisoul is a no-code fake account detection platform that combines device fingerprinting, account linking, bot detection and optional identity checks in one

54/100MonitorFree · from $189/mo billed annually ($199/mo month-to-month)Freemium

If fake signups, referral abuse or multi-accounting is your problem, Verisoul's per-MAU pricing and no-code decision rules remove the two things that stall fraud projects: engineering queues and unpredictable API bills. Its published case studies show Copper choosing it against Sardine, Socure and Fingerprint, and Clay reporting $150K saved per month. The honest caveats: Starter ($0/mo) is dashboard-only with no API access, ID Check is $0.25 per check on top of your plan, and Business is $350/mo billed annually or $399/mo month-to-month. Treat the competitor bake-off results as directional customer claims.

Verified 9h ago · liveness 54/100 · cite: rightaichoice.com/tools/verisoul

Best for
  • Consumer platforms with rapid signup growth fighting fake accounts
  • Fintech and ecommerce teams reducing payment fraud and chargebacks
  • Gaming, social and community platforms filtering bot and AI-agent traffic
  • Marketplaces and loyalty programmes blocking referral abuse and reward farming
Not ideal for
  • Teams that need on-premise or private cloud deployment, since Verisoul is cloud-only
  • Buyers who need full KYC orchestration rather than fake-account detection
  • Companies expecting bundled identity verification, since FaceMatch and ID Check are per-check add-ons
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Beginner-friendlySelf-serve evaluation on Starter ($0/mo, no API access) takes under an hour to get a dashboard view of live traffic. Professional and above with API integration typically reaches first blocked-signup value in a day or two, since rules are configured in the no-code dashboard rather than in code. Teams adding ID Check or FaceMatch should budget another day for flow design and testing.Web · Mobile · APIAPI availableVerified 9h ago
Pricing
Free · from $189/mo billed annually ($199/mo month-to-month)
FreemiumFree tier4 plans6 hidden costs
Learning curve
Beginner-friendly
Self-serve evaluation on Starter ($0/mo, no API access) takes under an hour to get a dashboard view of live traffic. Professional and above with API integration typically reaches first blocked-signup value in a day or two, since rules are configured in the no-code dashboard rather than in code. Teams adding ID Check or FaceMatch should budget another day for flow design and testing.
Runs on
WebMobileAPI
API available
Who it's for
Head of Growth at a consumer social app with 80K MAUFraud analyst at a marketplace dealing with account farmingPayments risk lead at a fintech onboarding new users
Live sentiment
Is Verisoul actually worth it?

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Skip it if

Skip Verisoul if you need on-premise or private-cloud deployment, want identity verification bundled into the base price rather than billed per check, or you're under 1K MAU and need API access on day one (Starter is dashboard-only at $0/mo).

The 30-second take
Biggest gripe

ID Check bills at $0.25 per check on top of your plan, so a high-volume verification flow adds a separate line item you didn't see in the seat price.

Price reality

Professional at $189/mo billed annually ($199/mo month-to-month) plus $0.02 per MAU fits seed-to-Series-B consumer platforms; Business at $350/mo billed annually ($399/mo month-to-month) suits teams that need branding removal and unlimited dashboard seats. That's cheaper and faster to deploy than enterprise suites like Sardine or Socure, and comparable to point tools like Fingerprint or IPQS once you count the three or four vendors Verisoul replaces.

In short

Verisoul — Verisoul is a no-code fake account detection platform that combines device fingerprinting, account linking, bot detection and optional identity checks in one. Best for Consumer platforms with rapid signup growth fighting fake accounts, Fintech and ecommerce teams reducing payment fraud and chargebacks, Gaming, social and community platforms filtering bot and AI-agent traffic. Free to start; paid plans from $189/mo.

Viability Score

54/100
Monitor

How well maintained and how widely used is Verisoul? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
20

Last calculated: October 2026

How we score →

Key Features

  • No-code fraud decision rules on dozens of signals and custom fields
  • Unified dashboard for fraud analytics, reporting and user investigation
  • Device fingerprinting returning match probabilities instead of device IDs
  • Account Linking visualises user networks to stop multi-accounting
  • Bot detection for AI agents and automation without user friction
  • Email intelligence blocking disposable and high-risk signups
  • Phone Intelligence flags VoIP, SIM farms and burner numbers
  • Proxy and VPN detection via active network testing, not IP blocklists
  • Device risk forensics for anti-detect browsers, VMs and emulators
  • Geolocation spoofing detection with un-spoofable location signals
  • AI Fraud Agents that automatically investigate users and analyse data
  • Account Graph visualisation of coordinated multi-account networks
  • FaceMatch add-on verifying unique faces via selfie in 10 seconds
  • ID Check add-on validating documents in 30 seconds at $0.25 per check
  • Flexible APIs to embed signals into support systems and internal dashboards

About Verisoul

FreemiumBeginner-friendlyAPI availableWeb · Mobile · API

Verisoul is a fraud prevention platform built for one job: catching fake accounts, bots, duplicate signups and multi-accounting before they cost you money. Instead of stitching together a device fingerprinting vendor, an email risk API and a separate identity-check provider, you get device fingerprinting, account linking, bot detection, email and phone intelligence, proxy and VPN detection, device risk forensics and geolocation spoofing detection in a single dashboard. Growth-stage consumer platforms and enterprise fraud teams use it to filter non-human traffic silently, without adding friction for real users. The core platform runs on real-time and identity signals. Device fingerprinting returns match probabilities rather than raw device IDs, which cuts false positives and spares your engineers from writing matching logic. Account Linking visualises user networks to expose who is actually behind a screen, so referral abuse and account farming become visible rather than inferred. Proxy and VPN detection leans on active network testing instead of stale IP blocklists, so it catches residential, mobile and never-before-seen proxies. Optional add-ons push into full identity verification: FaceMatch verifies a unique face via selfie in 10 seconds, ID Check validates documents in 30 seconds, and Phone Intelligence flags VoIP, SIM farms and burner numbers. Pricing is per monthly active user rather than per API call, a deliberate contrast with consumption-priced point solutions. Starter is dashboard-only with no API access, and dashboard seats scale from one user up to unlimited on Business and Enterprise. The company announced a $9M Series A, and its published case studies include Clay at $150K saved per month, Lemlist at $190K saved in its first eight months, and Copper winning a bake-off against Sardine, Socure and Fingerprint. Those figures are customer-reported, not independently benchmarked.

Behind the Verdict

Verisoul sells one idea clearly: fake accounts are a signal-breadth problem, and buying six point tools creates six bills, six integrations and six sets of false positives. The platform answers with device fingerprinting that returns match probabilities instead of device IDs, Account Linking that visualises user networks so you can see coordinated multi-accounting, and proxy/VPN detection built on active network testing rather than IP blocklists that age out within weeks. Email intelligence scores email age, domain reputation and social footprint; Phone Intelligence cross-references carrier data with social accounts to flag VoIP, SIM farms and burner numbers; Device Risk forensics look for anti-detect browsers, virtual machines and emulators. Bot detection is positioned at AI agents and automation specifically, which matters more in 2026 than legacy bot rules built for headless Chrome. Where it goes beyond detection is the agentic layer. AI Fraud Agents automatically investigate users and analyse data, and the AI Fraud Analyst handles unlimited investigations on Professional and above, so a fraud analyst without engineering support can pull a case without filing a ticket. That is the real differentiator against enterprise suites: time-to-value, not feature count. Strengths: predictable cost per monthly active user rather than per API call; no-code rules that a fraud lead can edit; breadth of real-time plus identity signals in one place; optional FaceMatch (10-second selfie) and ID Check ($0.25 per check, 30 seconds) if you need it; dashboard seats from one on Starter up to unlimited on Business and Enterprise. Weaknesses to weigh honestly: Starter at $0/mo has no API access and keeps Verisoul branding, so it is an evaluation tier, not a production one. Identity verification add-ons are priced per check and can add up at volume. Custom models, SAML SSO and a dedicated analytics partner sit behind Enterprise (custom pricing). Verisoul is cloud-only, so on-prem or private-cloud requirements disqualify it. The vendor's own limitations note MAU-based pricing can get expensive at very large user bases unless you move to Enterprise. Where it fits: consumer platforms, marketplaces, gaming, social, loyalty and referral programmes, fintech and ecommerce teams where the enemy is fake signups, account farming and payment fraud rather than full KYC orchestration. Where it does not: teams needing on-prem deployment, teams that want identity verification bundled rather than per-check, or companies running under 1K MAU that need API access on day one.

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Real-world workflow fit

Concrete scenarios for the personas Verisoul actually fits — and what changes day-one when you adopt it.

Head of Growth at a consumer social app with 80K MAU

Signup fraud is inflating DAU numbers and referral payouts. You deploy Verisoul on registration, set a no-code rule that blocks signups where device match probability is high and the email domain is disposable, and route anything ambiguous to the AI Fraud Analyst for review.

Outcome: Fake signups stop reaching your database without adding a CAPTCHA, and your team reviews only the flagged cases in the dashboard instead of auditing every registration.

Fraud analyst at a marketplace dealing with account farming

Sellers are running multiple accounts to game ratings. You open Account Linking and Account Graph, cluster the accounts sharing device and network attributes, and use the AI Fraud Analyst to pull the supporting signal history for each cluster.

Outcome: You produce a documented ban list of linked accounts in an afternoon, with the underlying signals attached, rather than guessing from IP logs.

Payments risk lead at a fintech onboarding new users

Chargebacks are climbing. You add ID Check at $0.25 per check on the highest-risk segment only, keeping the rest of the funnel on device and phone signals, and combine document validation with the existing device data to catch synthetic identities.

Outcome: Document checks run only where risk justifies the cost, so verification spend stays proportional to exposure while synthetic signups get caught before first deposit.

Use Cases

Limitations

  • Verisoul is cloud-only, so there's no on-prem or private-cloud option.
  • The free Starter tier ($0/mo) has no API access and keeps Verisoul branding, so it works as an evaluation tier rather than a production one.
  • Custom models, SAML SSO and a dedicated analytics partner are gated to Enterprise, which is custom-priced.
  • Identity verification add-ons are priced per check, and ID Check runs $0.25 per check, which can add meaningful cost at volume.
  • Per-MAU pricing can grow expensive for very large user bases unless you move to Enterprise.
  • In this scrape no native CRM, CDP or ticketing connectors were documented.

as of 2026-10-08

Verification history

We have re-verified Verisoul 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-checked, vendor evidence unchanged
  3. — re-checked, vendor evidence unchanged
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-checked, vendor evidence unchanged

Showing the 6 most recent of 9 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Verisoul tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Starter

$0/mo

Ideal for

Teams under 1K MAU evaluating Verisoul before a production rollout, who only need dashboard visibility into signup quality.

What this tier adds

Free entry point: up to 1K monthly active users, dashboard only, no API access, Verisoul branding retained.

Professional

$189/mo billed annually ($199/mo month-to-month)

Ideal for

Seed-to-Series-B consumer platforms with a real signup fraud problem that need API access and a small fraud team on the dashboard.

What this tier adds

Adds API access, up to 5 dashboard users, unlimited AI Fraud Analyst investigations and same-day Slack support at $0.02 per MAU.

Business

$350/mo billed annually ($399/mo month-to-month)

Ideal for

Growth-stage companies whose fraud team has outgrown 5 seats and who need unbranded user-facing checks.

What this tier adds

Adds unlimited dashboard users, removal of Verisoul branding and 6-hour Slack support on top of all Professional features.

Enterprise

Custom

Ideal for

Large or regulated organisations that need SSO, custom detection models and a named analytics partner.

What this tier adds

Custom pricing tier adding SAML SSO, unlimited users and API calls, real-time Slack support and custom models and analytics.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • ID Check bills at $0.25 per check on top of your plan, so a high-volume verification flow adds a separate line item you didn't see in the seat price.
  • FaceMatch is a per-check add-on too, so budget for identity verification separately from your monthly plan fee.
  • Starter's $0/mo tier has no API access, so any real production integration forces an upgrade to Professional at $189/mo billed annually ($199/mo month-to-month).
  • Professional caps dashboard users at 5; going beyond that means moving to Business at $350/mo billed annually ($399/mo month-to-month).
  • SAML SSO, custom models and a dedicated analytics partner sit behind Enterprise (custom pricing), so security-conscious teams can't stay on a published tier.
  • Per-MAU pricing means a viral signup spike raises your bill the same month, unlike a flat API-call allowance.

Where the pricing makes sense

The company stage and team size where Verisoul's pricing actually pencils out — and where peers do it cheaper.

Professional at $189/mo billed annually ($199/mo month-to-month) plus $0.02 per MAU fits seed-to-Series-B consumer platforms; Business at $350/mo billed annually ($399/mo month-to-month) suits teams that need branding removal and unlimited dashboard seats. That's cheaper and faster to deploy than enterprise suites like Sardine or Socure, and comparable to point tools like Fingerprint or IPQS once you count the three or four vendors Verisoul replaces.

Setup time & first value

How long it actually takes to get something useful out of Verisoul — broken out by persona, not the marketing-page minute.

Self-serve evaluation on Starter ($0/mo, no API access) takes under an hour to get a dashboard view of live traffic. Professional and above with API integration typically reaches first blocked-signup value in a day or two, since rules are configured in the no-code dashboard rather than in code. Teams adding ID Check or FaceMatch should budget another day for flow design and testing.

Switching to or from Verisoul

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From IPQS: Verisoul publishes case studies of Wiza, Benjamin and AdsendMedia switching from IPQS, with proxy detection replacing IP blocklists as the main driver.
  • →From Fingerprint: map existing device-matching rules onto Verisoul's match-probability model, which removes the need for custom matching logic in your codebase.
  • →From Sardine or Socure: start with real-time signals on registration only, then add identity checks once the dashboard shows your actual fake-account rate.
  • →From in-house device fingerprinting: port your custom signals as custom fields in the no-code rule builder instead of maintaining a matching service.
Migrating out
  • ↗To Fingerprint: if you only need device fingerprinting, a point tool may cost less than a full platform subscription.
  • ↗To Sardine or Socure: if you need full KYC orchestration and case management beyond fake-account detection, an enterprise suite covers more of the workflow.
  • ↗To IPQS: only if price per API call matters more than proxy detection accuracy and you accept blocklist-based coverage.
  • ↗To an in-house build: viable only if you have engineers to maintain fingerprint matching, proxy detection and email reputation data continuously.

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Verisoul”, and we withheld 6: 6 could not be judged, because “Verisoul” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Verisoul.

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