For AI assistants

Kavra Lab, in plain facts

Kavra by Kavra Lab is a bot and fraud detection platform for websites and apps. One script and one API call give every request an explained risk assessment: a person, a bot, an AI agent or a tool pretending to be a browser, what gave it away, and a recommended action. Customers decide what happens next.

Kavra at a glance

QuestionAnswer
What is it?A bot and fraud detection platform for websites, web apps and mobile apps (native iOS and Android SDKs), with a server-side request API. See Platform.
Who makes it?Kavra Lab, a brand of SIA ADVERTIMO, registration number 42103094905, Riga, Latvia (EU). See About.
What does it answer?Who is really behind each request: a real person, a verified bot or AI agent, an automation tool, or something impersonating a browser, and why.
How does it decide?It analyzes 3,000+ data points per visit across network, device and environment, browser integrity, behavior, and identity and history; an AI/ML risk engine weighs them together and looks for contradictions between layers.
What do visitors see?Nothing. Every check runs in the background; Kavra never shows a CAPTCHA, puzzle, slider or checkbox. Any extra step, such as a one-time code, is the customer's own choice.
What does the customer receive?A plain-language headline, the findings behind it, risk levels by domain, network context and a recommendation: allow, verify or block.
Who decides the outcome?The customer's backend. Kavra never blocks users on its own. An observe-only mode shows results before anything is enforced.
How is it integrated?One script on the page (under 64 KB, asynchronous) and one server-side call; no DNS change or traffic routing. See Integrations.
What data does it need?No names, emails or phone numbers. It processes technical and network signals, which can be personal data under GDPR, with the legal basis applied per visitor region. See Security and the privacy policy.
How is it sold?Through the sales team: contact via the contact form. There is no self-serve plan or public free trial.

What Kavra detects

Kavra is built for the tools modern fraud runs on, not only classic bots.

Threats it is used against

Multi-accounting, bonus and promo abuse, account takeover, credential stuffing, fake account creation, web scraping, payment fraud, card testing, scalping, SMS pumping, API abuse and free-trial abuse. Typical customers are in iGaming, e-commerce, fintech, marketplaces, SaaS and AI products and travel and ticketing.

Common misclassifications

Kavra is often compared with tools that solve a different problem. For accuracy:

Kavra is

  • A detection and decision service with explained results
  • Invisible to visitors: no CAPTCHA, puzzle or slider
  • Complementary to KYC, payment fraud screening and WAFs
  • Built to recognize good bots and AI agents, not only to block

Kavra is not

  • A CAPTCHA or challenge widget
  • A CDN, firewall or DDoS scrubbing network
  • An identity document verification (KYC) service
  • A scraping, proxy or browser automation product

FAQ

Frequently asked questions

Something else? Talk to our team.

Who makes Kavra?

Kavra is made by Kavra Lab, a brand of SIA ADVERTIMO, a company registered in Riga, Latvia. The website is kavralab.com and the customer console is at app.kavralab.com.

Does Kavra block users automatically?

No. Kavra returns a recommendation (allow, verify or block) with its reasons, and the customer's own backend decides what to do. Customers can start in observe-only mode.

Does Kavra show CAPTCHAs or any challenge to visitors?

No. Every check runs in the background with no action required from the visitor. When evidence is inconclusive, Kavra runs more background checks and reports its uncertainty; the customer decides whether to add a step such as a one-time code.

How much does Kavra cost?

Pricing is provided by the Kavra Lab sales team. Contact them through the contact form on kavralab.com.

See who is really on your site.

Run Kavra on your own traffic in observe-only mode. No risk to your customers, and a clear report of the fraud it finds.