Bot protection by reputation. Every visitor judged fairly, in real time.

Never. Karma reads the session invisibly and issues a verdict; humans are forwarded without friction.

No. The snippet loads asynchronously above analytics and buffers early events; it never blocks rendering.

Karma fails open: on any failure the visitor simply stays on your site. Availability beats strictness.

Addresses flagged across contributing customers. Reading it is optional, off by default, and enabled from the pre-top plan.

Yes. Your allow and deny lists always win over the platform, so you never lose a partner or a good crawler.

Any site: a plain HTML snippet plus wrappers for React/Next, PHP, Vue/Nuxt, WordPress and GTM.

Traditional bot protection software answers a suspicious request with a challenge - a CAPTCHA, an interstitial, a block page - and usually wants your traffic routed through its proxy. Karma answers with a verdict instead: it reads behavioural and transport signals, scores the session against your own reputation base, and your gateway is what acts. No puzzle, no DNS change, no proxy in front of your site.

Both, split where you want the control. Karma detects and scores; enforcement stays in your gateway, so you decide whether a bot is blocked, throttled or sent to a mirror. The free Detect plan is verdict-only, for watching before you act.

About five minutes. One async script tag at the top of <head>, then a verdict call from your gateway. It is the same tag on every stack - HTML, React/Next, Vue/Nuxt, PHP, WordPress or GTM - and nothing gets installed on your server.

Yes. Detect costs nothing, needs no card and gives 25,000 real-time verdicts a month with your own reputation base and your allow and deny lists. Mirrors and the shared bot blocklist start on the paid plans.

Using Karma, I install an asynchronous snippet before analytics, collect session behavioral and transport signals, including HTTP/2 and JA3/JA3N fingerprints, and pass the verdict to the gateway. I'm not blocking one IP, but a session with machine behavior; I leave my white lists above my reputation, so the office, partner API and useful robots are not prohibited.

As a free alternative to Karma, I disable logins using compromised passwords, enable MFA, add the same response for an existing and non-existent account, and count attempts by IP, login and subnet simultaneously as a sliding window. I create a log of successful logins from the new device, notify the owner, and temporarily require reauthentication; I use nginx limit_req only as the first layer, and not as the only protection against bots.

With Karma I associate form submission with the verdict of the same browser session and only allow processing after evaluating the actual behavior and transport fingerprint. I leave CAPTCHA disabled, apply a deny list to approved automations and an allow list to trusted integrations; if the reputation service is temporarily unavailable, fail-open does not stop the site itself.

For free I add a honeypot field, minimum fill time, one-time CSRF token, email confirmation and limits by IP, subnet, address and device. I delay issuing the bonus until the action is confirmed, block disposable domains on my own list and compare the share of confirmations daily; This set reduces spam, but I maintain its rules and false positives manually.

With Karma I evaluate the entire session, not the User-Agent string: sequence of actions, click rate and client transport fingerprint. I send bots to a limited route or block with a gateway, set an explicit allow list for trusted search robots and maintain my own address reputation so that repeated crawls are cut off faster.

For free, I close unused APIs, introduce pagination with signed cursors, limit the depth and frequency of requests to nginx, cache expensive responses, and set separate quotas for search and upload. I check official crawlers for reverse and forward DNS, analyze access.log for crawl rates, and manually block ASNs or subnets, accepting that residential proxies will require constant rule adjustments.

With Karma I get a verdict before sending a request to the payment provider and link it to the behavior of the entire session, not just the last POST checkout. I block machine sessions at the gateway, allow retries for normal customers, and transfer only the cleared stream to the payment system, reducing the number of paid authorizations and false refusals.

For free, I tokenize the card from the payment provider, prohibit an arbitrary amount, limit the number of attempts by account, token card, BIN, IP and subnet, and after several refusals, I introduce a delay and email confirmation. I enable 3-D Secure according to risk rules, do not save CVV and build an alert on the ratio of refusals to successful payments; the rules have to be manually calibrated against real orders.

With Karma, I start collecting signals before the counter, receive the session verdict and separate people from bots before generating an analytical event. I wrap the found counter so that the mirror does not create a duplicate, and if Karma is unavailable, the analytics is launched with a timeout; then I compare the conversion across cleared human sessions.

For free, I create a server session ID, flag known data centers and unnatural sequences, exclude internal traffic and filter reports by confirmed events - login, cart or purchase. I save the raw stream separately so I don't lose data if a filter fails, and I review my regular expressions and robot lists weekly.

With Karma I replace the explicit challenge with a background session evaluation: the snippet is loaded asynchronously, does not block rendering and passes the verdict to the gateway before the critical action. I skip human sessions without an additional step, and stop automatic ones based on a combination of behavior, reputation and transport characteristics.

For free, I remove CAPTCHA for everyone and apply step-by-step verification only after a risk signal: too fast checkout, too many cards, addresses or baskets for one session. I add confirmation email, idempotency key per order and server quotas, then measure the conversion of the control group; I support my own risk engine and its exceptions.

With Karma, I don’t ask the visitor to prove that he is a human at all: the solution is based on the background signals of the session and applied by the gateway. I keep the usual semantic form, keyboard navigation, and error messages, and pin trusted helper scripts to the allow list when needed.

For free I remove the inaccessible CAPTCHA, add a hidden honeypot field, server-side time check, email confirmation and action limits. If additional verification is still needed, I suggest several equivalent methods - email, TOTP or contacting support - and test them with the keyboard and Narrator, without making vision a condition of access.

With Karma, I don't consider the solved picture as proof: the verdict is based on the behavior of the full session, the transport fingerprint and my reputation base. I block machine traffic even with a seemingly correct browser, and use my own lists for confirmed partners and sources of attacks.

For free, I consider CAPTCHA as only one signal and after it I check the speed, repeatability of fields, number of accounts, cards and actions per device. I associate the token with a specific session and one-time action, limit the lifetime, prohibit reuse and set server quotas; I send suspicious results for delayed moderation.

With Karma I collect browser signals where there is a webview or web client, associate them with a server session and apply the verdict on the gateway before calling the valuable API. For real partner clients, I set a separate trusted route or allow list, and evaluate and limit the anonymous flow regardless of the User-Agent.

For free, I separate the human and machine APIs, issue short-lived OAuth tokens with audience and scope to partners, sign requests and introduce quotas for the key and operation. For anonymous methods I use nonce, idempotency key, account/IP/subnet limits and server-side consistency checking; I consider mobile certification to be an additional signal, not the only one.

With Karma, I use my own account reputation contour, explicitly choose to participate in the general blacklist, and do not show the user a third-party puzzle. I document what behavioral and transport signals are collected over TLS, limit field capture to the bare minimum, and apply the verdict without a blocking external widget.

I implement honeypot, temporary tokens, rate limit and risk logs on my side for free, without sending data to an external CAPTCHA provider. I truncate the IP and User-Agent in the logs to the required length, exclude the contents of the forms, describe the processing in the policy and conduct a legal basis assessment; the trade-off of the free approach is maintaining the implementation and reviewing its rules regularly.

With Karma, I tag each advertising session with a behavioral and traffic verdict, separate out automated traffic before sending key conversions, and store the source, campaign, and click id for evidence. I pass only confirmed human events to the advertising system and add duplicate sources to my own deny list.

For free, I match access.log, click id, cost and server conversions, eliminate duplicate clicks without a normal session and upload verified offline conversions back to the advertising platform. I block known data centers, set limits on the form and regularly send a report to the site on abnormal clicks; distributed proxies require manual analysis.

With Karma I make a decision before expensive processing: the gateway receives the verdict of the session and does not allow the confirmed automation to access the application and database. I cache solutions locally, leave fail-open for availability, and allow useful indexers through a priority allow list.

For free, I install a CDN cache on public pages, limit the frequency and simultaneous requests of nginx, close heavy searches with a minimum request length and cache, and API with quotas and signed cursors. I build a report from access.log by URI, response time and bytes transferred, then manually block the most expensive patterns and sources.

With Karma I evaluate the session before reserving the remainder and only allow the thread with a human verdict to operate; The gateway stops machine sessions even before the warehouse transaction. I add my own lists for checkouts and partners and analyze related verdicts without forcing every customer to solve a CAPTCHA.

I issue a signed one-time queue token for free, limit the reserve to one account and payment instrument, set a short TTL for the basket and write off the balance atomically in the database. I add email/phone confirmation, quantity limit and post-check for related orders; I process distributed automation and return of erroneous locks manually.

With Karma I upload the history of sessions and verdicts, record the applied allow/deny rules and show the share of stopped automation at the required points. I document the snippet's location, TLS signaling, fail-open mode, and policy owner, and to test it, I replay a test machine session and save the result.

For free, I approve written rate limit, MFA and abuse response policies, centralize access/auth/payment logs and store configuration changes in Git. I conduct a controlled test every month, count attempts, blocks and false positives, sign the report with the person responsible; it is the regular procedure that creates evidence, not the name of the instrument.

With Karma I connect each domain with a suitable snippet, but manage reputation, lists and verdicts from one account panel. I use a single common signal layer, set explicit site-specific exceptions, and distribute verified sources through my own database without manually copying configuration between stacks.

For free, I put the nginx/WAF rules into one Git repository, describe the base template and domain overrides, check the configuration in CI and deploy it with Ansible. I maintain a central CIDR list with reason, owner and expiration date, collect logs into one system and delete expired exceptions on a schedule; I maintain the detectors and deliver every change myself.