Context-aware inquiry analysis
Kanshi reviews whether a message belongs on the website it was sent to, not just whether it contains obvious spam words.
Kanshi understands the website it protects, then uses AI to review incoming messages, comments, and form submissions in context. Keep real customers, clients, and readers visible while fake leads, irrelevant pitches, and suspicious interactions get filtered first.
Start with a 10-day free trial, no credit card required. Upgrade anytime during or after your trial.
Traditional spam filters look for suspicious words. Kanshi looks at whether the interaction belongs on your website, then helps you keep real opportunities visible.
Kanshi builds context around what your website does, who it serves, and what a useful inquiry should usually look like.
Each incoming interaction is analyzed against that context, then classified as legitimate, fake, unrelated, suspicious, or spam.
Your console shows the decision, confidence level, category, and plain-language reason so your team can trust what was allowed or blocked.
Spend less time sorting junk submissions and more time on the inquiries that actually belong. Kanshi keeps the judgment clear, reviewable, and built around the purpose of your site.
Kanshi reviews whether a message belongs on the website it was sent to, not just whether it contains obvious spam words.
Protect your inbox from fake leads, irrelevant pitches, bot-like comments, scam probes, and suspicious website interactions.
Every detection includes the reason, category, confidence level, and action so your team knows what happened.
Catch suspicious messages that look convincing at first glance when the submitted email address carries spam, scam, or fraud signals.
Built for author sites, portfolios, service businesses, lead forms, quote requests, and multi-site operations where junk submissions cost time.
Test Kanshi on real submissions with a 10-day free trial, then upgrade only when the filtering proves useful.
Kanshi protects different kinds of websites because it learns what each one is actually for, then judges incoming interactions against that purpose.
Kanshi can tell the difference between a real, sensitive service inquiry and an unrelated marketing pitch trying to use the same contact form.
A message that might sound genuine somewhere else can be flagged when it has nothing to do with castings, parts, restoration, or quote requests.
Personal sites can filter low-quality interactions while preserving the interviews, speaking requests, and reader messages that actually belong.
Start with one 10-day free trial, no credit card required. Test Kanshi on real submissions, review the decisions, and upgrade only when the filtering proves useful.
A practical first layer of AI filtering for business inquiry forms, quote requests, and contact pages.
No credit card required.
Higher volume plus deeper sender-level detection for convincing spam, fake leads, and suspicious contact details.
No credit card required.
Kanshi is built for the messy space between obvious spam and genuine opportunities.
No. Kanshi focuses on website interactions such as inquiries, comments, contact messages, and submitted content. It helps decide whether the interaction belongs on the website before you or your team spend time on it.
Kanshi builds context around the website it protects: what the site is about, who it serves, and what a genuine inquiry should usually look like. The AI then compares each incoming interaction against that context.
It checks whether the email address entered with an inquiry has recent spam, scam, or fraud activity. That helps catch convincing messages from contact addresses that are already suspicious.
Yes. Personal sites can protect reader messages, comments, portfolio inquiries, and speaking requests. Business sites can protect lead forms, quote requests, service inquiries, and sales conversations.
No. Start with one 10-day free trial, then upgrade during or after the trial when Kanshi has proven useful for your website.
Start with a 10-day free trial, no credit card required. Review the decisions, see what Kanshi would filter, and upgrade only when the protection proves useful for your website.