Fake enquiries and quote requests
Identify low-intent contact attempts before they become sales follow-up.
Kanshi controls which form submissions and lead workflows are allowed into CRM, inbox, database, and follow-up systems.
Kanshi is a layer after CAPTCHA, WAF, IP blocking, and rate limiting. It decides whether the submission should enter the business pipeline.
Kanshi helps teams allow valid leads, reject fake submissions, and route uncertain cases to review.
Contact forms are one application. The same context engine can validate reviews, listings, tickets, applications, and community content.
Identify low-intent contact attempts before they become sales follow-up.
Catch polished synthetic content that avoids obvious keyword patterns.
Check whether public contributions are authentic, relevant, and useful.
Flag scam listings, suspicious vendors, and content that does not fit the marketplace.
Separate real customer requests from fake, duplicate, or off-topic submissions.
Screen user registrations, vendor applications, job applications, and public forms.
Review edits and article suggestions for relevance before they affect public content.
Add context-aware screening to healthcare, finance, insurance, government, and legal forms.
Use Kanshi in contact forms, quote requests, bookings, support requests, registrations, and custom lead pipelines.
I need help restoring my account access after changing my email.
The replacement part arrived on time and fit the older model correctly.
Our billing page shows two failed invoices after updating the card.
Lightly used commercial mixer with serial number and pickup details.
POST /api/validate
{
"type": "contact_form",
"site_context": "Local service business accepting quote requests",
"content": "I need a quote today. Please call me about your service package."
}
{
"decision": "allow",
"confidence": 0.91,
"category": "valid_lead",
"reason": "The message matches the business, page intent, and expected buyer request."
}