NOBOTIQ verifies email, evaluates submissions in real time, and returns measurable anti-spam decisions that teams can trust in production.
6,450 of 6,579 checks were blocked as spam.
The product shows concrete outcomes, not abstract claims. Teams can review volumes, detection quality trends, duplicate patterns, and the exact addresses that appear most often in spam traffic.
Stats are sourced from the same production spam_events table that the admin dashboard uses.
spam_events table · is_spam = 1 · 6,450 spam events
| Spam hits | |
|---|---|
1 xrumer23Zet@gmail.com |
128 |
2 prosavmobi1981@mail.ru |
105 |
3 zekisuquc419@gmail.com |
103 |
4 prohor.zlobin.14.11.1987@mail.ru |
56 |
5 dyadyazavune@mail.ru |
39 |
6 nikolayy-shevcov@mail.ru |
39 |
7 kristinakehado@mail.ru |
36 |
8 okna.master.vitebsk@gmail.com |
36 |
9 dolnovam@mail.ru |
32 |
10 juncpecni1980@mail.ru |
31 |
Start with the path that matches your stack today. Both routes keep the product technical, auditable, and practical for real forms.
Use NOBOTIQ where custom forms, sign-up funnels, lead capture, or support intake need instant anti-spam decisions.
Use the dedicated Drupal module when your site needs anti-spam protection that fits into a practical CMS workflow.
drupal.org/project/nobotiq_spam_protection
Keep the path lightweight: inspect each request, return an instant decision, and route the result into your existing workflow.
Pass email and content data through the API or the official Drupal module from drupal.org as the form is submitted.
NOBOTIQ responds in real time with measurable classification signals that explain why traffic looks risky.
Block, review, or allow the submission immediately so inboxes, contact flows, and content queues stay clean.
Every submission is routed through measurable signals. The dashboard shows which decisions are high-confidence, which need a second look, and how much traffic repeats.
6,558 of 6,579 checks were classified with high confidence, giving teams a stable baseline of automatic decisions they can rely on.
Only 21 checks landed in the low-confidence bucket — a narrow surface for review queues and manual overrides instead of open-ended triage.
124 duplicate events were detected so campaigns, support queues, and content moderation can skip obvious repeated abuse immediately.
6,086 distinct content hashes across 6,579 checks — enough variety to prove the product handles real, diverse form traffic, not synthetic drills.
NOBOTIQ is useful wherever automated submissions drain attention, reduce lead quality, or turn review time into cleanup work.
Protect lead capture from low-quality submissions that distort campaign performance and waste follow-up time.
Keep service queues focused on genuine requests instead of repeated template attacks and bot-driven noise.
Reduce review fatigue when public forms, submissions, or comments become an easy target for scripted abuse.
Review the dashboard, choose the integration path, and put measurable spam filtering into production quickly.