Live from production
Transparent numbers. Real production.
We don’t hide behind vanity metrics. Here’s what Zikit is doing right now - directly from the production database, refreshed every 30 minutes.
Last updated:
Alert delivery speed · last 30 days
n = 560 notified catches
1s
median detection → alert
1s
p95 detection → alert
From the moment the pipeline decides a change is meaningful to the moment the alert lands in your email / Slack / Telegram / Discord / webhook. Excludes outliers above 1 hour (typically retries or rate-limited channels).
Noise suppression · lifetime
Zikit ran 16,673 checks and surfaced only 1,758 meaningful changes.
That is 1 meaningful alert per 9 checks - the other 99%+ was cache hits, timestamp noise, carousels, and paraphrased content that the pipeline correctly skipped. This is the number no raw-diff tool can show.
Active monitors
37
Teams
13
Registered users
13
Snapshots captured
16,191
Meaningful changes · 24h
6
Meaningful changes · 7 days
29
Meaningful changes · 30 days
677
Meaningful catches per day · last 30 days
avg 22/day · peak 35 on 2026-05-22
Daily throughput from Zikit’s production change-detection pipeline. Each bar is one UTC day. Quiet days (weekends, holidays) show lower counts; vendor-launch days spike.
Importance-score distribution · last 30 days
775 meaningful changes scored
Every meaningful change gets an AI-assigned importance score 1-10. This is the actual distribution across Zikit production. Alerts only fire at or above your threshold (default: 5) - everything below stays in the dashboard but doesn’t ping anyone.
Scores above the threshold (shown in jade) are what actually triggers Slack / Telegram / Discord / email. No competitor publishes this distribution because none of them score importance at all.
What kind of changes we catch · last 30 days
677 meaningful changes classified
The AI tags each meaningful change with a type. Content edits dominate (copy rewrites), but price/structure/removal/addition flags are the business-critical ones.
Top hosts by catches · last 30 days
across every tracked URL on the host
Which vendors actually change the most. Each bar counts meaningful changes (importance 3+) detected on any URL under that host over the last 30 days. Live from production.
Why show these numbers publicly?
Most monitoring SaaS products hide usage data behind marketing copy. We think the opposite is more honest: if the product works, the numbers speak for themselves. If it doesn’t, hiding them won’t save us.
Monitor, snapshot, and change counts are every-account totals including our own internal monitoring. "Teams" and "Registered users" exclude the small handful of internal / demo accounts we run for QA so those two counts reflect real external signups only. Want to see the actual changes Zikit catches? Check the live feed or tracked domains.
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