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CueObserve
CueObserve enables automated anomaly detection directly on data stored in popular SQL databases and data warehouses
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
CueObserve enables automated anomaly detection directly on data stored in popular SQL databases and data warehouses. It supports BigQuery, Redshift, Snowflake, Postgres, MySQL, and Druid without requiring data migration. Designed for data teams and analytics engineers to identify data quality issues and unusual patterns in real-time.
HTTP liveness
11 probes since May 23May 23Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- May 23, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
11 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
567 products launched in 2026 · 100% still active
567 active0 sunset
Still active
100%
Median lifespan
4.9y