Relium is a data AI agent for Identify potential production-breaking changes in database models before they are merged, ensuring data integrity and downstream metric accuracy. Pricing: Usage-based. As of 2026-10-22, KanonAgent records 56 upvotes. First indexed by KanonAgent on 2026-09-25.
Relium automatically flags risky SQL and dbt changes before code is merged, preventing downstream metric failures and data inconsistencies.
56 upvotes
Tracked by Kanon since Sep 25, 2026
no signal yet
status
8/100
momentum · conf 0.38
27d
tracked since 2026-09-25
0
evidence records
No signal event on file yet — status is unknown, not "quiet".
📈 Timelinewhat changed, and when
first observedKanon started keeping permanent history for this agent
🔎 Known / Unknown
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Bring your own key
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“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · data
Job to be doneIdentify potential production-breaking changes in database models before they are merged, ensuring data integrity and downstream metric accuracy.
Who it is forData engineers and data teams at B2B organizations
PricingUsage-based
Traction · why it is risingGrowing adoption among data teams focused on reducing production incidents through proactive code validation.
Why it matters
It brings semantic-aware, automated quality gates to data engineering workflows, offering a high-value preventive safety net.
Building Relium? Pick a style above — the embed code updates live. Deep color control via URL params: bg= / fg= / accent= (hex). It links back to this page.
