Trace any row, end to end.
"Where did this come from?" — Damasqas maps the full journey across APIs, workflows, staging, and production.
Finds the bug. Ships the fix.
Not just alerts — Damasqas identifies root cause, writes code, tests it, and opens a PR. You just approve.
12x faster queries.
Analyzes execution plans, identifies missing indexes, rewrites joins — then benchmarks the improvement.
! Sequential scan on 2.4M rows
! Missing index on org_id
→ Adding composite index...
✓ 340ms → 28ms (12.1x)
Domain-aware alerts.
Not CPU metrics. Damasqas understands that 847 missing stock rows is critical and 94% enrichment accuracy is failing.
Right model, right cost.
Not every question needs Opus 4.6. Damasqas routes based on data engineering context, not token count.
Vendor accuracy, measured.
Runs automated checks against Clearbit, Apollo, news APIs, market data feeds. Catches vendor degradation before it poisons your product data.
✓ Email match rate: 98.1%
✓ Company resolution: 94.7%
! Phone accuracy dropped: 76% → 68%
→ Alert triggered · Recommending Apollo fallback for phone data
Ask from anywhere.
Via the damasqas-ai Slack bot or our web platform chat UI. Ask questions, get traces, approve fixes — without leaving your workflow.
@damasqas what depends on the accounts table?
3 direct → leads_enriched, revenue_daily, account_health
2 downstream → exec_dashboard, weekly_report
⚠ Dropping this table affects 5 consumers.