For Data & AI teamsDetect → Monitor → Resolve

Rely on event data you didn't have to double-check.

Dashboards, dbt models, ML features and now agents all read the same event tables. suky detects drift, monitors every contract against your warehouse, and gets the fix moving before anything downstream goes wrong. Read-only. Zero ingestion.

See the workflow
On the Product & Engineering side? For Product & Engineering →
volume · last 28 min● live
checkout_startedhealthy98
cart_item_addedhealthy96
pricing_changeddrift62
signup_completedwarning88
SLA breach · pricing_changed · null rate 12%2m ago
→ routed to #data-platform · owner @growth-eng · auto-PR drafting
Ahead of costly data issues

You find out first. Not the exec, not the agent.

Contract rules run against your live Snowflake on a schedule, via read-only SQL. Nothing is ingested; nothing leaves your warehouse.

Detect
Every event discovered and fingerprinted, including the ones nobody documented. Schema drift caught the moment a shape changes in production.
Monitor
Healthy, degraded or broken per event; weekday-aware anomaly detection; freshness, volume, null-rate and drift thresholds per contract, each breach opening a violation with a severity. Alerts to Slack, Teams, PagerDuty.
Resolve
Violations correlated to the deploy that caused them. The fix arrives as a PR scoped to the files the plan read, or a Linear/Jira ticket with the right owner attached. Two-way sync closes it when the fix ships.
Your newest consumer is an agent

Agents don't eyeball a weird number. They just answer.

Cortex Analyst, Claude over MCP and decisioning agents all query the same event tables your dashboards do, at machine speed, without a human in the loop to notice drift. Auto-generated semantics won't save them: your semantic view is only as true as your instrumentation.

24→86%
agent accuracy on structured data once its meaning is curated · Snowflake benchmarks, 2026
60%
of MCP-only agentic-analytics projects will fail by 2028 · Gartner, 2026
reading your events today:Cortex AnalystClaude + MCPAI decisioningdbt modelsBI
analytics agent · answering "why did AOV drop?"
pre-flight · suky MCP
check_event_health('checkout_started')
→ healthy · no open violations · freshness 4m · schema stable
check_event_health('pricing_changed')
→ degraded · new_price number→string since deploy a7f2c1e · violation V-1184 open
answer qualified, not hallucinated
"AOV series excludes pricing_changed after Nov 12; that table is under an open contract violation. Fix ETA: PR #2847 in review."
contract-aware MCP · read-only status metadatazero ingestion
Contract

Connect read-only. See what your consumers are actually reading.

Free to find out. Drift you didn't know about, surfaced in the first scan.

See the producer side