As Cortex adoption grows, AI credits appear under a single "AI Services" line. Without attribution, teams can't answer: which model, which pipeline, which team drove $14,000 this month?
AI credits appear as a single total. No breakdown by model, function, team, or query — impossible to optimize what you can't see.
Spikes are discovered after the monthly invoice. No early warning system for AI cost growth before it becomes a surprise.
No per-team budgets, no usage caps, no optimization signals — AI workloads scale with zero accountability until someone looks at the bill.
APEX maps every AI credit spend to the model, function, pipeline, and owning team using Snowflake ACCOUNT_USAGE signals. You see exactly what's growing and who owns it.
From token consumption to anomaly detection — everything your team needs to govern Cortex AI spend with full accountability.
Cortex functions use AI Credits — a separate billing unit from compute credits, at $2.00/credit on-demand. A single AI_COMPLETE call can range from $0.00001 (budget model) to $0.028 (premium model at 8K tokens).
At scale, 500,000 calls/month with Claude Sonnet 4.6 costs ~$16,500. Without attribution by model and pipeline, you can't optimize what you can't see.
Estimate your Cortex AI costs →AI Credits / 1M output tokens · $2.00/AI Credit on-demand · Source: Snowflake Service Consumption Table, Apr 2026
Deploy inside Snowflake in minutes. No data pipelines, no infrastructure, no business data leaves your account.
Anavsan connects via metadata-only service-user authentication. No business data leaves Snowflake — ACCOUNT_USAGE queries only.
APEX maps every AI credit to the model, function, pipeline, and owning team using ACCOUNT_USAGE signals and the Private Knowledge Graph.
Unusual AI spend patterns are detected against rolling baselines. Alerts are automatically routed to the engineer accountable for the workload.
Set per-team AI credit budgets. Document savings with before/after evidence — ready for leadership review and cost audit.