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Trace-ready audit workflow

AI Cost Attribution Auditor

Paste AI usage traces to compute request-level cost summaries, compare model and endpoint deltas, and surface missing ownership fields before chargeback review.

Illustrated audit console linking gateway requests to chargeback owners

Problem

AI spend review fails when ownership context drops between hops

FinOps and platform teams can see provider totals, but chargeback review breaks when tenant, workflow, retry, or user fields disappear between gateway, router, and agent. The auditor highlights those gaps so policy decisions are tied to complete request evidence.

Illustrated audit console linking gateway requests to chargeback owners

Tools

Pick the auditor for the gap you need to prove

Paste gateway traces and inspect tenant, user, and model spend gaps.

Trace spend back to tenants, users, teams, and request owners.

Summarize trace JSON by total spend, request count, and owner mix.

Compare two exports to explain cost deltas and attribution drift.

Check model rate assumptions before a bill becomes a chargeback fight.

See which tenant, workflow, retry, and spend fields survive each hop.

Review saved authenticated analyses and reopen cost evidence quickly.

How it works

From trace evidence to a fixable boundary

Paste trace

Start with JSON object, array records, or NDJSON from your AI gateway.

Inspect attribution

Review cost ownership, context survival, and missing fields before policy debates start.

Fix the boundary

Use the failing hop or incomplete policy boundary as the next engineering target.

Ready to improve your AI cost tracking?

Try the auditor