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BLACKLAKE

BlackLake (cloud) vs cloud FinOps tools

Cloud FinOps stops at the API call.
AI control and analytics attributes every token.

Traditional FinOps tools see the cloud bill or the model-provider invoice. BlackLake sees every AI call before it happens — attributed to the AI Actor that asked, capped by budgets that deny pre-spend, and bound into the same receipt that proves the decision was allowed.

Feature comparison

AI control & analytics vs cloud FinOps

The bill comes too late. Attribution has to happen at the call.

FeatureBlackLakeCloud FinOps tools
Sees AI / LLM spend at the call levelYes — Anthropic, OpenAI, Bedrock, Vertex, Foundry, Gemini, OllamaNo — sees the cloud bill or the provider invoice
Attributes spend to the AI Actor that askedYes — AI Actor / tool / user / capture pathService / project / team only
Pre-call cost estimationYes — POST /v1/cost/estimate, fed into the policy engineNo — looks at billed cost
Budgets that deny pre-spendYes — at govern() time, before the LLM callAlerts after the spend
Cost decomposition (input / output / cache / thinking)Yes — every receiptNo
Versioned pricing snapshotsYes — historical totals stable through price changesRe-prices on read
Counterfactual model substitution analysisYes — 'what would Sonnet have cost?'No
Cost cryptographically bound to a governance receiptYes — v2 decision tokensNo
Signed CSV / NDJSON exports for financeYes — workspace HMAC chainPlain CSV
Used as a governance + compliance artifactYes — same recordNo — separate tool

Why this matters

The cloud bill doesn't say which AI Actor asked.

A single backend service hosts a dozen AI Actors — different prompts, models, retry behaviours, tool surfaces. The cloud bill can’t tell you which one doubled your spend. Per-AI-Actor attribution can.

BlackLake attributes every call to the AI Actor, tool, model, and user. Budgets cap the spend at govern() time. Counterfactual substitution shows what a different model would have cost. Finance gets a signed export.

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