Cleanlab · FinOps Profile

Cleanlab Finops

FinOps view of Cleanlab spend. The open-source cleanlab library is free and incurs no platform cost. Hosted spend comes from the Trustworthy Language Model (metered by queries/tokens against the wrapped base LLM), Codex validation (metered per validated response), and Cleanlab Studio (data curation, AutoML training, and deployed-model inference). Public per-unit rates are not consistently published, so cost meters here are unreconciled.

Cleanlab Finops is the FinOps profile for Cleanlab on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 5 billable meters, billed in USD, on a monthly cycle, and pricing category usage-based.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include AI, LLM, Trustworthiness, Data Quality, and Guardrails.

Category: AI and Machine Learning Pricing: Usage-Based Billing: Monthly FOCUS v1.3
AILLMTrustworthinessData QualityGuardrailsFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Cleanlab
PricingCategory
Usage-Based
ProviderName
Cleanlab
PublisherName
Cleanlab
ServiceCategory
AI and Machine Learning
ServiceName
Cleanlab AI Platform

Meters

tlm_queries
Unit: queries
TLM prompt / trustworthiness-score requests, metered per query.
tlm_tokens
Unit: tokens
Tokens processed by the wrapped base LLM behind TLM.
codex_validations
Unit: validations
Responses validated through a Codex project (guardrail + remediation).
studio_training
Unit: jobs
AutoML / data-curation compute used to train models in Cleanlab Studio.
studio_inference
Unit: predictions
Predictions served from deployed Cleanlab Studio models via REST.

Sources