Deepchecks · FinOps Profile

Deepchecks Finops

FinOps view of Deepchecks spend. The open-source deepchecks packages are free (AGPL-3.0) and self-hosted, contributing only internal compute cost. The hosted LLM Evaluation cloud is sold as subscription tiers (Basic / Scale / Enterprise) metered by seats, number of AI applications, and DPUs (Data Processing Units) per month, with custom / quote-based pricing above the Basic trial. Cost is driven mainly by evaluation volume (DPUs) and application/seat count.

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

It defines 4 billable meters, billed in USD, on a monthly cycle, and pricing category subscription-based.

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

Tagged areas include AI, LLM, Evaluation, Testing, and Monitoring.

Category: AI and Machine Learning Pricing: Subscription-Based Billing: Monthly FOCUS v1.3
AILLMEvaluationTestingMonitoringFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Deepchecks
PricingCategory
Subscription-Based
ProviderName
Deepchecks
PublisherName
Deepchecks
ServiceCategory
AI and Machine Learning
ServiceName
Deepchecks LLM Evaluation

Meters

dpus
Unit: dpus
Data Processing Units consumed running evaluation over logged interactions, allotted per plan per month.
ai_applications
Unit: applications
Number of configured evaluation applications, capped per plan.
seats
Unit: seats
Platform user seats, capped per plan.
interactions_logged
Unit: interactions
Raw LLM interactions logged for evaluation; drives DPU consumption.

Sources

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