Chunkr · FinOps Profile

Chunkr Ai Finops

FinOps view of Chunkr Cloud spend. Chunkr bills a monthly subscription per tier that bundles a credit and included-page allowance, then charges a declining per-page overage rate (roughly $0.005-$0.01/page depending on tier). Cost scales with pages processed across parse and extract tasks. A self-hosted AGPL-3.0 build shifts spend from per-page fees to infrastructure (compute, GPU) costs.

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

It defines 6 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 Document Parsing, OCR, Chunking, RAG, and Document Intelligence.

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

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Chunkr
PricingCategory
Subscription-Based
ProviderName
Chunkr
PublisherName
Chunkr
ServiceCategory
AI and Machine Learning
ServiceName
Chunkr Cloud

Meters

pages_processed
Unit: pages
Document pages processed by parse and extract tasks, the primary cost driver, billed per page after the included allowance.
credits_consumed
Unit: credits
Credits drawn down from the monthly allowance, roughly one credit per processed page.
subscription_fee
Unit: months
Fixed monthly subscription fee per tier (Starter, Dev, Growth).
included_pages
Unit: pages
Pages covered by the monthly bundled allowance before overage applies.
overage_pages
Unit: pages
Pages processed beyond the included allowance, billed at the tier per-page rate.
self_hosted_compute
Unit: hours
Infrastructure (compute / GPU) cost when running the AGPL-3.0 self-hosted deployment instead of Cloud.

Sources