specification: FinOps Framework specificationVersion: '1.0' provider: Reducto providerId: reducto created: '2026-06-12' modified: '2026-06-12' url: https://reducto.ai/pricing billingModel: credits description: > Reducto uses a credit-based billing model where each API operation consumes credits proportional to the number of pages processed and the complexity of the operation. Credits are purchased or included in a plan, and usage is tracked per API call via the usage.credits and usage.num_pages response fields. focusColumns: - ChargeCategory: Usage - ChargeSubcategory: On-Demand - ServiceName: Reducto Document API - ServiceCategory: AI and Machine Learning - BilledCurrency: USD - PricingUnit: credit - UsageUnit: pages meters: - name: Parse Credits description: Credits consumed per page when parsing documents into structured JSON unit: credits_per_page rate: 0.015 currency: USD operation: parse responseField: usage.credits - name: Extract Credits description: Credits consumed per page for schema-based field extraction unit: credits_per_page rate: 0.015 currency: USD operation: extract responseField: usage.credits - name: Split Credits description: Credits consumed per page when splitting multi-document files unit: credits_per_page rate: 0.015 currency: USD operation: split responseField: usage.credits - name: Edit Credits description: Credits consumed per page for form filling and document editing unit: credits_per_page rate: 0.015 currency: USD operation: edit responseField: usage.credits - name: Page Count description: Number of pages processed per API call (tracked in response) unit: pages operation: all responseField: usage.num_pages principles: - name: Visibility description: > Every API response includes usage.credits and usage.num_pages fields enabling precise per-call cost tracking. The Studio dashboard provides aggregate usage visibility across all operations. practices: - Monitor usage.credits in API responses for per-call cost attribution - Use Studio at studio.reducto.ai for aggregate usage dashboards - Tag API calls by project or team using pipeline configurations - name: Optimization description: > Cost optimization strategies include using async batch operations to maximize throughput on volume plans, selecting appropriate OCR configurations to avoid unnecessary processing overhead, and leveraging volume discounts on Growth and Enterprise plans. practices: - Use async-parse and async-extract for batch workloads to maximize throughput within rate limits - Configure page ranges to process only required document sections - Upgrade to Growth plan for volume discounts when processing more than the free 15K credits monthly - Use EU or AU regional endpoints to meet data residency requirements without additional cost on Growth/Enterprise plans - Cache parsed document results to avoid re-processing unchanged files