specification: FinOps Framework specificationVersion: '1.0' schema: https://www.finops.org/framework/ provider: Uberduck providerId: uberduck created: '2026-07-11' modified: '2026-07-11' reconciled: false tags: - AI - Text to Speech - Voice - FinOps - Cost Management - FOCUS description: >- FinOps view of Uberduck spend. Uberduck is billed as a fixed monthly (or discounted yearly) subscription that grants a bounded allowance of credits; text-to-speech generation, instant voice cloning, and conversational-token calls consume those credits. Cost is therefore driven by which plan you hold (Starter, Creator, Pro, or Enterprise) and how much of the monthly credit allowance you burn. API access is only available on Creator and above, so the minimum spend to use the API programmatically is the Creator subscription. notes: >- Uberduck does not publish per-credit unit economics for overage on the public pricing page; spend is effectively capped by the plan's monthly credit allowance and resets each cycle. Re-verify plan prices, credit counts, and any overage/top-up mechanics during reconciliation. Prices captured 2026-07-11. sources: - https://www.uberduck.ai/pricing - https://docs.uberduck.ai/api-reference/rate-limits - https://focus.finops.org/focus-specification/v1-3/ alignedWith: framework: FinOps Foundation Framework frameworkUrl: https://www.finops.org/framework/ dataSpec: FOCUS dataSpecVersion: '1.3' dataSpecUrl: https://focus.finops.org/focus-specification/v1-3/ publisherName: Uberduck serviceCategory: AI and Machine Learning billingModel: pricingCategory: Subscription-Based billingFrequency: Monthly billingCurrency: USD chargeCategories: - Purchase - Usage focusColumns: ServiceName: Uberduck ServiceCategory: AI and Machine Learning ProviderName: Uberduck PublisherName: Uberduck InvoiceIssuerName: Uberduck BillingCurrency: USD ChargeCategory: Purchase PricingCategory: Subscription-Based meters: - name: subscription description: Recurring plan fee (Starter, Creator, Pro) granting a monthly credit allowance. unit: months aggregation: sum dimensions: - account - plan - name: credits_consumed description: Credits drawn down by text-to-speech, voice cloning, and conversational-token usage. unit: credits aggregation: sum dimensions: - account - endpoint - name: characters_synthesized description: Characters of text submitted to the text-to-speech endpoint (up to 10,000 per request). unit: characters aggregation: sum dimensions: - account - voice - model principles: - name: Visibility description: Track monthly credit consumption per endpoint (text-to-speech vs voice cloning vs conversational) against the plan allowance. - name: Allocation description: Map API keys and voices/models to teams or products so credit burn is attributable to a workload. - name: Optimization description: Right-size the plan to actual credit usage; trim text length, cache generated audio_url outputs, and reuse cloned voices rather than re-cloning to conserve credits. - name: Accountability description: Assign an owner per subscription; review monthly credit burn versus the plan allowance and upgrade/downgrade tiers accordingly. maintainers: - FN: Kin Lane email: kin@apievangelist.com