name: Treasure Data FinOps description: FinOps Framework alignment for Treasure Data (Treasure AI) API and platform cost management. Covers cost visibility, optimization, and governance for enterprise CDP deployments. specificationVersion: '1.0' url: https://www.treasure.ai/product/pricing/ framework: FinOps Framework focusAlignment: - domain: Understand capabilities: - name: Cost Allocation description: Treasure AI pricing is based on unified customer profiles and behavioral events, enabling clear cost attribution per profile tier or event volume. Enterprise contracts define fixed annual spend. maturityLevel: crawl - name: Data Ingestion Cost Visibility description: Ingestion costs are implicit in the no-compute pricing model — profile and event counts drive billing, not individual API call volume or query compute. maturityLevel: crawl - name: Usage Reporting description: Treasure AI provides account dashboards showing profile counts, segment sizes, and activated audiences. Detailed consumption data informs forecast vs. actuals for FinOps reviews. maturityLevel: walk - domain: Optimize capabilities: - name: Rate Limit Optimization description: Batch import requests up to 500 records and 5 MiB per call to maximize throughput efficiency. Use bulk load sessions rather than streaming where possible to control per-record overhead. maturityLevel: walk - name: Query Cost Management description: Use Presto for interactive queries and Hive for large-batch workloads. Query length limits (1M chars Presto, 2M chars Hive) and concurrent job scheduling govern compute efficiency. maturityLevel: walk - name: Profile Tier Right-Sizing description: Since billing is tied to unified profiles and events, archiving inactive profiles and pruning stale event streams directly reduces contract renewal costs. maturityLevel: walk - name: AI Credit Consumption description: Treasure AI Suites bill by AI credits (600 conversations per credit). Monitor AI Studio usage and restrict access to avoid overrun of included credit allocations. maturityLevel: crawl - domain: Operate capabilities: - name: Budgeting and Forecasting description: Annual enterprise contracts ($100K–$750K range) provide predictable baseline spend. Profile growth and event volume forecasts should drive annual budget planning cycles. maturityLevel: walk - name: Anomaly Detection description: Monitor profile count growth, bulk import session counts (max 2,448), and workflow task concurrency (max 30) via status.treasure.ai and account dashboards to detect unexpected cost spikes. maturityLevel: crawl - name: Chargeback and Showback description: Allocate CDP costs across business units by mapping customer profile segments or database/table usage to product lines or marketing teams. maturityLevel: crawl - name: Vendor Negotiation description: Treasure AI Trade-Up Program provides discounted pricing for switching from legacy platforms. Annual renewal negotiations should benchmark profile-per-dollar metrics against alternatives. maturityLevel: walk costDrivers: - name: Unified Customer Profiles description: Primary billing unit. The number of active unified customer profiles in the platform drives the base annual subscription cost. type: primary - name: Behavioral Events description: Volume of behavioral events ingested and processed contributes to the annual plan tier selection. type: primary - name: AI Credits description: Consumption metric for Treasure AI Suites features — 600 conversations per credit. Credits are consumed per AI-driven activation task. type: secondary - name: AI Suite Licenses description: Fixed annual license fees per AI Suite (Engagement, Personalization, Creative, Paid Media, Service) added on top of CDP base cost. type: secondary - name: Professional Services description: Implementation, onboarding, and managed services engagements are billed separately from platform subscriptions. type: ancillary pricingModel: no-compute billingCycle: annual estimatedRange: low: 100000 high: 750000 currency: USD unit: per year notes: - Treasure AI's no-compute pricing model provides more predictable FinOps planning than traditional compute-based CDPs. - QA and Dev sandboxes are included with plans, reducing the cost of non-production environments. - Status monitoring at status.treasure.ai supports operational cost awareness for SLA management.