name: PriceMetrics FinOps Guide description: >- This FinOps guide helps engineering and finance teams understand, monitor, and optimize their PriceMetrics API spending. Because API call volume directly maps to subscription tier costs and overage charges, teams should establish budgets, monitor usage in real time, and implement call efficiency patterns to control costs while maximizing the value of the PriceMetrics integration. url: https://www.pricimetrics.com/documentation/finops cost_structure: model: subscription_plus_overage description: >- PriceMetrics charges a fixed monthly subscription fee based on the selected plan tier. API calls within the plan's monthly quota are included. Calls beyond the quota incur overage charges or require an upgrade or add-on call pack. overage_rate: starter: per_1000_calls: 5.00 currency: USD growth: per_1000_calls: 3.50 currency: USD professional: per_1000_calls: 2.00 currency: USD call_packs: - name: 50K Call Pack calls: 50000 price: 199 currency: USD - name: 250K Call Pack calls: 250000 price: 799 currency: USD - name: 1M Call Pack calls: 1000000 price: 2499 currency: USD monitoring: dashboard_url: https://app.pricemetrics.com/usage description: >- The PriceMetrics developer dashboard provides real-time usage graphs, monthly consumption trends, per-endpoint breakdowns, and alerts for approaching quota thresholds. alert_thresholds: - threshold_pct: 75 action: Email notification to account owner - threshold_pct: 90 action: Email and webhook notification to configured alert endpoint - threshold_pct: 100 action: API returns 402 errors; account owner notified available_metrics: - Total API calls this month - Calls by endpoint - Calls by API key - Batch job usage - SKU volume ingested - Average latency by endpoint - Error rate by endpoint cost_optimization: strategies: - name: Cache recommendations locally description: >- Price recommendations for stable product categories do not change on every API call. Implement a local cache with a TTL of 1–6 hours for recommendations to reduce redundant calls significantly. estimated_savings: 40-60% reduction in calls for stable catalogs - name: Use batch processing for bulk updates description: >- For nightly or periodic repricing runs, use the /v1/batch endpoint rather than individual /v1/recommendations calls. Batch calls are not counted against per-minute limits and process efficiently at scale. estimated_savings: Eliminates per-call overhead for bulk workflows - name: Request only changed SKUs description: >- Use the lastModified and changesSince query parameters to fetch recommendations only for SKUs whose underlying data (cost, demand, competitor price) has changed since the last call. estimated_savings: 20-50% for catalogs with low daily change rates - name: Tune elasticity call frequency description: >- Elasticity analysis is weighted at 5 call units. Run elasticity analyses on a weekly or biweekly schedule rather than on demand, and cache results between runs. estimated_savings: Significant reduction in weighted call consumption - name: Scope competitive data to priority SKUs description: >- Competitive price lookups are weighted at 2 call units. Limit competitive intelligence queries to high-velocity or high-margin SKUs where competitor pricing most directly affects revenue. estimated_savings: 30-50% reduction in weighted competitive call costs - name: Right-size your plan description: >- Review monthly usage reports quarterly. If consumption consistently runs below 60% of the plan quota, consider downgrading. If overages are recurring, upgrading plans is more cost-effective than purchasing repeated call packs. budgeting: recommendations: - Establish a monthly API cost budget aligned to the subscription plan cost - Set spend alerts at 75% and 90% of budget in the usage dashboard - Assign a single API key per integration environment (dev, staging, prod) to isolate cost attribution - Review per-key usage breakdowns monthly to identify runaway consumers - Include overage rates in annual API cost projections for catalog growth tagging: description: >- PriceMetrics supports API key labeling via the developer dashboard. Assign descriptive labels to each API key to correlate usage with business units, applications, or environments for accurate cost allocation in internal chargeback or showback reporting. recommended_labels: - environment: production | staging | development - team: pricing | merchandising | analytics | engineering - application: ecommerce-platform | erp-integration | reporting