model-pricing-calculatorv1.0.0

An AI API aggregator needs to keep its model pricing ratios consistent across dozens of upstream providers like OpenAI, Anthropic, and Google. The skill fetches pricing pages from each provider's New API endpoint and normalizes them into unified model, completion, and group ratios. It also diffs against the previous snapshot so operators can spot price changes before customers are affected.

A platform engineering team runs a self-hosted AI gateway that routes requests across multiple channels and cloud regions. They use the skill to derive group ratios per channel so identical models can be billed differently depending on the underlying provider cost. The snapshot diff report feeds into weekly cost reviews and anomaly alerts.

A product team building an AI-assisted SaaS tool needs to understand the cost implications of every model they expose to users. By reverse-calculating model and completion ratios from target input/output token prices, they tune their markup and group ratios to hit margin targets. The standardized JSON output plugs directly into their billing engine.

An API reseller monitors competitor pricing across multiple aggregation platforms to stay competitive on popular models like GPT-4o and Claude. The skill's wildcard filters let the analyst quickly pull a specific subset of models or groups for comparison. Snapshot diffs highlight when a competitor drops prices so the team can react.

An enterprise's internal AI platform chargeback system must attribute token costs to departments based on the model and channel used. This skill generates the ratio tables that the chargeback engine consumes, with group ratios encoding each department's negotiated discount. Automated diffs let finance detect configuration drift before monthly invoicing.

The platform aggregates upstream LLM providers and resells access with a margin baked into group ratios. Identical models are priced the same at the model-ratio level while group ratios absorb per-channel cost differences. Revenue comes from the spread between fetched upstream prices and the markup applied to end users.

Customers pay a monthly subscription for a managed gateway that routes requests across providers with unified pricing. The calculator keeps ratio tables current across all supported providers so billing stays accurate without manual updates. Higher tiers unlock additional channels and custom group ratios.

The snapshot and diff outputs are packaged as a data feed sold to AI platforms that need up-to-date competitor price intelligence. Subscribers receive normalized ratio JSON and change notifications for models and groups they care about. The service monetizes the automation of what would otherwise be manual scraping and reconciliation.