Paid API Pricing Examples: Requests, Tokens, Credits and Tiers

A request-priced data API charges $0.40 per 1,000 successful requests. A customer sends 750,000 requests, so the bill contains 750 billable units. The usage charge is 750 x $0.40 = $300. If the API has no base subscription or included allowance, the monthly charge is $300 before tax.

This model is easy to forecast when requests have similar delivery cost. Publish whether failed calls, retries, cached responses, and bulk endpoints count toward the meter so the customer can reproduce the invoice.

A token-priced API processes 80M input tokens at an illustrative $1.50 per 1M and 20M output tokens at an illustrative $6.00 per 1M. Input costs $120 and output costs $120, producing a $240 monthly token charge before tools, storage, cache writes, or taxes.

Illustrative rates only; these numbers are not a current provider quote. For a real model, use its current official input, cached-input, output, long-context, and batch rules rather than treating every token as one blended price.

A credit-based API sells 10,000 credits for $100, so the purchase price is $0.01 per credit. A standard lookup consumes 2 credits and an AI enrichment consumes 25 credits. A customer running 2,000 lookups and 200 enrichments uses 9,000 credits: 4,000 for lookups plus 5,000 for enrichments.

The customer has 1,000 credits left, equal to $10 at the published purchase rate. State whether credits expire, whether promotional credits are refundable, and whether the credit cost of an operation can change after purchase.

A Developer subscription costs $29 and includes 100,000 requests. Overage is $0.60 per 1,000 requests. A customer uses 160,000 requests, leaving 60,000 overage requests, or 60 billable units. The monthly charge is $29 + 60 x $0.60 = $65 before taxes and credits.

Show the included usage, current usage, projected bill, and stop-at-limit choice before overage begins. A hybrid plan is predictable only when customers can see how the base fee and usage charge combine.

Tiered plans package different allowances, overage rates, limits, and support levels. The comparison below makes the decision boundary explicit rather than presenting three arbitrary round-number prices.

A light customer stays on Developer, a growing customer compares Developer overage with Growth, and a high-volume customer evaluates committed or enterprise pricing. Recalculate every tier with actual utilization before publishing it.

The first paid API price is a hypothesis. After launch, review actual usage by plan, customer segment, endpoint, token type, and support load. Look for customers with negative contribution margin, free-tier users who never convert, endpoints that create unexpected upstream costs, and pricing pages with low click-through from search. Pricing should change slowly for customers, but internally the model should be checked often.

A practical weekly review asks four questions: which plans are profitable, which usage assumptions were wrong, which search queries brought qualified traffic, and which pricing examples need to be clearer? If Google is already showing the site for API pricing, paid API, and how to price an API, strengthen the pages that answer those terms directly. Then use the calculator to keep the numbers honest.