Options data API cost calculator
Estimate request volume before comparing API plans. Most teams undercount selected-leg requests: chains are only the first pass, while quotes, trades, snapshots, and historical windows create the real request profile.
Daily requests
2,725
22-day month
59,950
Fit signal
Production candidate
Expiration and chain requests
25 expiration lookups and 600 chain requests make up the discovery layer.
Selected-leg depth
2,100 quote, trade, and snapshot requests come from contracts that pass first-stage filters.
Historical scale
Backtests multiply quickly across dates. Test a small representative window before committing to a full historical run.
| Request layer | What it measures | Cost-planning implication |
|---|---|---|
| Expiration discovery | One request per ticker to learn the listed dates before the workflow asks for chains or contracts. | Usually cheap, but it prevents expensive retries caused by invalid or holiday-adjusted dates. |
| Chain refreshes | Ticker count multiplied by selected expirations and refresh cadence during the trading day. | This is the dominant live-dashboard cost when many symbols refresh repeatedly. |
| Selected-contract depth | Quote windows, trade windows, and snapshot checks for contracts that pass the first filter. | This is where scanners and backtests usually underestimate volume. |
| Historical windows | Repeated quote, trade, or aggregate requests across dates, events, and selected OCC symbols. | Sample one representative period before scaling a full backtest or event study. |
How to interpret the estimate
Treat the result as a workflow load model
The daily request count is not a pricing quote by itself. It is a way to expose which part of the workflow drives usage before a team picks a plan. A scanner with many chain refreshes has a different shape from a historical study that touches fewer tickers but opens deep quote and trade windows for every selected contract.
Use the output to decide what should run interactively, what can run in a queue, and which endpoints should be cached or sampled first. The most useful comparison is the ratio between discovery requests, repeated chain refreshes, and selected-leg depth.
Cost model assumptions
Keep plan fit separate from data quality
The calculator assumes a 22-session month and counts endpoint calls at the workflow layer. It does not model caching, retries, pagination depth, WebSocket substitution, or entitlement differences between delayed, live, quote, and commercial-use plans.
Before scaling a production run, test one representative ticker set and preserve request URLs, selected expirations, OCC symbols, quote windows, and reject reasons. That makes request volume and research quality auditable instead of turning plan choice into a guess.
Planning note
Build the request model from the workflow, not from a headline endpoint list
A chain scanner, quote-aware backtest, and live dashboard can all use the same API surface while creating very different request profiles. For a clean vendor comparison, write down how many underlyings, expirations, selected contracts, quote windows, trade windows, and snapshot checks you need on a normal production day.