Options API Python

Options API Python examples for chains, contracts, quotes, trades, and expirations

Use these Python-oriented CuteMarkets workflows to discover contracts, fetch chains, validate expirations, inspect quote and trade windows, and turn API responses into research-ready objects.

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Real-time snapshotsHistorical contractsQuotes & tradesAggregates & expirations

Why teams use it

Python workflows options API buyers usually test first

Requests-first examples

Start with standard Python HTTP calls that work in notebooks, scripts, cron jobs, and internal services.

Contracts before prices

Discover the historical or current contract universe before requesting quotes, trades, or snapshots.

Chain snapshots

Pull calls and puts for one expiration with Greeks, IV, open interest, latest quote, and latest trade context.

Expiration validation

Fetch listed expiration dates before hard-coding workflow dates.

Quote and trade windows

Use timestamp filters to pull the exact market evidence needed for a model or dashboard.

Notebook to production path

Prototype in a notebook, then move the same request sequence into a service or pipeline.

Use cases

What you can build with this options data API

Research notebooks

Explore chains, contracts, and quote windows before committing to a backtest implementation.

Batch screeners

Loop over underlyings, expirations, and contract filters from a scheduled Python job.

Backtest pipelines

Save contract IDs first, then fetch quotes, trades, and aggregates for selected legs.

Internal API clients

Turn the request sequence into a small typed wrapper for a team dashboard or service.

Developer examples

Two code paths teams usually need first

python contracts and chain

import requests

API_KEY = "YOUR_API_KEY"
headers = {"Authorization": f"Bearer {API_KEY}"}

contracts = requests.get(
    "https://api.cutemarkets.com/v1/options/contracts/",
    headers=headers,
    params={
        "underlying_ticker": "AAPL",
        "as_of": "2026-04-17",
        "expiration_date": "2026-05-15",
        "limit": 50,
    },
).json()

chain = requests.get(
    "https://api.cutemarkets.com/v1/options/chain/AAPL/",
    headers=headers,
    params={"expiration_date": "2026-05-15", "limit": 50},
).json()

print(contracts["results"][0])
print(chain["results"][0])

python quote window url

curl "https://api.cutemarkets.com/v1/options/quotes/O:AAPL251121C00225000/?timestamp.gte=2025-10-29T13:30:00Z&timestamp.lt=2025-10-29T20:00:00Z" \
  -H "Authorization: Bearer YOUR_API_KEY"

Evaluate and compare

Why chain snapshots alone are not enough

Focused endpoint pages are useful because most teams do not evaluate an options data API in the abstract. They evaluate one workflow first, then expand into chains, contracts, quotes, trades, and expirations.

Options data API

Start from the parent API page before turning endpoint choices into Python code.

Endpoint coverage matrix

Map a Python workflow to the endpoints it should call.

Vendor checklist

Use the buyer checklist before writing a wrapper around any provider.

Docs to open next

Relevant API docs

Option Chain docs

Inspect full-chain snapshots with Greeks, IV, open interest, quotes, and trades.

Contracts docs

Use historical contract discovery with `as_of` to reconstruct past option universes.

Trades docs

Add time-and-sales requests to a Python research or alerting workflow.

Tutorials and research

Backtest options without stale contracts

See why contract discovery with historical dates matters before a backtest is trusted.

Why option quotes beat last price

Understand bid/ask context, last-sale gaps, and quote-aware research workflows.

Quote-aware options fills

A research-to-product bridge from the CuteMarkets backtesting work.

FAQ

Common questions about this options data API

Do I need a Python SDK to use CuteMarkets?

No. The API is accessible with standard HTTP clients such as requests. A small internal wrapper can be added later after your team settles the endpoint sequence.

Does CuteMarkets provide both real-time and historical options data?

Yes. CuteMarkets supports real-time snapshots and historical workflows across contracts, trades, quotes, aggregates, and expirations, with plan-specific live or delayed access.

Do you provide quotes, trades, and historical contracts?

Yes. The platform includes contracts, chain snapshots, contract snapshots, trade history, quote history, aggregates, and expiration lookups for U.S.-listed options.

Do you provide the earnings calendar too?

CuteMarkets provides the options data layer. Earnings timing should come from a dedicated earnings calendar source that you combine with the options data.

Prototype the options API in Python before building a client

Use direct HTTP examples first, validate the payloads, then wrap the endpoints your workflow actually needs.