For the complete documentation index, see llms.txt. This page is also available as Markdown.

Best Practices

Filter Quotes by symbol

Don't pull all coins via Quotes — enter only the symbols you actually need. This keeps your dataset focused and saves API credits.

Use Listings for broad market scans

For market-wide analysis, use the Listings entity instead of entering hundreds of symbols in Quotes. Listings returns ranked data for all coins in one call.

Join Listings with Quotes

Use Coupler.io's Join transformation to attach real-time Quotes data to the ranked Listings table. This gives you both ranking context and precise quote figures in one sheet.

Separate latest and historical flows

Create separate data flows for latest and historical data types. Mixing them in one flow makes it harder to troubleshoot and schedule independently.

Data refresh and scheduling

Match refresh rate to your API plan

The free CoinMarketCap plan has limited monthly credits. Refreshing every few minutes will burn through credits fast — hourly or every 15 minutes is usually sufficient for most use cases.

Use timestamps to detect stale data

Every entity returns a last_updated field. Include this in your destination to confirm data freshness and catch cases where the API returned a cached response.

Performance optimization

Aggregate category-level metrics

Use Coupler.io's Aggregate transformation on Categories data to roll up sector performance (total market cap, average 24h change) without pulling individual coin-level data.

Append multi-account data cleanly

If you manage crypto data for multiple clients or portfolios, create one data flow per symbol set and use Append to combine them into a single master table in BigQuery or Google Sheets.

Common pitfalls

Do

  • Verify each symbol on CoinMarketCap before adding it to your Quotes filter

  • Use Listings for market-wide pulls and Quotes for watchlists

  • Monitor your API credit usage in the CoinMarketCap Developer Portal

  • Set the data type explicitly — leaving defaults untouched may not match your plan

Don't

  • Assume historical data will work on a free API key

  • Run duplicate data flows pulling the same entity at the same time

  • Use Quotes without any symbol filter — it will fail

  • Ignore the last_updated field when comparing data across sources

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