Data Overview

The CoinGecko Coins source provides two types of data: time-series market chart data and point-in-time historical records. Both entities are scoped to a single coin and currency pair per source configuration.

Entities

Entity	What it contains
Market charts	Prices, market caps, and total volumes sampled over a selected time window (1 day up to all-time)
Histories	A historical snapshot of a coin's price, market cap, volume, and community/developer data for a given date range

Available data fields

Market charts

Field	Description
timestamp	The date and time for the data point
price	Coin price in the selected currency
market_cap	Total market capitalization at that timestamp
total_volume	Total trading volume across exchanges at that timestamp

Histories

Field	Description
date	The date of the historical record
current_price	Price in the selected currency on that date
market_cap	Market cap on that date
total_volume	Total trading volume on that date
community_data	Metrics like Twitter followers and Reddit subscribers (where available)
developer_data	Developer activity metrics such as GitHub stars and forks (where available)

Common data combinations

• Market charts + Histories — use the Join transformation to cross-reference time-series price trends with historical snapshot details for deeper context
• Multiple coins via Append — configure one source per coin (e.g. Bitcoin, Ethereum, Solana) and use Append to create a single unified table for side-by-side comparison
• Aggregate transformation — use Aggregate on market chart data to calculate averages, minimums, or maximums over a time window without leaving Coupler.io

Use cases by role

Finance teams

• Track the USD or EUR value of crypto holdings over time using Market charts
• Pull historical price data into Excel or Google Sheets to support portfolio valuation and reporting
• Feed daily price snapshots into BigQuery for auditing or compliance records
• Use AI destinations like Claude or ChatGPT to summarize price trends and flag anomalies automatically

Analysts

• Compare price, market cap, and volume trends across multiple coins using Append + Aggregate transformations
• Build Looker Studio dashboards powered by live CoinGecko data refreshed on a schedule
• Use the days=max setting on Market charts to pull all available history for long-term trend analysis
• Send aggregated market data to Gemini or Perplexity for AI-generated market commentary

Developers

• Use Coupler.io as a no-code pipeline to feed CoinGecko data into BigQuery or other data warehouses
• Combine CoinGecko data with other financial sources via Join to enrich crypto data with exchange rates or stock prices
• Use the Histories entity to backfill datasets with date-range snapshots without hitting the API directly

Platform-specific notes

• The Coin ID must match CoinGecko's internal identifier exactly — use the coins list endpoint to look up the correct ID before configuring your source
• Market chart data granularity is controlled by CoinGecko based on the days parameter: 1 day returns hourly data, ranges above 90 days return daily data
• Community and developer data in the Histories entity may be null for newer or less-tracked coins
• Free-tier CoinGecko API keys have rate limits that may affect how many coins you can sync simultaneously — check your plan limits before setting up many data flows
• Each source is scoped to a single coin and currency pair; to track multiple coins or currencies, add additional sources to your data flow