> For the complete documentation index, see [llms.txt](https://docs.coupler.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coupler.io/sources/category/finance-and-accounting/coingecko-coins.md).

# CoinGecko Coins

Pull CoinGecko crypto prices, market caps, and volumes into Google Sheets or BigQuery for automated reporting and analysis.

CoinGecko is one of the largest cryptocurrency data aggregators, tracking prices, market caps, trading volumes, and historical data for thousands of coins. With the CoinGecko Coins source in Coupler.io, you can pull market chart data and historical snapshots directly into your preferred destination for analysis, reporting, or AI-powered workflows.

## Why connect CoinGecko Coins to Coupler.io?

* **Automate crypto reporting** — pull live and historical price data into Google Sheets, Excel, or BigQuery without manual exports
* **Track multiple coins** — create separate sources for Bitcoin, Ethereum, or any other coin and append them into a single dataset
* **Feed AI tools** — send price trends and market data to ChatGPT, Claude, Gemini, or other AI destinations for analysis and summaries
* **Combine with other sources** — join crypto data with your financial or business data using Coupler.io's built-in transformations

## Prerequisites

* A CoinGecko account with an active API key (available from the [CoinGecko Developer Dashboard](https://www.coingecko.com/en/developers/dashboard))
* The CoinGecko coin ID for the coin(s) you want to track — you can look these up via the [CoinGecko coins list endpoint](https://api.coingecko.com/api/v3/coins/list)
* A Coupler.io account

## Quick start

{% hint style="success" %}
If you want to track multiple coins, set up one source per coin and use the **Append** transformation in your data flow to combine them into one unified dataset.
{% endhint %}

## How to connect

{% stepper %}
{% step %}
**Create a new data flow in Coupler.io.** From your Coupler.io dashboard, click **Add data flow**, then search for and select **CoinGecko Coins** as your source.
{% endstep %}

{% step %}
**Enter your CoinGecko API key.** Paste your API key from the CoinGecko Developer Dashboard into the API key field. This authenticates Coupler.io to fetch data on your behalf.
{% endstep %}

{% step %}
**Configure your source parameters.** Fill in the required fields:

* **Coin ID** — the CoinGecko identifier for your coin (e.g. `bitcoin`, `ethereum`)
* **Currency** — the target currency for market data (e.g. `usd`, `eur`, `jpy`)
* **Entity** — choose **Market charts** for time-series data or **Histories** for point-in-time historical data
* For **Market charts**: select the number of **Days** to include (1, 7, 14, 30, 90, 180, 365, or max)
* For **Histories**: use the date picker to set a **Start date** and **End date**
  {% endstep %}

{% step %}
**Choose your destination.** Select where you want your data to land — Google Sheets, Excel, BigQuery, Looker Studio, or an AI destination like ChatGPT, Claude, Gemini, Perplexity, Cursor, or OpenClaw.
{% endstep %}

{% step %}
**Run your data flow.** Click **Run** to execute a manual run and verify that your data loads correctly.
{% endstep %}
{% endstepper %}

## CoinGecko Coins 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

{% tabs %}
{% tab title="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
  {% endtab %}

{% tab title="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
  {% endtab %}

{% tab title="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
  {% endtab %}
  {% endtabs %}

## Platform-specific notes

* The **Coin ID** must match CoinGecko's internal identifier exactly — use the [coins list endpoint](https://api.coingecko.com/api/v3/coins/list) 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

## CoinGecko Coins common issues

### Connection issues

<details>

<summary>My API key is rejected or returns an authentication error</summary>

Double-check that you've copied the full API key from the [CoinGecko Developer Dashboard](https://www.coingecko.com/en/developers/dashboard) without any trailing spaces or line breaks. API keys are case-sensitive. If the key was recently generated, wait a minute and try again — new keys can take a short time to activate.

</details>

<details>

<summary>The data flow fails to connect but my API key looks correct</summary>

Verify that your CoinGecko API key is active and hasn't been revoked. Log into the CoinGecko Developer Dashboard and confirm the key status. If you're on a free plan, ensure you haven't exceeded your monthly call limit.

</details>

### Missing data

<details>

<summary>No data is returned for my coin</summary>

The most common cause is an incorrect Coin ID. CoinGecko uses its own internal identifiers — for example, `bitcoin` not `BTC`. Use the [CoinGecko coins list](https://api.coingecko.com/api/v3/coins/list) to find the exact ID for your coin and update your source configuration.

</details>

<details>

<summary>Historical data is empty or incomplete for some dates</summary>

For the Histories entity, check that your start date and end date are set correctly using the date pickers — and that the date range doesn't extend before the coin's launch date. CoinGecko may not have data for very new coins or for dates before a coin was listed.

</details>

<details>

<summary>Community or developer data fields are null</summary>

This is expected behavior for many coins. CoinGecko only populates community and developer data for coins with active social or development activity. Smaller or less-tracked coins will return null for these fields.

</details>

### Data discrepancies

<details>

<summary>Prices in my data don't match what I see on CoinGecko's website</summary>

CoinGecko's website shows real-time prices, while the data in your Coupler.io data flow reflects the moment the data was last fetched. If your data flow runs on a schedule, there will be a natural lag. For Market charts, also confirm that the `days` parameter and currency match what you're comparing against on the site.

</details>

<details>

<summary>Market chart data has fewer data points than expected</summary>

CoinGecko automatically adjusts data granularity based on the `days` value. For 1 day, you get hourly points. For ranges above 90 days, you get daily points. This is a CoinGecko API behavior and cannot be overridden.

</details>

### Rate limits

<details>

<summary>My data flow fails intermittently or returns rate limit errors</summary>

CoinGecko enforces rate limits based on your API plan. Free-tier keys have lower call limits and may be throttled if multiple data flows run at the same time. Consider staggering the schedules of your data flows or upgrading to a paid CoinGecko API plan for higher limits.

{% hint style="warning" %}
Running many simultaneous data flows — especially with the `max` days setting — can quickly consume your API quota. Monitor your CoinGecko dashboard for usage.
{% endhint %}

</details>

## CoinGecko Coins FAQ

<details>

<summary>What is a CoinGecko Coin ID and where do I find it?</summary>

The Coin ID is CoinGecko's internal identifier for each cryptocurrency — it's not the same as the ticker symbol. For example, Bitcoin's Coin ID is `bitcoin`, and Ethereum's is `ethereum`. You can look up any coin's ID using the [CoinGecko coins list endpoint](https://api.coingecko.com/api/v3/coins/list).

</details>

<details>

<summary>Can I track multiple cryptocurrencies in one data flow?</summary>

Yes. Add multiple sources to your data flow — one per coin — and use Coupler.io's **Append** transformation to combine them into a single dataset. This lets you compare prices, market caps, and volumes across coins in one table.

</details>

<details>

<summary>What currencies are supported for the vs_currency parameter?</summary>

CoinGecko supports a wide range of fiat and crypto currencies, including `usd`, `eur`, `gbp`, `jpy`, `btc`, `eth`, and many more. See the full list at the [supported vs currencies endpoint](https://api.coingecko.com/api/v3/simple/supported_vs_currencies).

</details>

<details>

<summary>What's the difference between Market charts and Histories?</summary>

**Market charts** return time-series data — a sequence of data points (prices, market caps, volumes) over a selected number of days. **Histories** return snapshot data for a specific date range, including additional fields like community and developer metrics. Use Market charts for trend analysis and Histories for point-in-time records.

{% hint style="info" %}
See [Data Overview](#coingecko-coins-data-overview) for a full breakdown of fields available in each entity.
{% endhint %}

</details>

<details>

<summary>Why does my market chart data have fewer points than I expected?</summary>

CoinGecko automatically adjusts granularity based on the `days` value. A 1-day window returns hourly data points. Windows longer than 90 days return daily data points only. This is a platform limitation — it cannot be changed in Coupler.io.

</details>

<details>

<summary>Do I need a paid CoinGecko API plan?</summary>

A free CoinGecko API key works for getting started, but free plans have lower rate limits. If you're tracking many coins or running frequent refreshes, you may hit those limits. Check your usage in the CoinGecko Developer Dashboard and consider upgrading if you encounter rate limit errors.

{% hint style="info" %}
See [Common Issues](#coingecko-coins-common-issues) for tips on handling rate limit errors.
{% endhint %}

</details>

<details>

<summary>Can I send CoinGecko data to an AI tool like ChatGPT or Claude?</summary>

Yes. Coupler.io supports AI destinations including ChatGPT, Claude, Gemini, Perplexity, Cursor, and OpenClaw. You can route market chart or historical data directly to these tools for trend summaries, anomaly detection, or automated commentary.

</details>

<details>

<summary>What's the best way to build a historical price dataset from scratch?</summary>

Use the **Histories** entity with a start date and end date that covers your desired backfill window. For very long histories, you can also use the **Market charts** entity with `days=max` to pull all available time-series data in one run. Combine both entities using the **Join** transformation if you need time-series and snapshot data together.

{% hint style="info" %}
See [Best Practices](/sources/category/finance-and-accounting/coingecko-coins/best-practices.md) for advice on when to use `max` days vs. a specific window.
{% endhint %}

</details>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.coupler.io/sources/category/finance-and-accounting/coingecko-coins.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
