Number of accounts

• Total number of accounts - Counts all addresses which hold the XRP token over time. It is computed by summing all holder distribution metrics. Holder distribution metrics are computed on top of the balances table.
• Number of active accounts - Tracks the number of addresses which have either sent or received the XRP token in the previous 30, 60, or 90 days. It is computed on top of the balances table.
• Number of accounts with minimum reserves - Computed by summing all holder distribution metrics except the following groups:
  • 0-0.001
  • 0.001-0.01
  • 0.01-0.1
  • 0.1-1
  • 1-10

Free Access

Amount of accounts

Timeseries Data

• Total number of accounts - Daily frequency
• Number of active accounts - Five-Minute Intervals
• Number of accounts with minimum reserves - Daily frequency

On-Chain Latency

Available for:

• holders_distribution_total - these assets
• active_addresses_30d - these assets
• active_addresses_60d - these assets
• active_addresses_90d - these assets

Available under the holders_distribution_total name.

1
{
2
  getMetric(metric: "holders_distribution_total") {
3
    timeseriesDataJson(
4
      slug: "xrp"
5
      from: "2020-01-01T00:00:00Z"
6
      to: "2020-01-07T00:00:00Z"
7
    )
8
  }
9
}

Available under the active_addresses_30d name.

1
{
2
  getMetric(metric: "active_addresses_30d") {
3
    timeseriesDataJson(
4
      slug: "xrp"
5
      from: "2020-01-01T00:00:00Z"
6
      to: "2020-01-07T00:00:00Z"
7
    )
8
  }
9
}

Available under the active_addresses_60d name.

1
{
2
  getMetric(metric: "active_addresses_60d") {
3
    timeseriesDataJson(
4
      slug: "xrp"
5
      from: "2020-01-01T00:00:00Z"
6
      to: "2020-01-07T00:00:00Z"
7
    )
8
  }
9
}

Available under the active_addresses_90d name.

1
{
2
  getMetric(metric: "active_addresses_90d") {
3
    timeseriesDataJson(
4
      slug: "xrp"
5
      from: "2020-01-01T00:00:00Z"
6
      to: "2020-01-07T00:00:00Z"
7
    )
8
  }
9
}