Links

Payments (Xfers) Above $X Cnt

Definition

The sum count of payments (transfers) above a specific USD amount. This family of metric supports $100k, $1M, $10M, and $100M USD value thresholds.
Name
MetricID
Category
Subcategory
Type
Unit
Interval
Payments Above $100k Cnt
TxTfrValAbUSD100kCnt
Transactions
Transactions
Sum
Txs
1d
Payments Above $1M Cnt
TxTfrValAbUSD1MCnt
Transactions
Transactions
Sum
Txs
1d
Payments Above $10M Cnt
TxTfrValAbUSD10MCnt
Transactions
Transactions
Sum
Txs
1d
Payments Above $100M Cnt
TxTfrValAbUSD100MCnt
Transactions
Transactions
Sum
Txs
1d

Details

  • This metrics shows the incidence (count) of payments above each of the supported thresholds.
  • Payments are defined as transfers (xfers) and represent the individual asset transfers within a transaction.
  • A transaction may be a collection of transfers which, specially in UTXO-based blockchains, may represent several P2P payments.
  • A cryptoasset exchange, for example, may engage in transaction batching whereby user withdraws are aggregated in a single transaction comprised of multiple outputs.
  • Each of the outputs represents a transfer. And while each transfer (output) may be going to different users, they are all processed within the same transaction.
  • For this reason, this metric is calculated at the transfer-level so all individual payments are accounted for.
  • In this version of this metric, change outputs are not adjusted. This means not only peer-to-peer tranfers are accounted for, but also when a user sends fund to their own wallets.
  • For example, if after paying each of the users withdrawing, the exchange still has a remaining balance, the change output is still accounted for in this metric if it falls below the metric's threshold.
  • In other words, if the recipients listed in a transaction's output require payments that, when added together, have a value that is lower than the input, a change output that goes back to the sender must be created. In such circumstances, this metric would also account for the change output if it fell under the measuring threshold.

Interpretation

  • The thresholds supported by this metric family can be used to better understand the type of users interacting with a cryptoasset network.
  • For example, if a network is predominantly being used by whales, one would expect payments above $1M USD to occur more frequently than payments below $10 USD.
  • Similarly, it can show the predominance of different types of investors, such the balance between retail and institutional investors within a network.

Release History

  • Released in the 5.1 version of NDP