get_money_flow
Retrieve transaction count and volume data from the Wormholescan API for specified timeframes, chains, and applications, returning a structured DataFrame for analysis.
Instructions
Fetch transaction count and volume data from Wormholescan API for a specific period.
Args:
timespan: Time span for data (1h, 1d, 1mo, 1y). Default: 1d
from_date: From date in ISO 8601 format (e.g., 2024-01-01T15:04:05Z). Default: empty
to_date: To date in ISO 8601 format (e.g., 2024-01-01T15:04:05Z). Default: empty
appId: Application ID to filter results. Default: empty
sourceChain: Source chain ID to filter results. Default: empty
targetChain: Target chain ID to filter results. Default: empty
Returns:
String representation of a pandas DataFrame containing transaction count and volume data
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| appId | No | ||
| from_date | No | ||
| sourceChain | No | ||
| targetChain | No | ||
| timespan | No | 1d | |
| to_date | No |
Input Schema (JSON Schema)
{
"properties": {
"appId": {
"default": "",
"title": "Appid",
"type": "string"
},
"from_date": {
"default": "",
"title": "From Date",
"type": "string"
},
"sourceChain": {
"default": "",
"title": "Sourcechain",
"type": "string"
},
"targetChain": {
"default": "",
"title": "Targetchain",
"type": "string"
},
"timespan": {
"default": "1d",
"title": "Timespan",
"type": "string"
},
"to_date": {
"default": "",
"title": "To Date",
"type": "string"
}
},
"title": "get_money_flowArguments",
"type": "object"
}