FIELD_STATISTIC_ACCOUNT

Aggregate accounts through basic statistics on account fields.

Overview

This method allows you to aggregate accounts through basic statistics and a robust filter object. There are many types of filters you can apply and you can find information regarding those in the Filters section of the docs. The endpoint example here shows off one of the many filters.

FIELD_STATISTIC_ACCOUNT

Aggregate accounts through basic statistics on account fields.

POSThttps://mainnet.carpool.dev/query/solana

Header parameters

Body

application/json

type*string

should be set to 'FIELD_STATISTIC_ACCOUNT' This is the type of query you want to perform.

Example: "FIELD_STATISTIC_ACCOUNT"

query*Query (object)

Response

200

Successful Response

Body

application/json

responseResponse_response (object)

Request

JavaScriptCurlPythonHTTP

const response = await fetch('https://mainnet.carpool.dev/query/solana', {
    method: 'POST',
    headers: {
      "x-api-key": "text",
      "Content-Type": "application/json"
    },
    body: JSON.stringify("{\n    \"type\": \"FIELD_STATISTIC_ACCOUNT\",\n    \"query\": {\n        \"programId\": \"CndyV3LdqHUfDLmE5naZjVN8rBZz4tqhdefbAnjHG3JR\",\n        \"accountName\": \"CandyMachine\",\n        \"statistic\": \"avg\",\n        \"path\": \"data.creators.percentageShare\",\n         \"filter\": {\n            \"type\": \"ACCOUNT_DATA_KEYWORD\",\n            \"path\": \"collectionMint\",\n            \"value\": \"GH2mL1wdNZZQbogCGs8Rinp6zvLxzCzpH17v9Aj1xesF\"\n        }\n    }\n}"),
});
const data = await response.json();

Response

200

{
  "response": {
    "value": 100
  }
}

Statistic

The "statistic" field in the post body is based on the following type and can adapt to the kind of query you wish to perform

type FieldStatistic = 'avg' | 'sum' | 'std' | 'min' | 'max' | { percentile: number }

Filters

As mentioned above, the api definition here illustrates one of Carpool's many filter types. All queries that accept a filter object in the POST body can make use of any of the potential filters. Please see the Account Filters section of the documentation to better understand how they are implemented for account related queries.

🎛️Account Filters

Example

Program - Candy Machine

Description - Return the average of the value at data.creators.percentageShare for all CandyMachine account types. Filter for only accounts that include the pubkey "GH2mL1wdNZZQbogCGs8Rinp6zvLxzCzpH17v9Aj1xesF" for the collectionMint value and only look in the specified time range.

Javascript

var myHeaders = new Headers();
myHeaders.append("x-api-key", "<API_KEY>");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "type": "FIELD_STATISTIC_ACCOUNT",
  "query": {
    "programId": "CndyV3LdqHUfDLmE5naZjVN8rBZz4tqhdefbAnjHG3JR",
    "accountName": "CandyMachine",
    "path": "data.creators.percentageShare",
    "statistic": "avg",
    "filter": {
      "type": "ACCOUNT_DATA_KEYWORD",
      "path": "collectionMint",
      "value": "GH2mL1wdNZZQbogCGs8Rinp6zvLxzCzpH17v9Aj1xesF"
    },
    "timeRange": {
      "before": "2023-07-19T22:53:09+0000",
      "after": "2023-07-11T22:53:09+0000"
    }
  }
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://mainnet.carpool.dev/query/solana", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

cURL

curl --location 'https://mainnet.carpool.dev/query/solana' \
--header 'x-api-key: <API_KEY>' \
--header 'Content-Type: application/json' \
--data '{
    "type": "FIELD_STATISTIC_ACCOUNT",
    "query": {
        "programId": "CndyV3LdqHUfDLmE5naZjVN8rBZz4tqhdefbAnjHG3JR",
        "accountName": "CandyMachine",
        "path": "data.creators.percentageShare",
        "statistic": "avg",
        "filter": {
            "type": "ACCOUNT_DATA_KEYWORD",
            "path": "collectionMint",
            "value": "GH2mL1wdNZZQbogCGs8Rinp6zvLxzCzpH17v9Aj1xesF"
        },
        "timeRange": {
            "before": "2023-07-19T22:53:09+0000",
            "after": "2023-07-11T22:53:09+0000"
        }
    }
}'