curl --request POST \
  --url https://api.eflow.team/v1/networks/reporting/entity/table \
  --header 'Content-Type: application/json' \
  --header 'X-Eflow-Api-Key: <api-key>' \
  --data '
{
  "columns": {
    "column": "unix_timestamp"
  },
  "currency_id": "<string>",
  "from": "<string>",
  "query": {
    "exclusions": {
      "filter_id_value": "<string>",
      "resource_type": "offer"
    },
    "filters": {
      "filter_id_value": "<string>",
      "resource_type": "offer"
    },
    "metric_filters": {
      "metric_type": "impression",
      "metric_value": 123,
      "operator": "less_than"
    },
    "settings": {
      "campaign_data_only": true,
      "ignore_fail_traffic": true,
      "only_include_fail_traffic": true
    },
    "user_metrics": {
      "metric_aggr_function": "sum",
      "metric_type": "<string>"
    }
  },
  "timezone_id": 123,
  "to": "<string>",
  "usm_columns": [
    "<string>"
  ]
}
'

{
  "table": {
    "columns": {
      "column_type": "unix_timestamp",
      "id": "<string>",
      "label": "<string>"
    },
    "custom_metric_columns": {
      "column_type": "<string>",
      "label": "<string>",
      "network_reporting_custom_metric_id": 123
    },
    "reporting": {
      "avg_sale_value": 123,
      "cpa": 123,
      "cpc": 123,
      "cpm": 123,
      "ctr": 123,
      "cv": 123,
      "cvr": 123,
      "duplicate_click": 123,
      "epc": 123,
      "event": 123,
      "event_revenue": 123,
      "evr": 123,
      "gross_click": 123,
      "gross_sales": 123,
      "imp": 123,
      "invalid_click": 123,
      "invalid_cv_scrub": 123,
      "margin": 123,
      "media_buying_cost": 123,
      "on_hold_conversion_count": 123,
      "on_hold_potential_payout": 123,
      "on_hold_potential_revenue": 123,
      "payout": 123,
      "profit": 123,
      "revenue": 123,
      "roas": 123,
      "rpa": 123,
      "rpc": 123,
      "rpm": 123,
      "total_click": 123,
      "total_cv": 123,
      "unique_click": 123,
      "view_through_cv": 123
    },
    "usm_columns": {
      "column_type": "<string>",
      "label": "<string>"
    }
  }
}