Data

The easiest way to use the Data API is to use the "Export as Data API Call" button in the visualizer tool. However you can find the official documentation below.

API Endpoint

https://www.graphjson.com/api/visualize/data

API Parameters

Field	Type	Description
api_key	string	your account api key
collection	string	the collection you want to query data from
IANA_time_zone	string	the time zone you want result dates formatted in
graph_type	string	the type of graph you want data for
start	string	where you want the query to begin
end	string	where you want the query to end
filters	array	list of filters to filter down the query
metric	string	what metric you want to aggregate on
aggregation	string	the type of aggregation you want to do
granularity	string	the granularity of the data returned
compare	string	the time period you want to compare against

So for instance, in Python your code might look like

import requests
import json
import time

payload = {
  "api_key": os.getenv('GRAPHJSON_API_KEY'),
  "collection": "all_events",
  "IANA_time_zone": "America/Los_Angeles",
  "graph_type": "Single Line",
  "start": "7 days ago",
  "end": "now",
  "filters": [],
  "metric": None,
  "aggregation": "Count",
  "customizations": {"showYAxis":true,"showDots":true,"lineColor":"#987DE3","secondaryColor":"#9CA3AF"},
  "granularity": "auto",
  "compare": "7 days ago"
}

r = requests.post("https://www.graphjson.com/api/visualize/data", json=payload)