Create Datapoints

beeminder.create_datapoints

ActionBusiness appsconnection required

Calls the Beeminder API with the connection's credentials.

Add several datapoints to one goal in a single call and report which rows Beeminder accepted and which it refused.

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Connection

Required: Yes — the node will not save without one
Auth type: API key
Providers: Beeminder
Secret shape: the personal auth token, or {"auth_token": "…"} / {"access_token": "…"}
Config it needs: username
Resolved by: config.connection_id, else node.connection_id

Configuration

2 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

Field	Type	Required	Default	Constraints	Example
goal The goal's slug — the last segment of its Beeminder URL, e.g. 'weight'.	string	Yes	—	—	weight
datapoints The datapoints to add. Each row is an object with at least a numeric 'value', and may also carry timestamp, daystamp, comment and requestid.	array	Yes	—	≥ 1 characters; array of object	[{"comment":"from Mantle","requestid":"run-1","value":1},{"daystamp":"20260910","value":2}]

Example configuration

Every value below is the contract’s own example or default — nothing invented.

{
  "datapoints": [
    {
      "comment": "from Mantle",
      "requestid": "run-1",
      "value": 1
    },
    {
      "daystamp": "20260910",
      "value": 2
    }
  ],
  "goal": "weight"
}

Output

One shape.

result

Field	Type	Example
datapoints The datapoints Beeminder created.	array	—
errors One entry per row Beeminder refused, with its reason.	array	—
requested How many rows were sent.	number	—
created How many rows Beeminder created.	number	—
partial True when some rows were refused.	boolean	—

{
  "created": 0,
  "datapoints": [],
  "errors": [],
  "partial": false,
  "requested": 0
}

Related Beeminder nodes

See Create Datapoints run in a workflow.

In a technical demo we add the Beeminder connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.

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