Forecast output

The columns, timestamp format and download formats of a completed forecast job.

GET /jobs/{job_id}/download returns the forecast as a table with one row per series and forecast step.

Columns

Column	Type	Meaning
item_id	string	The series identifier from your input
timestamp	timestamp	The forecasted step
mean	float	Point forecast
0.1, 0.5, 0.9, …	float	One column per requested quantile level (quantile_levels), named by the level

Columns appear in that order. If you did not pass quantile_levels, the model’s default levels are included.

Rendering options

Two optional form fields on POST /forecast (and JSON fields on the storage-object and batch variants) change how the table is rendered. Defaults preserve the output exactly as it has always been produced.

Field	Values	Default	Effect
timestamp_format	pandas, iso8601	pandas	pandas renders 2026-01-01 00:00:00; iso8601 renders 2026-01-01T00:00:00+00:00 (timestamps are UTC)
quantile_column_style	raw, prefixed	raw	raw names quantile columns 0.1; prefixed names them q0.1 (friendlier for tools that dislike numeric headers)

Download formats

GET /jobs/{job_id}/download?format=…

format	Response
omitted	The default: a 307 redirect to a short-lived signed URL when the result is one published file, otherwise the CSV itself, or a zip when the job produced several files
csv	The CSV streamed through the API (text/csv)
parquet	The same table as Parquet (application/octet-stream)
zip	Every output file bundled as results_{job_id}.zip
presign	Always a 307 redirect to a signed URL (single-file results only)

An unsupported combination — for example presign on a multi-file result — is a 400 with error_code: validation_error and a detail naming the format to use instead.