Weatherman

Forecast requests submitted via GitHub Actions. Click any run for full report.

Submit Forecast Run

Supply a payload, or run a test

Payload JSON

Payload instructions

⚠️ Time series are assumed to be continuous at your time granularity! If not, backfill them.

Payload is JSON only.
For custom runs, provide values in series.
For M5 test mode, use series_names: ["demo_mode_m5"] and series: [].

Field	Required	Description	Example
`run_name_root`	Yes	Base run name; backend prepends PST timestamp	`my-run`
`start_datetime`	Custom mode	First timestamp for the series (ISO)	`2026-01-01T17:15:00`
`granularity`	Custom mode	Time spacing between points	`1h`, `1d`, `15m`
`horizon`	No	Forecast periods to predict after history	`24`
`model`	No	Forecast backend	`nixtla`, `autogluon`
`n_series`	No	Series count hint (used for M5 demo sampling)	`3`
`backtest_windows`	No	Rolling holdout window count for SMAPE backtests	`3`
`series_names`	Custom mode	List of names for each series (`demo_mode_m5` reserved for demo)	`["trend","seasonal","combined"]`
`series`	Custom mode	Data values. Single list or list-of-lists (continuous, no gaps)	`[[...],[...],[...]]`

{
  "start_datetime": "2026-01-01T00:00:00",
  "granularity": "1d",
  "horizon": 7,
  "model": "nixtla",
  "run_name_root": "my-forecast-run",
  "n_series": 3,
  "backtest_windows": 3,
  "series_names": [
    "trend",
    "seasonal",
    "combined"
  ],
  "series": [
    [
      100,
      102,
      104,
      106,
      108,
      110,
      112,
      114,
      116,
      118,
      120,
      122,
      124,
      126,
      128,
      130,
      132,
      134,
      136,
      138,
      140,
      142,
      144,
      146,
      148,
      150,
      152,
      154,
      156,
      158,
      160,
      162,
      164,
      166,
      168,
      170,
      172,
      174,
      176,
      178,
      180,
      182,
      184,
      186,
      188,
      190,
      192,
      194,
      196
    ],
    [
      13,
      18,
      25,
      17,
      9,
      14,
      22,
      12,
      18,
      25,
      17,
      9,
      14,
      22,
      13,
      18,
      25,
      17,
      9,
      14,
      22,
      12,
      18,
      25,
      17,
      9,
      14,
      22,
      13,
      18,
      25,
      17,
      9,
      14,
      22,
      12,
      18,
      25,
      17,
      9,
      14,
      22,
      13,
      18,
      25,
      17,
      9,
      14,
      22
    ],
    [
      113,
      120,
      129,
      123,
      117,
      124,
      134,
      126,
      134,
      143,
      137,
      131,
      138,
      148,
      141,
      148,
      157,
      151,
      145,
      152,
      162,
      154,
      162,
      171,
      165,
      159,
      166,
      176,
      169,
      176,
      185,
      179,
      173,
      180,
      190,
      182,
      190,
      199,
      193,
      187,
      194,
      204,
      197,
      204,
      213,
      207,
      201,
      208,
      218
    ]
  ]
}

Leaderboard (avg SMAPE)

Rank	Model	Avg SMAPE	Samples
1	AutoARIMA	9.3396	36
2	AutoETS	9.4486	36

Submit Forecast Run

Leaderboard (avg SMAPE)

20260223-133055-pst-my-forecast-run

20260223-132826-pst-backtest-view

20260223-131848-pst-my-forecast-run

20260223-130110-pst-demo-m5-test

20260223-130106-pst-my-forecast-run

20260223-125244-pst-my-forecast-run

20260223-125102-pst-status-custom-1

20260223-124255-pst-my-forecast-run

20260223-123912-pst-my-forecast-run

20260223-201831-regression-custom

20260223-201040-debug

20260223-200933-my-forecast-run

20260223-200623-my-forecast-run

20260223-200414-my-forecast-run

20260223-195202-my-forecast-run

post-fix-check

20260223-193801-my-forecast-run

run-fix-test