Setting the file. One moment.
Skill 103 · Querying PostHog Data
Subchapter 103.34
references/models-autoresearch.mdMarkdown2 KBView on GitHub
A standing prediction question: a target event, a population, and a horizon (“who will download a file in the next 30 days?”). An agent searches for a model that answers it, and the product scores the population on a cadence.
| Column | Type | Nullable | Description |
|---|---|---|---|
id | UUID | NOT NULL | Pipeline UUID. |
team_id | Integer | NOT NULL | Team the pipeline belongs to. |
name | String | NOT NULL | Human-readable name. |
description | String | NOT NULL | Free-text description; blank when unset. |
target_event | String | NOT NULL | Event the pipeline predicts, for example ‘$pageview’. |
horizon_days | Integer | NOT NULL | Number of days ahead the prediction looks for the target event. |
status | String | NOT NULL | One of draft, bootstrapping, running, converged, paused, archived. |
iteration_budget | Integer | NOT NULL | Maximum training iterations the agent loop may spend. |
iteration_budget_remaining | Integer | NULL | Training iterations still available to spend (NULL when unset). |
output_person_property | String | NOT NULL | Person property the champion model’s score is written to; blank when unset. |
last_scored_at | DateTime | NULL | When inference last ran (NULL before the first run). |
created_at | DateTime | NOT NULL | When the pipeline was created. |
updated_at | DateTime | NOT NULL | When the pipeline was last modified. |
team_id)