Scheduling Runs
Create, edit, fire, and stop Conbersa schedules: one-off or recurring, fixed time or randomized window, with per-day caps and per-platform content.
A schedule is a run with a clock attached. You build it once, and it builds the same run at each fire time. It can run engagement or post content, at a fixed time or inside a window.
Anatomy of a schedule
| Field | Values | Meaning |
|---|---|---|
name |
text | Label shown in the app |
run_type |
agentic_group, content_upload |
Engagement or a media post |
schedule_type |
once, recurring |
Fires once or repeats |
timing_mode |
specific, random |
Exact time or a window |
timezone |
IANA, e.g. America/New_York |
Timezone for the timing fields |
scheduled_at |
ISO timestamp | Used with specific |
random_window_start / _end |
times | Used with random |
max_runs_per_day |
integer | Cap on runs per day |
pad_ids |
list | Devices the run targets |
max_steps |
integer | Agent step cap for the run |
Engagement schedules
For run_type="agentic_group", give one driving mode — exactly as start_run:
prompt_id— a saved template,engagement— device-profile auto-apply per device (with optionalplatform),task— free-form (with optionalpersona).
In plain language to an MCP agent:
Create a schedule called "Morning warmup" that runs my "Warmup — TikTok" prompt on these five devices every day at 9am America/New_York, capped at one run per day.
Content schedules
For run_type="content_upload", give platform_groups, files, content_type, and optionally caption and sound_url. The schedule stores the same structure an immediate content run uses. See Posting to multiple accounts.
If you omit a caption, it's backfilled from the first platform group, so single-platform schedules don't post blank captions. Set it anyway.
Timing that looks human
For anything recurring, prefer timing_mode="random" with a window and a per-day cap:
random_window_start/random_window_end— spread fire times across a range.max_runs_per_day— stop runaway frequency.
Fixed times are fine for coordinated moments: a launch, a live event. Random windows are better for daily distribution, where regularity itself is a signal.
Managing schedules
list_schedules(status?, run_type?)— see what exists and when it next fires.get_schedule(schedule_id)— inspect the full config.edit_schedule(schedule_id, ...)— change only the fields you pass.run_schedule_now(schedule_id)— fire it immediately, the same path as the app's Run now.stop_schedule(schedule_id)— stop the active session and re-arm or finish the schedule.delete_schedule(schedule_id)— remove it.
Best practices
- Cap steps. Set
max_stepsper the engagement band (100–150 for recovery, 180–240 for lurk/full). - Start sparse. One run a day, then add more as you watch health.
- Use saved prompts. Free-form tasks in a recurring schedule drift.
- Check
next_run_atafter creating one, to confirm the timezone landed where you meant.
Next
- MCP workflows — scheduling as an agent prompt.
- Tool reference — full arguments.