Documentation Index
Fetch the complete documentation index at: https://docs.tadata.com/llms.txt
Use this file to discover all available pages before exploring further.
By default, you run an agent by starting a conversation with it. Triggers let your agent run on its own — on a schedule or when something happens externally.
Adding a trigger
The easiest way is to just tell your agent in conversation:
- “Run every Monday at 9am”
- “Change the schedule to every weekday morning”
- “Add a webhook trigger”
The agent will set it up for you. Alternatively, go to the agent’s Build tab → Add Trigger and configure it from there.
Schedule triggers
A schedule trigger runs your agent automatically at a set time — for example, every Monday morning, or every night before you go to sleep.
You can add multiple schedules to the same agent.
Most templates come with a schedule already configured. You can change it by asking your agent or from the Build tab.
Webhook triggers
A webhook trigger lets an external system kick off your agent. When the webhook receives a request, the agent starts a new run with the request data as its input.
This is useful for event-driven workflows — for example, running an agent whenever a new row is added to a spreadsheet, or when a form is submitted.
To get your webhook URL, ask your agent to add a webhook trigger, or go to Build → Add Trigger → Webhook.
Pausing and resuming triggers
You can pause any trigger without deleting it. This is useful when you want to temporarily stop an agent from running — for example, while you’re updating its instructions or during a period when it’s not needed.
To pause or resume a trigger, go to the agent’s Build tab and toggle the trigger on or off.
A paused trigger will not fire until you resume it. All trigger settings are preserved while paused.
If an agent is blocked and can’t continue — for example, because it needs authentication or doesn’t know how to proceed — it will pause its triggers and notify you.
Running manually
You can always start a conversation with your agent to run it on demand. This is useful for testing or for agents that are too context-specific to automate on a fixed schedule.
