See how monthly Ably activity is distributed
Understand which channels carry the activity using a scheduled summary of counts you provide or can access.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Execute Code
Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.
Why this helps
Monthly totals can hide how activity is split across channels, making imbalances hard to spot.
- Show activity distribution across channels.
- Compare shares when current and prior data are available.
- Save a concise report or chart for a monthly review.
Setup
Build it in a few focused steps.
- 1Connect Ably and Codeinterpreter once in the Notis portal.
- 2Create an automation in the portal or tell Notis in plain language from any channel.
- 3Describe the monthly count source, channels, and whether a prior month comparison is needed.
- 4Choose notis_cron as the trigger and select where run reports should go.
- 5Test with one real monthly dataset.
Questions about this workflow
Can it obtain event counts from Ably on its own?
It needs accessible count data or a source that your connected access can read. State the source in the instruction.
Can it compare channel shares month to month?
Yes, when both periods are available and the comparison is specified.
What if a channel has no count in the dataset?
Tell the analysis how to treat missing values, such as unknown or zero. The workflow should not assume they mean the same thing.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ably to Codeinterpreter. A trigger fires from one place; an action lands in another.
Ably triggers
Codeinterpreter actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Create Sandbox
Create a sandbox to execute python code in a jupyter notebook cell. this is useful for agents to communicate, execute code, see output, read files, write files, etc. it's like you own personal computer, but in the cloud. use /home/user folder to write/read files.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Execute Code
Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.
Get File
Get a file from the sandbox and returns the file. the files should be read from /home/user folder.
Run Terminal Command
Run a command in the terminal and returns the stdout, stderr, and error code. use /home/user folder to write/read files.
Upload File
Upload a file to the sandbox environment. the files should be uploaded to the /home/user folder.
Connect any two apps with Notis in the middle.
Ably and Codeinterpreter, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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