Measure email response time with Python
Get a simple response-time calculation from sent email activity and the timestamp context you provide.
Trigger
Email Sent
Triggers when a Gmail message is sent by the authenticated user. It polls the 'SENT' label and emits metadata including sender, recipients, subject, timestamp, and thread ID.
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
Estimating how quickly you reply from scattered message history requires manual searching and arithmetic.
- Calculate elapsed time from timestamps available to the run.
- Use sent-message events as a prompt to analyze reply timing.
- Expose missing timestamp context instead of assuming it.
Setup
Build it in a few focused steps.
- 1Connect Gmail and Codeinterpreter once in the Notis portal.
- 2Create an automation and describe the response-time calculation.
- 3In one instruction, specify the source of the original received timestamp or say how to report it as missing.
- 4Choose the Email Sent trigger and a destination for run reports.
- 5Test with one real sent email and verify the timestamp inputs and result.
Questions about this workflow
Does the sent event include when the original email arrived?
The listed event includes sender, recipients, subject, timestamp, and thread ID. It does not specify an original received timestamp, so that context must be available separately or reported as missing.
Can it calculate a response time without the original timestamp?
No. The calculation requires both the sent timestamp and the original received timestamp.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Gmail to Codeinterpreter. A trigger fires from one place; an action lands in another.
Gmail 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.
Email Sent
Triggers when a Gmail message is sent by the authenticated user. It polls the 'SENT' label and emits metadata including sender, recipients, subject, timestamp, and thread ID.
Get File
Get a file from the sandbox and returns the file. the files should be read from /home/user folder.
New Gmail Message Received Trigger
Triggers when a new message is received in Gmail.
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.
Gmail and Codeinterpreter, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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