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Run a Postman collection's active monitors on demand
For API teams who want every active monitor for a Postman collection run now, after a deploy, by asking their AI assistant.
On this page
Connector
Connect Postman, pick your AI tool and paste the prompt.
The problem
Starting every monitor by hand before a release
Before or after a release you want every monitor for an API to run now. By hand you find each monitor, skip the paused ones and start them one by one, and it is easy to miss one or run the wrong environment.
Without PopdockAI
- Find every monitor for the collection
- Skip the paused ones
- Start each one by hand
- Run the wrong environment by mistake
With PopdockAI
- Every monitor for the collection is found
- They are filtered to your environment and split into active and paused
- You confirm, with a second check above five monitors
- Each active monitor starts once, and paused ones never run
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Trigger an immediate run of the active monitors for collection `{collection-name}`, limited to environment `{environment-name}` when given.
**Step 1: Resolve the collection**
Call `postman-get-collections` with `name` = `{collection-name}` (fall back to `name.contains`). If more than one matches, list them and ask which. Keep collection-uid.
**Step 2: Find its monitors**
Call `postman-get-monitors` with `collection-uid`. If `{environment-name}` is given, call `postman-get-environments` with `name` = `{environment-name}` and keep only monitors whose environment-uid matches. Split the monitors into active and paused.
**Step 3: Confirm**
List the active monitors that will run (name, environment). List paused ones separately and say they will be skipped. Ask the user to confirm the run. Running more than five monitors at once needs an explicit second confirmation.
**Step 4: Run**
For each confirmed active monitor, call `postman-run-monitor` once with its `monitor-id`. Run them one at a time and record success or the error for each.
**Step 5: Report**
A table of monitor, environment and whether the run was triggered. Explain that this server cannot read run results; the user should check the monitor's results in Postman.
**Rules & Guidelines:**
* Never run a paused monitor. Never call `postman-run-monitor` twice for the same monitor in one session.
* Do NOT call `postman-update-monitor`, `postman-add-monitor` or any other write tool.
**Validation:**
* If the collection has no monitors, say so and point to the schedule-collection-monitor prompt.
* If every monitor is paused, report that and stop without running anything.Who it's for
One answer, three teams that use it
Release engineers
Smoke test after a deploy
Run every active monitor for an API straight after release, in one request.
Run the Postman monitors for the Orders API collection in Production.
QA engineers
Check staging before sign-off
Run only the monitors for one environment, with paused ones left alone.
Run the Staging monitors for the Payments API collection.
On-call engineers
Check an API after an incident
Trigger every active check at once to see whether the fix holds.
Run all active monitors for the Auth API collection now.
How it works
What PopdockAI does when you ask
You name the collection, and an environment if you like, and your AI assistant shows which monitors will run. It starts them only after you confirm and lists what was triggered.
01
Ask
You name the collection, and optionally one environment.
02
Find
It finds its monitors and splits them into active and paused.
03
Confirm
You approve, with a second check when more than five would run.
04
Run
It starts each active monitor once and lists what was triggered.
What PopdockAI provides
The tools behind the answer
Ready made tools for Postman and one secure connection to your AI tool. No code, no exports.
postman-get-collections
postman-get-monitors
postman-get-environments
postman-run-monitor
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
A one-step smoke test across every active monitor
Related use cases
More ways to put this data to work
One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.

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