The weekly community challenge is live! One winner gets $150 cash.
What is one small but repetitive task you’d love Postman to take off your plate?
How to enter:
Reply to this thread during the 24-hour window with your idea. Keep it clear and specific so we can picture how Postman could help.
Deadline:
Thursday at 10am BST / 2:30pm IST
Winner announced on Friday. Go.
This contest is open worldwide to participants 18+. By entering, you grant Postman the right to feature your submission on our website, blog, and social channels. Winners will be announced here and notified via Discourse DM.
Right now, whenever a new API key is issued (for dev, staging, or prod), I have to manually go into each environment and update the key in Postman. It’s repetitive and error-prone.
If Postman could automatically fetch, validate, and update these keys on a schedule (or with a single “refresh” button), it would save a ton of time and ensure my requests never fail due to expired credentials.
Updating API documentation every time I change a request feels really repetitive. It would be super helpful if Postman could automatically sync collection changes directly to published docs, so they always stay up to date without extra manual effort.
One small but repetitive task I’d love Postman to take off my plate is automated API health checks across multiple environments.
Before a new deployment, I have to manually run collections to verify that all our critical endpoints are up and responding correctly in our dev, staging, and production environments. This is a tedious but essential process.
Postman could automate this completely. I’d set up a collection of GET requests for our key APIs and use a Postman Monitor to run it on a set schedule. It would run the tests I’ve written to check for a 200 OK status and a valid response body, then send a quick notification to our team’s Slack channel if any of the tests fail. This would save a ton of manual effort and provide immediate, proactive feedback on our API health.
Dream API automation: “API Mirror Swap – Auto-Localize Dynamic UIs”
Run a single Postman Flow that automatically tests every locale version of your app’s content.
How it works:
Define a list of locales (en-US, fr-FR, ta-IN) as input scenarios.
Use a Repeat block to loop through each locale and send requests with that parameter.
Capture localized responses (dates, greetings, currency formats), compare them to a baseline, and instantly flag mismatches.
Why it matters: Localization testing is one of the most repetitive and error-prone tasks. Automating it with Postman saves hours, prevents costly bugs, and makes global rollouts effortless.
Automatically export API response data into CSV format. When running a collection of API requests, Postman could use a Post-response script to extract predefined fields from each response and append them to a CSV file. This would save time for developers who need to analyze or validate large datasets from API endpoints repeatedly. This task is small yet repetitive, and automating it would significantly enhance efficiency in API testing and data analysis workflows.
Imagine having to log in, grab a token, and paste it into every single API request like some underpaid intern who only knows Ctrl+C and Ctrl+V. That is where Postman swoops in like a caffeine fueled lifesaver. You can set up one little login request, tell Postman to snag the token, stash it in an environment variable, and then let every other request borrow it automatically. No more copy paste marathons, no more sighing at expired tokens, just smooth, automated, and oddly satisfying.
I work with multiple projects and use Postman extensively for API testing and automation. One of the repetitive tasks I face is during test planning and effort estimation for automation — it requires manual effort to analyze the Swagger/OpenAPI specification and count APIs across services.
If Postman could take this off my plate, it would be a huge time-saver.
For example, if I upload a Swagger file like https://petstore.swagger.io/, Postman could automatically generate a summary table of APIs per service, grouped by HTTP method.
For the Pet Service, the summary would look like this:
Service
Total APIs
GET
POST
PUT
DELETE
Pet
7
2
3
1
1
This would help me quickly create test plans, estimate automation effort, and prioritize areas effectively without spending extra manual effort on API breakdown.
While working on Postman App and Postman Notebook challenge, I suffered from following points: -
Environment Switching: I seriously got irritated with changing the environment based on the request or collection I used. I have to manually switch for the environment variables.
Test Result Summary: While working on my postman notebook, I ran a lot of test queries. And have to open each individual test for the result to be overviewed. So it would be better if there is some sort of quick overview.
Auto-filing for the params: For the JSON body, query params, or headers request. If get automated, automating those things would be great.
If there was way that the APIs could be sorted and saved into collection with similar baseURLs, headers or params.
Also if I enter a new api which has the same base url then if the headers with the previously used similar api could be automatically used in the new api it would be a great automa
If you could solve both these automations it would be great
One of the most tedious parts of my daily workflow is juggling updates to API definitions. When the backend team changes the Swagger/OpenAPI spec, I still have to:
Re-import the file,
Manually diff what’s changed,
Update test collections, environment variables, and request logic in multiple places.
Currently, while Postman does support versioning, live previews, and even notifications when an API spec changes, there’s no single-click solution that detects differences, summarizes them clearly, and applies updates across the board.
What if Postman could:
Generate an intuitive service-level summary table (grouped by HTTP method) from updated specs?
Visually highlight modified, added, or deleted endpoints and fields?
Offer a one-click sync to update any impacted requests, tests, and environments?
That level of automation would dramatically reduce manual overhead and help us maintain stability—even as APIs evolve rapidly. It’s about time Postman goes from “helping test APIs” to actively managing API change.
Idea:
Postman could automatically refresh and update environment variables such as authentication tokens, session IDs, or dynamic timestamps across collections.
Why this helps:
Right now, I often have to manually copy-paste new tokens or update variables whenever they expire. This is repetitive, error-prone, and slows down testing. If Postman could handle token renewal (via a pre-configured request or script) and auto-sync it across all environments/collections, it would save time and ensure smoother workflows.
Smart Response Comparison
Postman could compare the latest API response to the previous one and highlight changes, so I don’t have to manually diff JSON outputs.
It would be great to have a simple way to export test results directly to platforms like Azure DevOps or Jira—without needing to write extra code, use sendRequest(), or add complexity to external build pipelines.
Ideally, this could be set up either as an option in the collection runner or configured within the collection itself. Something as straightforward as how external key vaults are linked to a vault would be perfect.
I’d also love to see similar support for “test data” files—so you can connect directly to your data without having to manually save it as JSON or CSV every time. This could be integrated with your code repository, or maybe even pulled from a document management system like SharePoint.
Adding these features would really enhance the experience for end-to-end testing and make things much smoother for teams.
Repetitive manual debugging is a time sink. My idea is to turn all that guesswork into a structured, visual process with a single click.
When a request fails, Postman could display a “View Debug Log” button right next to the response panel. Clicking this would open a detailed debug timeline view that walks you through every step of the request lifecycle.
How It Could Work:
Variable Resolution: Display resolved values for all variables (environment, collection, globals) before the request is sent — instantly revealing wrong or missing values.
Pre-request Script Output: Automatically capture all console.log() outputs and execution results, so no more sprinkling manual logs.
Header Transformations: Highlight headers that were dynamically added, modified, or removed by scripts to catch auth or content-type issues.
Final Request Body: Show the exact payload that was sent after variable substitution and scripting — perfect for debugging dynamic requests.
Network Timeline: Provide a clear timeline of when the request was sent, how long it took, and when the response was received to diagnose delays.
Replay with Debug: Allow re-running the request in debug mode so developers can step through each stage interactively.
Why This Helps:
Right now, debugging a failed request means trial-and-error, manually checking variables, guessing what payload was sent, and re-running requests multiple times. This is slow, error-prone, and frustrating.
A Postman Debug Mode would give developers instant visibility into what happened, reducetrial-and-error, and make troubleshooting faster, more confident, and less reliant on guesswork.
I manually validate every field in API answers as a QA, which takes a lot of time. I have to verify that every field is there, of the right type, and satisfies any format or range criteria for every endpoint. This is time-consuming and repetitive, particularly when APIs change regularly or answers contain dozens of fields.
Postman’s workload would be greatly reduced if an MCP agent could produce baseline tests for every field in a response automatically.
As an illustration, the agent could:
Examine the API response in detail.
Tests for field presence, data kinds, and formats (such as email, phone number, and date) can be automatically generated.
Tests should be continuously suggested or updated as the schema evolves.
Create negative tests as well, such as what occurs if a necessary field is left blank.
Instead of wasting hours on tedious field-by-field inspections, QA engineers like me could concentrate on more in-depth functional and edge-case testing.
I frequently have to execute load and performance tests on APIs as a QA to observe how they respond under pressure. I typically have to export my collections into Newman or plug them into third-party tools like JMeter, K6, or Locust because Postman isn’t currently designed for load testing out of the box. This removes me from the Postman workflow and adds more setup procedures.
Having a lightweight built-in load testing function in Postman would be very beneficial. For instance, using MCP integration or the Collection Runner, I could:
Specify how many concurrent requests or virtual users there are.
Decide on a ramp-up period, such as progressively adding users over a period of one to five minutes.
Test against production or staging environments.
Get real-time metrics immediately visualized in Postman, including average response time, 95th percentile latency, throughput, and error rates.
A straightforward built-in option for baseline performance checks would save a great deal of repetitious work and make Postman a one-stop shop for both functional and performance testing, even though it isn’t intended to replace specialized load testing tools.
One repetitive task I’d love Postman to take off my plate is manually generating API documentation updates whenever the collection changes.
Right now, every time I update an endpoint (adding/removing parameters, tweaking response examples), I have to go into the documentation and adjust it manually to stay in sync. It feels like doing the same housekeeping again and again.
If Postman could auto-sync collection updates with documentation drafts—highlighting what changed and suggesting text updates—I could approve and publish in seconds instead of rewriting details each time.
That way, the docs would always stay aligned with the collection without me burning time on repetitive edits.
Postman Debug Mode – One-Click Request Debugging