Automation · Customer service and scheduling
Support the developer integrating your API on WhatsApp, with your Postman collection
An AI agent answers whoever integrates your API on WhatsApp with the collection, environment and mock your team keeps in Postman.
How do I answer, on WhatsApp, the questions of the developer integrating my API?
When a client's developer writes on WhatsApp because they do not know which endpoint to use or what their call is missing, the Met reads the workspace, collection and environment your team keeps for that API in Postman. It replies with the documented method, path and description, explains which variables the test environment expects without sharing secrets, and shares the mock server URL so they can test without touching production. It leaves a note on the contact with what they asked. If what they report looks like a bug in your API rather than a question, it hands the conversation to someone on the team.
What starts it
When the customer writes
It starts when a client's developer writes on WhatsApp with a question about your API. There is no trigger to configure: the Met assigned to the line handles it in that conversation.
Nothing to set up. The Met assigned to that channel picks up the conversation and runs the procedure inside it.
Who runs it
Technical support Met for those integrating your API
Customer service team
This is not a named, seeded Met. It is the Met that handles your product's support line, with Postman connected: its work ends when the developer has the endpoint, variables and mock they needed, or when someone on the team takes the case.
Run by the customer support Met
Channels: WhatsApp
What you need connected
- Postman Automate and collaborate
- Meteor CRM Sell and serve
6 steps · 6 tools
The procedure, step by step
Each step shows the tool that runs. They belong to the real connector: if one of them stopped existing, this page would not build.
- 1
Check the API's workspace
The Met gets the workspace your team set in the skill and checks its visibility. If it is public, anyone can open it; if it is partner, only invited people can. That tells it whether it can suggest the developer look on their own.
- 2
Find the endpoint in the collection
The Met gets the API collection, first as its lightweight map and, if it needs the detail, the full collection. It replies to the developer with the method, path and description your team documented for that request.
- 3
Explain the test environment
The Met gets the test environment and explains which variables the API expects, such as the base URL. If the environment stores keys or tokens, the skill tells it not to share their values.
- 4
Share the mock URL
The Met gets the collection's mock server and shares its URL, so the developer can test their integration against example responses before calling your real API.
- 5
Log it on the contact
The Met adds an internal note to the contact with what the developer asked and the request it pointed to, so your team sees which questions keep coming back in the documentation.
- 6
Escalate when it is an API bug
If what the developer reports is not a question but a response that does not match the documentation, the Met escalates to someone on the team with the reason and leaves the conversation.
Before you start
What you need ready
The Met solves none of these for you. If one is missing, the automation stops there.
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Postman connected in Met
In Met, open Connections → Postman → Connect and sign in with an account that sees your API's workspace. This procedure only reads, so you can turn off the write actions.
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The identifiers in the skill
Your team writes the workspace, collection, test environment and mock identifiers in the skill instructions, because the connector page has no tool to list them.
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A WhatsApp line with the Met assigned
The business connects its WhatsApp Business API line and assigns the Met that handles support. The conversation with the developer happens on that line.
The limits
What this automation does NOT solve
Better said here than discovered halfway through the rollout.
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It does not make calls to your API or run the collection: it answers with what is documented and with the mock, not with a live test.
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It does not fix the documentation. If the collection is out of date, the Met answers with what it says; the note on the contact shows your team what needs fixing.
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It does not tell by itself which variables are secret: that depends on the skill telling it, or on the environment you give it not storing secrets.
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It does not fix the technical bug. If your API is failing, the case goes to someone on the team.
FAQ
Questions about this automation
Yes, if the skill includes the identifiers of each collection and tells the Met which one to use based on what the developer asks.
No. This procedure does not invite anyone or change the workspace's visibility; it only tells the developer whether the workspace is public or partner.
The Met does not make it up: it says it is not documented, leaves the note on the contact and, if needed, hands the conversation to someone on the team.
Keep going
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Want this automation running on your own data?
We will show it to you with your accounts connected, not with a canned demo.