Front Line
AI Customer Support Agent
Resolves customer questions across chat and email using your knowledge base and hands off complex cases.
Extensions
Custom API or Webhook Integration
Your AI product connects to one documented API or webhook, including your own in-house systems.
Some of the systems that matter most to your business have no ready-made connector: an in-house database, an industry platform or a niche tool. This add-on connects the AI product you already run to one documented API or webhook. Each call and event is agreed in writing first, errors are handled properly, and access runs on keys you create and control.
- Connects your AI product to one documented API or webhook
- Agrees every call and event in writing before building
- Includes error handling so failures are caught, not hidden
$2,500
10–20 working days
What it is
The Custom API or Webhook Integration connects an AI product you already run, or are buying now, to one documented third-party or in-house API. The product can send data, fetch it, or react to webhook events from that system, as agreed before building. Error handling is included, and it is tested against your real system.
Why businesses buy it
When your AI product cannot reach the system that holds the real data, staff end up copying information between screens, and that is where errors creep in. A proper connection lets the product fetch, send or react to events on its own. Generic automation tools can do some of this, but each step can break quietly when an API changes. The written scope agrees the calls, the events and the error handling before work starts, and tests everything against your real system.
Problems this solves
Your AI product cannot reach the system where key data lives
This add-on connects the product to one documented third-party or in-house API. It can send data there, fetch it, or react to webhook events, exactly as agreed before building.
Staff move information between two systems by copy and paste
Once the API link is live, the product passes the agreed records across on its own. Your team no longer re-types details, and the updated documentation shows which fields move where.
A failed connection breaks silently and nobody notices for days
Error handling is built into the integration, so failed calls are caught rather than ignored. It is tested against your real system, and the test report records how failures behave.
A good fit if
The system you need is in-house, niche or industry-specific, and no ready connector exists.
The system has written API documentation, or your developers can provide it.
You want the product to react when something happens elsewhere, such as an order status change or a form submission.
Someone on your side can issue credentials and answer questions about the API.
Not the right fit if
The system is a mainstream CRM such as HubSpot or Salesforce. The Additional CRM Integration covers it for less.
You want your product's events available in Zapier or Make for your team to wire up. Zapier or Make Connector does that.
You want a new AI feature built inside your own app. AI Feature Integration designs and ships it.
The API is undocumented and nobody can explain it. Note it at checkout for a Change Quote, or start with a custom build.
How it works
- We read the API documentation. Endpoints, authentication, rate limits and error codes are checked before anything is promised.
- The integration is defined. We agree the exact calls or webhook events, and what the product does with each.
- Credentials are set up. You issue an API key, token or webhook secret for the integration.
- The connection is built and errors are handled, so a failed call is retried or reported rather than lost.
- It is tested with the parent product against a test or live environment, and the results go to you.
- One revision round, then updated documentation, a handoff note and a short written walkthrough.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- The order reference of the product being connected
- The API documentation, or a developer who can supply it
- Credentials for a test environment if you have one, and for live use
- The calls or events you need, described in plain words
- Credentials shared securely in the way we agree at intake, never by email
- One technical contact and one person who approves
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
API documentation received and reviewed
Week 1
Calls, events and data handling agreed
Week 2
Integration built with error handling
Week 2
Tests with the parent product against your API
Week 2
Your review and one revision round
Go-live
Integration live, documentation updated
| Option | Delivery time | Price |
|---|---|---|
| Standard | 10–20 working days | $2,500 |
What you receive at handover
- Your existing product connected to one documented API or webhook source
- Updated documentation describing the data exchanged and the error handling
- A test report from tests run against your real system
- A handoff note and a short written walkthrough
Expected benefits and how to measure them
- Can remove repeated copy-and-paste work between the product and another system
- Helps keep records consistent across both systems
- Makes connection failures visible instead of hidden
- Manual transfers
- Have staff log each record they move by hand for a week before launch, then repeat for a week after.
- Integration error count
- Check the product's error log weekly after launch and track whether failures fall as edge cases are fixed.
- Data mismatches
- Sample a set of records in both systems before and after launch and count differences in the agreed fields.
Before you start: Write down which data your team currently moves between the two systems and roughly how long it takes each week.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
Any fees the third-party API charges are billed to your own account with that provider, and in-house systems carry no extra cost from us. AI model usage stays in your accounts. The integration has a one-time price and no per-call fee.
Ask about running costsCustom requirements
A second API, several systems chained together, or an API with no documentation is beyond this add-on. Add a note at checkout and you get a written Change Quote. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
The integration is covered by the parent product's maintenance, which grows in line with the add-on's price. If the API changes version or adds fields, fixes come out of its monthly change hours.
Adds $125/mo to maintenance
Covered by the main product's maintenance, which grows by this amount.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | An integration platform bills monthly by tasks or calls | An agency quotes hours for API work | Ours is one fixed price, shown before you buy |
| Scope | You build and maintain each step | Agreed during the project | Ours agrees the calls and events before building |
| Errors | You set up retries and alerts | Depends on the brief | Ours includes error handling for the agreed calls |
| Testing | Left to you | Set per project | Ours is tested with the parent product |
Questions about this product
What counts as one API for this add-on?
One system with one documented API, such as your booking engine, an industry platform or an internal database service. Within that API, we connect the calls or webhook events agreed during intake. A second system, even from the same vendor, is a separate add-on or a Change Quote.
Can it connect to our in-house system?
Yes, if the system has a documented API or webhook that can be reached securely. Your developers provide the documentation and credentials. If the system is only reachable inside your network, say so at intake, because access arrangements need agreeing before the build starts.
Why does a custom API connection take more work than a standard one?
Because nothing is pre-built. We read your documentation, agree each call, build error handling and test against your system, often with a sandbox your developers provide. Standard connectors reuse work already done for tools such as HubSpot or Zendesk. The fixed price for each delivery speed is shown before you pay, so the extra effort never becomes an open-ended bill.
What if the API documentation is wrong or incomplete?
We check the documentation against the API first. Small gaps are worked out with your technical contact during the build. If the API behaves very differently from what was described, we tell you straight away and quote any extra work before doing it.
Can the product receive webhooks as well as call the API?
Yes. The integration can send requests to the API, receive webhook events from it, or both, depending on what was agreed. A typical case is a webhook telling the product that an order shipped, so it can answer a customer accurately.
Who fixes it if the API changes after launch?
During the first 14 days after delivery, problems against the Scope Card are fixed as part of the price. After that, changes caused by a new API version are handled under the parent product's maintenance, using its monthly change hours.
Connect the system no ready-made connector knows about.
Add the Custom API or Webhook Integration and your product talks to one documented API, with agreed calls, error handling and tests on your system.
Works well with
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