Voice Agent MOT API Integration

@diektech

Hi — Elias here from Miami. I see you're looking to integrate a voice agent with Go High Level and manage your automations through Make.com. This integration can enhance your workflow significantly. The real technical challenge often lies in ensuring seamless communication between the voice agent and the APIs involved. A common issue in these systems is managing state effectively, especially with data processing and automation logic. It looks straightforward initially, but the intricacies of permissions and reliable data flow can complicate matters. My approach would involve structuring the integration to prioritize stability and maintainability. I would optimize API calls for performance and handle data transformations efficiently, allowing for easy future expansion. I've worked on similar integrations where I focused on API reliability and user experience. This experience helps me foresee potential pitfalls and address them early. A few questions to better understand the scope: Q1 – What specific functionalities do you envision for the voice agent in your setup? Q2 – Are there particular data sources or third-party services that must be integrated? Q3 – What are your expectations regarding scaling this system in the future? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@ShaikhAneesa

Hello, I have analyzed the requirements for the Voice Agent MOT API Integration project and understand the need for a seamless integration of the UK Government’s MOT History REST API with your voice agent in Go High Level. Let's chat and discuss it further. To handle your project, I will start with integrating the voice agent with a secure webhook to pass the caller's number plate. Then, I will develop a script to call the government REST endpoint, manage authentication, query parameters, and rate limits, and parse the JSON response. The key details such as MOT expiry date, pass/fail status, and advisories will be converted into natural-language form for immediate caller feedback and stored in the contact record in Go High Level. The deliverables include accurate MOT information retrieval within five seconds on live calls and automatic data update in the contact record. Before signing-off my bid, I would like to ask a question, i.e., have you considered any specific security protocols for handling sensitive data during the integration process? Best Regards, Aneesa.

@lkhelladi

Hello, I'd be pleased to develop the MOT API integration for your flow. Looking forward to chatting soon and discussing details. Best regards. Lyes.

@kamran2012

This looks like a great fit, I will build the Make scenario that receives the plate from your GHL voice agent via webhook, hits the MOT History API with your credentials, and returns a natural-language summary — expiry date, pass/fail, advisories — back to the caller within that five-second window. One thing I will handle carefully: the API enforces a 0.5s per-request rate limit, so I will add a retry-with-backoff step in Make to prevent dropped lookups during peak call volume. Questions: 1) Is your voice agent passing the plate via a GHL custom webhook or a sub-account workflow action? 2) Which GHL contact fields should I map the MOT data into — custom fields you have already created, or should I set those up too? Looking forward to potentially working together. Thanks, Kamran

@huzaifa306

Hi, I have more than 3 years of experience building automation systems, API integrations, and workflows using GoHighLevel and Make.com. I can build a reliable solution that connects your systems, retrieves data in real time, and automatically updates records while keeping the workflow fast, scalable, and easy to maintain. I am available to start right away.

@TSCreators

As an expert in backend development and API integrations, I am confident that I can effectively bridge the gap between your voice agent in Go High Level and the UK Government's MOT History REST API. With extensive experience in working with token-based authentication REST services, I possess the necessary skillset to call the government's REST endpoint, handle all the relevant security measures, extract and parse the JSON data. Moreover, my proficiency in Make .com (HTTP module or custom app) ensures that I am well-equipped to orchestrate the entire process seamlessly. Being well-versed with Go High Level webhooks and skilled in handling complex automations, I can guarantee a clean and reliable integration for you. Beyond simply integrating these systems, what sets me apart is my focus on performance, reliability, and clean architecture of developed solutions that are not only production-ready but also easy to maintain. This is especially crucial for an automation-oriented project like yours where speed and accuracy are essential. Providing natural language form outputs within five seconds will not only be my task but also a test of my abilities which I'm willing to exceed. . Let's get started on transforming your vision into a reality within the designated timeline.

@techsty2014

Hi, We will build the full MOT lookup flow: webhook trigger from your voice agent, HTTP call to the UK MOT History API with auth headers and rate limit handling, JSON parsing, and natural language response back to the caller. For speed, we will structure the Make scenario so the API call and GHL contact update run in parallel. That keeps the round trip well under five seconds. A couple of quick things to confirm: 1) Is the voice agent using a GHL custom function or a Vapi/Bland relay? 2) Which GHL contact fields should store the MOT data? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Looking forward to talking through the details. Faizan

@xuezhe315

Hello, With my extensive experience in data processing and API integrations, I am the ideal candidate to seamlessly bridge your voice agent with the UK Government's MOT History REST API. I have a strong command over Make .com and have successfully executed numerous complex integrations involving token-based authentication, just like what you require. Coming from a background of enhancing user experiences, I deeply understand the cruciality of delivering accurate information in real-time. Drawing on my robust skills in web development, I'll ensure your callers receive precise, up-to-date MOT information within seconds. Additionally, I will incorporate mechanisms to store the raw response or selected fields into the relevant contact records within Go High Level for future automations. By hiring me not only you will be getting a seasoned software engineer but also a strategic thinker who can turn complex visions into flawless reality. Let me outline a detailed approach and timeline for you and get started on supercharging your voice agent with UK Government's MOT History REST API! Best Regards.

@XRProConnect

Hi, Aashiq (Ash) here from Cape Town, South Africa. This project instantly caught my eye, so I had to reach out. I see you looking for a clean, reliable bridge to the UK Government’s MOT History REST API. I specialize in high-level API integrations and have a proven track record of seamlessly connecting systems and automating processes for efficient results. Feel free to request samples of successful projects I have completed. Based on what you mentioned, here is how we would approach the project: - Utilize Make .com webhook to securely pass caller's plate to the government REST endpoint - Handle authentication, query parameters, and rate limits for seamless data retrieval - Parse JSON response and relay key MOT details back to the caller instantly - Automatically store relevant data in Go High Level for future use Rest assured, I guarantee clear communication and a user-focused solution optimized for performance. Best Regards, Aashiq

@vladang

Sounds like you already have the voice layer and Make handling most flows, but the missing piece is a clean bridge into the MOT API that responds fast enough for live conversation. I'd start by exposing a single webhook endpoint in Make triggered by GHL when the caller speaks the plate. That payload goes straight into an HTTP module calling the MOT History API with your token header, with a retry + timeout window to keep it responsive. Once JSON comes back, I'd normalize only the fields you care about (expiry, result, advisories) and convert that into a short spoken response string. Parallel branch writes raw + parsed fields back to GHL contact via API. To keep sub-5s, I'd add in-memory/Make data store cache keyed by plate for same-day lookups. Handled similar webhook-to-CRM flows in Bubbl (Vue/Nuxt + Express), where latency mattered for live UX. One thing to confirm: does your GHL voice agent expect plain text response or structured JSON back from webhook?

@TechWagger2026

As a seasoned Web and Mobile App Developer with over 14 years of experience, I am confident that I have the expertise needed to tackle your Voice Agent MOT API Integration project. I have a profound understanding of API integration and automation, two of the core requirements for this project. In terms of technical skills necessary for this job, I am well-versed working with REST APIs, managing token-based authentication, and handling large volumes of data like you would expect from UK government APIs. My familiarity with Go High Level will expedite the integration process, ensuring that call response time remains under five seconds. Furthermore, my ability to incorporate natural-language form outputs into such integrations will guarantee instant readability for call results. Lastly, what sets me apart is my commitment to client satisfaction. I understand the importance of accuracy and efficiency when dealing with sensitive data like MOT history. Therefore, once your caller provides their number plate on a live call, rest assured that they will receive accurate and up-to-date information back almost instantly while also being stored for future use. Allow me to leverage my skills and experience to deliver optimal results for your project!

@hoangvanp

Hi, I can create a seamless integration between your voice agent in Go High Level and the UK Government's MOT History REST API. When a caller provides their number plate, the voice agent will transmit the information to a secure webhook, initiating a call to the government API. The script will handle authentication, query parameters, rate limits, and JSON response parsing, delivering MOT details like expiry date, pass/fail status, and advisories in natural language to the caller in real-time. Simultaneously, the data will be stored in the contact record in Go High Level for future automation. I have experience with Go High Level webhooks, Make .com HTTP modules, and REST integrations with token-based authentication. For this project, I will focus on efficient data retrieval, seamless integration, and real-time response delivery, ensuring accurate and up-to-date MOT information within five seconds of the call. Let's discuss the details via chat. Regards,

@yuan38

? Hi, Let's turn great ideas into products people love using and businesses love growing with. I understand the need for a seamless integration between your voice agent, Make .com, and the UK Government's MOT History REST API. My 7+ years of experience as a Senior Full-Stack & AI Automation Engineer equip me to handle this project effectively. I have successfully completed similar projects, ensuring high-quality standards within deadlines. My proposed solution involves passing the number plate to Make .com via a secure webhook, handling authentication, querying the government REST endpoint, and parsing JSON responses. The extracted MOT details will be relayed back in natural language to the caller and stored in the contact record in Go High Level for automation. To ensure a swift and accurate response, I will leverage my expertise in Go High Level webhooks, Make .com, and REST integrations with token-based auth. I am ready to start immediately and offer flexible communication throughout the project. Let's discuss your project further via chat. Cheers, Yuan