Choosing a correcting API gateway can determine whether an automation goes live quickly or turns into a technical project that is difficult to maintain.
For companies using no-code or low-code tools, evaluating the number of features alone is not enough. Clear documentation, predictable endpoints, simple authentication, and reliable webhooks are also essential for building stable integrations.
A good integration needs to do more than send messages. It should receive events, track processing and delivery, handle failures, prevent duplicates, and connect messaging app to systems such as CRM, e-commerce platforms, and internal tools.
In this scenario, Z-API can work as an integration layer between messaging apps and platforms such as Make, n8n, and Zapier, as well as custom applications. Its documentation describes a RESTful API, webhooks, and a queue-based flow that returns a message identifier followed by later updates about processing, delivery, and read status.
But which option is best? It depends on the architecture, the technical level of the team, and the type of operation.
There is no ideal gateway for every company. The choice should consider the required features, ease of integration, reliability, and the level of control needed.
In this article, you will learn how to compare APIs gateway for no-code and low-code integrations and how to structure a visual integration with Z-API.
What is a API gateway for messaging?
A API gateway is an intermediary layer that allows a system to send and receive messages without having to directly implement all the complexity involved in connection, authentication, queues, status updates, media, and events.
In practice, the company has a source system, such as a CRM or online store. That system sends a request to the gateway, which forwards the message and returns a response.
Then, events such as message receipt, delivery, or read status can be sent back to the application through webhooks. The basic flow is:
| CRM, e-commerce, or automation ↓ Messaging API gateway ↓ Messaging App ↓ Response and status webhook ↓ CRM, e-commerce, or automation |
Depending on the solution, an API may offer features such as:
- sending text messages;
- sending images, documents, audio, and video;
- receiving messages;
- event webhooks;
- message identifiers;
- processing queues;
- tracking sending, delivery, and read status;
- authentication via token or key;
- endpoint documentation;
- integration with automation tools.
The gateway does not replace the company’s business logic. It provides the communication layer and the mechanisms needed to connect messaging app with other systems.
The automation is still responsible for deciding who should receive the message, when to send it, which content to use, and which business rules to apply.
How does an API gateway integration work?
Imagine an e-commerce company that needs to notify a customer that an order has shipped.
- The carrier updates the order status.
- The e-commerce platform generates an
order.shippedevent. - Make, n8n, Zapier, or the backend receives this event.
- The workflow retrieves the required data and builds the message.
- The automation sends an HTTP request to the gateway.
- The gateway places the message in a queue and returns an identifier.
- Messaging app processes the send.
- The gateway sends subsequent events through a webhook.
- The CRM records the outcome.
In the Z-API documentation, you can see this flow: sending goes through a queue, returns a message ID, and may generate later notifications related to processing, receipt, and read status.
This separation is important because a successful HTTP response does not necessarily mean the recipient received or read the message. It may only mean that the request was accepted for processing.
To track the final result, the application needs to consider the events and statuses provided by the gateway.
No-code vs. low-code: what is the difference?
The choice between no-code and low-code depends less on how the tool looks and more on the level of control the operation needs over its workflows.
What is no-code?
No-code is an approach in which most automation is built visually, without the need to write traditional code. Users combine triggers, actions, filters, and fields through an interface.
Make and Zapier are common examples of this model. A user can build a workflow that receives a new order, checks a condition, and sends a message through the gateway using an HTTP module.
No-code is often suitable when:
- the logic is relatively simple;
- the team needs to validate an idea quickly;
- the systems being used already have connectors;
- volume and complexity are controlled;
- maintenance will primarily be handled by an operations team.
What is low-code?
Low-code combines visual components with technical capabilities such as expressions, HTTP requests, scripts, functions, and data transformations.
n8n is often used in this model because it allows teams to configure webhooks, HTTP requests, conditions, transformations, and functions inside a visual workflow.
n8n documentation states that the Webhook node can start a workflow from an external event and provides separate URLs for testing and production.
Low-code is often suitable when:
- the workflow requires data transformation;
- there are more complex conditional rules;
- the company needs to integrate APIs without a ready-made connector;
- greater control over the logic is required;
- the technical team participates in implementation and maintenance.
Which approach should you choose?
The decision should not consider only how easy the first test is. Also evaluate how the integration will behave when failures occur, volume increases, duplicate events appear, messages are not delivered, or investigation is required.
| Approach | Main advantage | Point of attention |
|---|---|---|
| No-code | Fast and accessible implementation | May become limited for more complex logic |
| Low-code | More flexibility and control | Requires greater technical knowledge |
| Custom API | Maximum control over the architecture | Higher development and maintenance cost |
No-code can speed up the creation of an initial automation. Low-code provides more room to adapt the workflow to the operation. In both cases, a gateway with clear documentation, predictable endpoints, and reliable webhooks makes implementation and maintenance easier.
The best criterion is not choosing the simplest or most complete tool, but the one that provides the necessary level of control without adding unnecessary complexity.
Read also: how to build an elite automated customer service operation in 2026.
What should you evaluate in a API gateway for messaging?
Choosing a API gateway for a no-code or low-code operation requires looking beyond the number of features. Ease of integration, security, documentation, webhooks, maintenance, and diagnostic capabilities directly affect how quickly the automation can go live and how easily it can be kept running.
1. Ease of integration
The first test should be fast and easy to understand. Documentation should clearly explain the endpoint, HTTP method, headers, request body, expected response, and main errors.
A visual integration should not require trial and error just to discover which parameters to use.
Ready-made examples in cURL, JavaScript, Python, or Postman help reduce implementation time.
Check:
- whether endpoints follow consistent patterns;
- whether request bodies use JSON predictably;
- whether required fields are clearly identified;
- whether ready-made test examples are available;
- whether errors return useful information;
- whether the integration can be validated without building a complete backend.
2. Authentication
Authentication needs to be easy to configure and secure to operate.
In no-code and low-code tools, calls usually rely on headers containing tokens, API keys, or HTTP credentials.
Evaluate:
- where the credential is sent;
- whether the automation platform can store it as a secret;
- whether there are separate environments or credentials for testing and production;
- whether the credential can be revoked or replaced;
- whether its use can be restricted by instance or channel;
- whether the provider recommends HTTPS for requests.
Never place tokens directly in exposed URLs, public fields, campaign names, or messages. Use the automation tool’s credential manager whenever available.
3. Documentation
Good documentation should not describe only the success scenario. It should explain authentication, parameters, responses, errors, webhooks, limits, examples, and relevant changes.
Z-API documentation presents the solution as a RESTful service and describes the use of queues and webhooks for tracking events.
For a no-code or low-code team, also look for:
- payload examples;
- webhook examples;
- testing instructions;
- retry guidance;
- error codes and messages;
- change history;
- SDKs or Postman collections when available;
- specific documentation for media and interactive messages.
The more complete the documentation is, the less likely the team is to depend on technical support for routine tasks.
4. Webhooks
Webhooks are essential for event-driven integrations.
Instead of repeatedly querying the API to find out whether a message was processed, delivered, or read, the application can receive a notification when the event happens.
The gateway should allow URLs to be configured for the required events and provide enough information to identify the message, contact, event type, and time it occurred.
In practice, evaluate whether you can:
- receive incoming messages;
- receive status updates;
- distinguish events such as delivery and read status when available;
- identify failures and their causes;
- validate the origin of requests;
- safely reprocess events;
- prevent duplicate events from triggering duplicate actions.
5. Compatibility with Make, n8n, and Zapier
An integration does not necessarily require a native app.
If the platform supports HTTP requests and webhook reception, many workflows can already be built without a dedicated connector. A ready-made connector, however, may reduce the initial setup effort.
Check whether the selected tool can:
- send HTTP requests with JSON;
- configure authentication headers;
- receive webhooks;
- interpret API responses;
- store the message ID;
- apply filters and routing;
- handle HTTP status codes;
- record execution logs.
6. Maintenance
The cost of an integration does not end after the first message is sent. APIs, policies, payload formats, and features can change, so maintenance needs to be predictable. Ask:
- Are endpoints versioned?
- Does the provider communicate important changes?
- Is the documentation updated along with those changes?
- Is there a change history or changelog?
- Are webhook compatibility rules documented?
- Is technical support available?
- Can changes be tested without affecting production?
- Can the team identify the source of a failure without relying entirely on the provider?
An API that is easy to integrate but difficult to monitor or update can create more work over time.
Practical comparison of criteria
| Criterion | What to look for | Why it matters |
|---|---|---|
| Integration | REST, JSON, and clear examples | Reduces deployment time |
| Authentication | Token or API key in headers | Simplifies setup and protects credentials |
| Webhooks | Message and status events | Enables event-driven automation |
| Documentation | Endpoints, payloads, responses, and errors | Increases technical autonomy |
| No-code | HTTP, webhooks, and credentials | Makes visual development easier |
| Low-code | Transformations, conditions, and scripts | Supports more complex rules |
| Maintenance | Versioning and change history | Reduces the risk of breaking changes |
| Observability | IDs, logs, and statuses | Makes troubleshooting easier |
| Security | HTTPS, secrets, and access control | Protects the operation |
| Scalability | Queues, limits, and monitoring | Helps avoid production bottlenecks |
The best gateway is not necessarily the one with the most features.
It is the one that matches the complexity of the operation, integrates the required systems, and keeps automation predictable as volume grows.
You may also want to explore how to use webhooks to build real-time automations with Z-API.
How to integrate Z-API with Make
Make uses scenarios built from modules. Webhooks can start these scenarios when they receive data over HTTPS, allowing events from other systems to be turned into automated actions.
Outbound flow: sending a message
A simple scenario might follow this structure:
| CRM webhook or event ↓ Filter: order approved? ↓ Retrieve phone number and name ↓ HTTP > Make a request ↓ Z-API ↓ Store messageId in CRM |
In the HTTP module, configure:
POSTmethod;- sending endpoint URL;
- authentication header;
Content-Type: application/json;- request body with recipient and message;
- response handling.
Whenever possible, store the messageId returned by the API. This identifier makes it easier to associate the send request with later processing, delivery, or read events.
Inbound flow: receiving a message
To receive messages, create a Custom Webhook in Make and configure the corresponding URL in the gateway.
Then use filters and modules to route the event to the CRM, database, spreadsheet, customer service system, or another destination.
The webhook should be treated as an event intake point, not simply as the first module in the scenario.
The application needs to consider what happens when a later step fails and how the event will be reprocessed.
Make documentation also distinguishes between instant webhook processing and queue usage.
For this reason, evaluate how the scenario behaves when event order matters.
Controlling parallel processing
Instant webhooks can be processed in parallel.
This increases speed, but it can create inconsistencies when event order matters.
Imagine, for example, that an order update needs to be processed before a delivery confirmation.
In this case, the workflow should consider ordered processing and idempotency in the destination system.
The goal is to prevent concurrent events from creating incorrect states, duplicate messages, or out-of-sequence actions.
How to integrate Z-API with n8n
In n8n, the flow can begin with the Webhook node. The tool provides separate testing and production URLs, allowing the workflow to be validated before going live.
An outbound workflow can look like this:
| E-commerce webhook ↓ IF: status = shipped ↓ Set / Code: build payload ↓ HTTP Request: call Z-API ↓ Data Store or CRM: save messageId |
An inbound workflow can look like:
| n8n Webhook ↓ Switch: event type ↓ Classify intent ↓ Query CRM ↓ Respond or route |
Authenticate the webhook
n8n allows authentication mechanisms to be configured in the Webhook node, including Basic Auth, Header Auth, and JWT, as well as access-control options based on IP.
When the webhook receives customer, order, or message information, use an authentication layer appropriate to the scenario. Also validate incoming data before triggering actions elsewhere in the workflow.
Respond quickly
If the gateway or source system expects an HTTP acknowledgment, configure the webhook to respond quickly and leave more time-consuming tasks for a later stage of the workflow.
Slow workflows may cause timeouts and retries, increasing the risk of duplicate processing.
Use the production URL only after testing
First, use the test URL to validate payloads, authentication, rules, and error handling.
Then publish the workflow and configure the gateway with the production URL.
This separation reduces the risk of tests sending messages to real customers.
How to integrate Z-API with Zapier
Zapier offers Webhooks by Zapier, which can capture requests and perform HTTP calls.
Available options include triggers such as Catch Hook and Catch Raw Hook, as well as actions for custom requests.
A Zap can follow this structure:
| Trigger: new order in app ↓ Filter: business condition ↓ Webhooks by Zapier: Custom Request ↓ Z-API ↓ CRM or spreadsheet |
To receive messaging events, use Catch Hook or Catch Raw Hook depending on whether you need access to the request body and headers.
Then map the received fields to the CRM, help desk, Slack, email, or another application.
Zapier is particularly useful for relatively straightforward workflows and teams that value speed and a large catalog of ready-made integrations.
For operations with many branches, high volume, or a need for greater control over queues and execution, carefully evaluate the limits and capabilities of the selected platform.
Which platform should you choose?
The choice depends less on which tool is “best” in absolute terms and more on how much control, flexibility, and simplicity the operation needs.
Make
Make is a good option for teams that need a visual interface with multiple routes, filters, transformations, and integrations.
Its webhooks can automatically start scenarios, while queueing and ordered-processing features help support different execution requirements.
It is suitable for marketing automation, sales, customer service, and system synchronization.
Before scaling, evaluate consumption, parallelism, webhook limits, error handling, and behavior during high-volume periods.
n8n
n8n is a good fit for teams that need more technical flexibility.
The Webhook node offers features such as HTTP methods, authentication, test and production URLs, and response configuration.
The platform works well for integrations that require data transformation, custom logic, database connections, and AI workflows.
When n8n is self-hosted, the company also becomes responsible for infrastructure, security, updates, availability, and monitoring.
Zapier
Zapier stands out for ease of use and its large catalog of applications.
Webhooks by Zapier makes it possible to capture and send HTTP requests without requiring a dedicated gateway connector.
It is a good option for simpler workflows and teams that want to validate an automation quickly.
Before scaling, evaluate task volume, limits, log retention, cost, and processing requirements.
Messaging gateway
The automation platform does not replace the gateway.
Make, n8n, and Zapier orchestrate the process; the gateway provides the communication layer with messaging app.
That is why the architecture should be evaluated as a whole:
Gateway + automation platform + source systems + observability
A well-designed visual workflow cannot compensate for a communication layer that is difficult to integrate, monitor, or troubleshoot.
Why integrate with Z-API?
Z-API can be an option for companies that need to connect messaging app to custom systems or automation platforms through REST APIs and webhooks.
Its documentation highlights features such as:
- RESTful service;
- API for communication operations;
- webhooks for interactions and status;
- processing queue;
- message identifier;
- events related to processing, receipt, and read status.
This model can support use cases such as:
- order confirmations;
- payment notifications;
- appointment reminders;
- lead capture and qualification;
- cart recovery;
- customer service triage;
- CRM integration;
- n8n, Make, and Zapier automation;
- AI agents connected to messaging app.
The operation remains responsible for complying with applicable policies and using the solution according to its documentation and integration model.
Z-API documentation states that the solution uses a web session.
For this reason, companies should evaluate this integration model according to their technical, operational, and compliance requirements.
You may also want to learn more about how to build an AI agent with a practical guide to getting started in 2026.
Comparison checklist
Before choosing a API gateway for messaging, answer:
- Does the documentation include a working sending example?
- Is authentication compatible with HTTP requests?
- Can the webhook receive the required messages and status events?
- Is there a safe way to separate testing from production?
- Does the system return a message identifier?
- Can acceptance, delivery, read status, and failure be distinguished when those events are available?
- Is the payload predictable and well documented?
- Can the team protect credentials?
- Does the provider communicate important changes?
- Is technical support available?
- Can Make, n8n, or Zapier call the required endpoints?
- Does the workflow support idempotency and controlled retries?
- Are operational limits documented?
- Is usage aligned with applicable policies?
- Is there a plan for pausing, recovery, and failure handling?
A no-code or low-code integration may be the right solution for your automation
The best API gateway for a no-code or low-code integration is the one that combines ease of implementation with operational predictability.
Sending the first message is not enough.
The solution needs clear documentation, appropriate authentication, webhooks, message identification, error handling, and mechanisms for tracking processing.
Make, n8n, and Zapier can handle the automation layer, but each platform has different characteristics.
Make provides a visual experience with multiple routes and scenarios.
n8n offers greater flexibility for logic and technical integrations.
Zapier simplifies direct workflows and provides a broad application catalog.
Z-API acts as the messaging connection layer.
Its RESTful API, webhooks, and queue-based flow make it possible to structure integrations for orders, sales, support, notifications, and AI-powered automation.
Start with a small use case. Configure authentication, send a test message, store the ID, receive the available events, and validate the full workflow.
Then add filters, CRM integration, retries, monitoring, and customer service rules.
Try an integration with Z-API and connect messaging to Make, n8n, Zapier, or your own system.
Specialist in SEO and Copywriting há mais de oito anos, focado em estratégias de posicionamento orgânico (SEO, GEO e AEO) e entrega de conteúdo relevante para os leitores. No Z-API, atuo na criação de conteúdo estratégico para impulsionar a performance digital da marca e ofertar artigos com conhecimentos úteis para os usuários.