Powerful Auto Generated APIs

Turn Your Database into Working APIs Instantly

API Maker can instantly generate production-ready REST endpoints directly from your database. With full CRUD (Create, Read, Update, Delete) operations, advanced querying, pagination, joins, streaming, and analytics helpers, your APIs are ready to use from day one. By scanning your database schema or model, API Maker delivers consistent, well-structured endpoints for every table or collection. This allows your team to focus on building features and delivering value, rather than spending time on repetitive backend setup.

Below APIs are list of APIs are generated for 1 table | collection.

• Get all
• Get all by stream
• Get by id
• Save single/multiple
• Master save/update single/multiple
• Array operations
• Update by id
• Update many
• Replace by id
• Remove by id
• Query for get data
• Query for get data by stream
• Remove by query
• Aggregate
• Count
• Distinct
• Distinct with query

Using Auto-Generated APIs

Auto-Generated APIs: What You Get and Why It Matters

When API Maker scans your database, it instantly creates REST endpoints for every table or collection, complete with CRUD, filtering, pagination, sorting, joins, streaming, and analytics. In minutes, you have everything a backend team would normally spend weeks building.

These APIs aren’t just fast to generate, they’re designed to be immediately useful:

• Prototype faster – validate ideas without writing backend code
• Build internal tools – dashboards, reports, and admin panels ready to go
• Ship production apps quicker – secure, predictable, and consistent endpoints

By removing repetitive backend work, auto-generated APIs free your team to focus on features, not plumbing. The result: fewer bugs, faster delivery, and a smoother developer experience.

Schema-less vs Schema-based Auto-Generated APIs

API Maker supports two modes of auto-generated APIs:

• Schema-less APIs: Fast and flexible. Endpoints are created directly from your database without predefined rules. Great for prototyping, quick integrations, and use cases where your data model changes often.

• Schema-based APIs: Structured and validated. Endpoints are generated using a defined schema, which enforces strict rules, validations, and access controls. Ideal for production apps where consistency, security, and stability matter.

You can think of it like this: Schema-less is about speed and flexibility, while Schema-based is about reliability and control. You can start schema-less and later switch to schema-based as your app matures.

Auto-generated API Endpoints

Here's a clear breakdown of the standard endpoints created by API Maker. Each has an explanation, real-world use cases, and beginner-friendly details.

Get All

Lists all records from a table or collection. Supports filters, sorting, pagination, and field selection. This is one of the most commonly used APIs because it powers any list, table, or dashboard in your app.

• Returns results in pages or as a full set.
• Lets you filter with find, sort, skip, limit, and select fields.
• Ideal for index pages, admin lists, or exporting data.
• Helps reduce payload by returning only needed fields.
• Useful for building search screens or data grids where users want control over how data appears.
• Schema-less Get All API | Schema-Based Get All API

Get All By Stream

Designed for very large datasets. Instead of loading everything at once, it streams results so you can process them bit by bit. This is especially helpful when you want to handle thousands or millions of rows.

• Great for exports, background jobs, or large reports.
• Saves memory by streaming instead of loading everything.
• Lets clients start receiving data immediately.
• Commonly used in data migration, analytics pipelines, or generating reports on demand.
• Schemaless Get All By Stream API | Schema-Based Get All By Stream API

Get By ID

Fetches a single record by its unique ID. This is one of the simplest but most essential endpoints, as most apps need to look up a record quickly.

• Returns one complete record.
• Supports select (choose fields) and deep (include related data).
• Great for product pages, user profiles, or single-view screens.
• Provides clear error messages if the record doesn't exist.
• Often used in detail views or when showing a single entity with all its related data.
• Schemaless Get By ID API | Schema-Based Get By ID API

Save Single / Save Multiple

Lets you create new records, one or many, in a single request. This saves time and reduces multiple round trips.

• Accepts single or bulk inserts.
• Handles IDs automatically if you don't provide one.
• Useful for onboarding flows, CSV imports, or batch operations.
• Works with Schema-API validation if enabled.
• Helps in scenarios like user registration (single) or uploading a dataset (multiple).
• Schemaless Save Single or Multiple API | Schema-Based Save Single or Multiple API

Master Save / Update

A more advanced save/update endpoint that handles complex and nested data. It's built for real-world data models where saving multiple related entities is common.

• Saves parent and child records together.
• Supports upserts (insert or update in one request).
• Works across multiple database types.
• Reduces client-side logic by letting the server handle dependencies.
• Ideal for forms that update related data in one go, like orders with order items.
• Schemaless Master Save / Update API | Schema-Based Master Save / Update API

Array Operations (MongoDB)

Special endpoints for modifying array fields inside MongoDB documents. Instead of rewriting the entire array, you can directly push, pull, or update items.

• Add or remove items in arrays without fetching the whole document.
• Useful for comments, tags, or embedded lists.
• Uses atomic operations to prevent conflicts.
• Saves bandwidth and improves performance by sending only the changes.
• Schemaless Array Operations API | Schema-Based Array Operations API

Update By ID

Updates specific fields in a record by ID. This is the "patch" style update.

• Updates only the fields you send.
• Leaves other fields unchanged.
• Works well for status changes or small patches.
• Common in UI actions like toggles, inline edits, or quick form saves.
• Schemaless Update By ID API | Schema-Based Update By ID API

Update Many

Updates multiple records at once using a query. This makes it easy to apply a single change across many items.

• Apply the same update to many records.
• Good for batch operations like marking many items as inactive.
• Reduces multiple requests into one.
• Useful for bulk editing tools or administrative cleanup tasks.
• Schemaless Update Many API | Schema-Based Update Many API

Replace By ID

Replaces the entire record with new data. Unlike patch updates, this overwrites the full document.

• Overwrites the record completely.
• Good for forms where the full record is submitted.
• Ensures the record always matches the provided data.
• Best when you want a strict replacement to maintain consistency.
• Schemaless Replace By ID API | Schema-Based Replace By ID API

Remove By ID

Deletes a single record using its ID. A precise and controlled delete operation.

• Deletes exactly one record.
• Useful for admin panels or user cleanup.
• Returns clear success or failure messages.
• Works well in workflows where deletion must be confirmed.
• Schemaless Remove By ID API | Schema-Based Remove By ID API

Remove By Query

Deletes multiple records that match certain conditions. A powerful but potentially risky endpoint if not handled carefully.

• Removes many rows in one call.
• Great for cleaning old or stale data.
• Should be used carefully, test first in staging.
• Often used in scheduled cleanup jobs or maintenance scripts.
• Schemaless Remove By Query API | Schema-Based Remove By Query API

Query For Get Data (Find / Find Join)

A flexible query endpoint for advanced searches and joins. This replaces custom SQL for many use cases.

• Supports powerful operators like $in, $gt, $regex.
• Can join related resources (populate/deep).
• Perfect for dashboards, reporting, or showing linked data.
• Simplifies client code by letting the backend handle joins.
• Schemaless Query For Get Data API | Schema-Based Query For Get Data API

Query For Get Data By Stream

The streaming version of the query API. Useful when you need both powerful queries and efficient handling of large result sets.

• Streams results for large, complex queries.
• Ideal for long exports and analytics pipelines.
• Uses the same query options as the regular query API.
• Often used when integrating with data lakes or analytics tools.
• Schemaless Query For Get Data By Stream API | Schema-Based Query For Get Data By Stream API

Aggregate (MongoDB)

Runs advanced MongoDB aggregation pipelines directly on the server. This is useful for analytical queries that go beyond simple filtering.

• Group, sort, project, and transform data server-side.
• Great for charts, analytics, and summaries.
• Reduces network payload by sending only final results.
• Can replace the need for an external reporting service in some cases.
• Schemaless Aggregate API | Schema-Based Aggregate API

Count

Returns how many records match a query. A lightweight but very useful endpoint.

• Helps with pagination and result counts.
• Lets UIs display "X results found" quickly.
• Works without fetching the actual records.
• Ideal for search result pages, dashboards, and analytics widgets.
• Schemaless Count API | Schema-Based Count API

Distinct

Returns unique values of a field. Commonly used for building filters or search suggestions.

• Build dropdowns or filters easily.
• Helps create facets or category lists.
• Runs efficiently on the server.
• Saves the client from having to compute uniqueness manually.
• Schemaless Distinct API | Schema-Based Distinct API

Distinct With Query

Similar to Distinct, but scoped to a specific filter. This makes filters context-aware.

• Returns unique values only for filtered data.
• Useful for dynamic, context-aware filters.
• Helps build smarter search panels.
• Often used in e-commerce apps where available filters depend on current search.
• Schemaless Distinct With Query API | Schema-Based Distinct With Query API

Key Capabilities & Strengths

• Rapid time to value – connect your DB and start calling endpoints in minutes.
• Consistent developer experience – the same query language and headers across resources.
• Built-in validation & security – Schema-APIs add strict validation, while access controls protect sensitive fields.
• Scales to production – streaming endpoints, server-side aggregation, and caching patterns support real traffic.
• Works across databases – supports common SQL and NoSQL databases, so you can standardize on one API surface for many backends.

Maximizing Workflow Efficiency with Strategic API Usage

Optimize Data Loading

• Listing pages: Count + Get All + Distinct - fast pagination, dynamic filters.
• Detail pages: Get By ID with deep loading - full record in one call, ~80% faster.

Bulk Operations

• Imports: Save Multiple - 100+ records in one request.
• Updates: Update Many - 500 changes in a single call instead of looping.

Admin Workflows

• Filtering: Start with Distinct, refine with Distinct With Query.
• Safety check: Count before Update Many or Remove By Query.

Large Datasets & Reporting

• Streaming: Use for 10k+ records or requests >10s - unlimited data.
• Analytics: Aggregate/Query - server-side totals (e.g., monthly sales).

Advanced Features

• Search: Query + Count + Distinct With Query - real-time filtering & counts.
• Master data: Master Save/Update - multi-entity operations (orders, inventory, invoices) in one call.

Auto-generated APIs remove boilerplate and give teams a consistent, production-ready backend interface for every database table or collection. Use them to prototype quickly, power admin tools, or run production workloads with less code and fewer surprises. With support for joins, validation, streaming, and analytics, they strike a balance between speed and scalability.

Whether you're a startup building fast or an enterprise looking for standardization, API Maker helps you move from database to usable APIs in minutes.

FAQs

Do I need to write server code to use these APIs?

No. Connect your database to API Maker and the endpoints are created automatically. Pick Generated-APIs for speed or Schema-APIs for stricter validation.

Can I fetch related data (joins/populate) without custom SQL?

Yes. Use the query endpoints with deep or the join/populate options to include related resources in a single call.

Are there stream endpoints for big data?

Yes. Streaming variants exist for listing and query APIs so you can export or pipe large datasets efficiently.

Is this secure for production?

Yes. You can apply access control (group/field level), schema validations, and authentication headers to protect endpoints before production use.

Can I switch a resource from Generated-API to Schema-API later?

Yes. Start flexible and formalize the contract with Schema-APIs when your data model and validations become stable.

Which databases are supported?

API Maker works with popular SQL (MySQL, PostgreSQL, SQL Server, TiDB, Percona XtraDB, MariaDB, Oracle DB) and NoSQL databases (MongoDB).

Can I extend the APIs with custom logic?

Yes. You can add hooks, validation rules, or create entirely custom endpoints alongside the auto-generated ones.

References

• API Maker Documentation
• Auto-Generated APIs Overview
• Deep Populate Guide
• Aggregation Examples (MongoDB)