SDK Library Development for SaaS Integration

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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SDK Library Development for SaaS Integration
Complex
~2-4 weeks
Frequently Asked Questions

Our competencies:

Development stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1358
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1250
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    956
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1188
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    929
  • image_bitrix-bitrix-24-1c_fixper_448_0.webp
    Website development for FIXPER company
    947

SDK Library Development for SaaS Integration

Imagine you launch a SaaS product and your first clients complain that integrating with your API takes weeks. They manually send HTTP requests, handle errors, and write their own pagination. The entry barrier is too high. We solve this by developing a client SDK — a ready-to-use library that reduces integration time to hours. Our experience: 7+ years building SDKs for B2B SaaS, 50+ successful projects. While in-house development can cost $10,000–$20,000 in developer time alone, our turnkey SDK starts at $1,500, saving you up to $18,500.

How an SDK Speeds Up Integration

An SDK encapsulates typical tasks: authorization, retries with exponential backoff, pagination, webhook verification. The developer just installs the package and calls methods. Instead of 500 lines of code — 5 lines. This cuts time-to-market (TTM) by 80%.

Why Order SDK from Professionals?

In-house SDK development requires time and expertise: proper retry logic, avoiding race conditions, maintaining backward compatibility. We’ve done it dozens of times. We use proven patterns: Repository, BFF, typed responses. We guarantee stability and full documentation. Below is a quality comparison table.

Parameter Our SDK In-House Development
Typing Full (TypeScript) Fragmented
Retries Exponential backoff with jitter Basic or none
Pagination Cursor-based auto-paging Often offset/limit
Webhooks HMAC verification via timingSafeEqual Often missing
Documentation README with examples and tests Minimal

What’s Included in SDK Work (Deliverables)

  • API and OpenAPI analysis — define resources and public interface.
  • Typed HTTP client in TypeScript with retries and timeouts.
  • Pagination (cursor-based), webhook verification, and error handling.
  • Tests (vitest/jest) with 80% coverage of the public API.
  • Build (tsup) and publication to npm with ESM and CJS support.
  • Documentation: README with examples, CHANGELOG, migration guide.
  • Team consultation (up to 2 hours) and 1-month bug fix guarantee.

SDK Project Structure

my-api-sdk/
  src/
    client.ts          # Main HTTP client
    resources/
      users.ts         # Resource: users
      projects.ts      # Resource: projects
      webhooks.ts      # Webhook verification
    types/
      index.ts         # All public types
      responses.ts     # API response types
    errors.ts          # Custom errors
    retry.ts           # Retry logic
    pagination.ts      # Pager for lists
  tests/
    client.test.ts
  dist/                # Compiled JS + types
  package.json
  tsconfig.json
  README.md

HTTP Client

// src/client.ts
export interface MyApiConfig {
  apiKey: string;
  baseUrl?: string;
  timeout?: number;
  maxRetries?: number;
}

export class MyApiError extends Error {
  constructor(
    message: string,
    public readonly statusCode: number,
    public readonly code: string,
    public readonly requestId: string
  ) {
    super(message);
    this.name = 'MyApiError';
  }
}

export class MyApiClient {
  private readonly baseUrl: string;
  private readonly apiKey: string;
  private readonly timeout: number;
  private readonly maxRetries: number;

  // Resources
  public readonly users: UsersResource;
  public readonly projects: ProjectsResource;
  public readonly webhooks: WebhooksResource;

  constructor(config: MyApiConfig) {
    this.baseUrl = config.baseUrl ?? 'https://api.myproduct.com/v1';
    this.apiKey = config.apiKey;
    this.timeout = config.timeout ?? 30_000;
    this.maxRetries = config.maxRetries ?? 3;

    this.users = new UsersResource(this);
    this.projects = new ProjectsResource(this);
    this.webhooks = new WebhooksResource(this);
  }

  async request<T>(
    method: string,
    path: string,
    options: RequestOptions = {}
  ): Promise<T> {
    const url = `${this.baseUrl}${path}`;
    const headers: Record<string, string> = {
      'Authorization': `Bearer ${this.apiKey}`,
      'Content-Type': 'application/json',
      'User-Agent': `myapi-sdk-node/${SDK_VERSION}`,
      'X-SDK-Version': SDK_VERSION,
    };

    let lastError: Error | undefined;

    for (let attempt = 0; attempt <= this.maxRetries; attempt++) {
      if (attempt > 0) {
        // Exponential backoff: 1s, 2s, 4s
        await new Promise(resolve => setTimeout(resolve, 2 ** (attempt - 1) * 1000));
      }

      try {
        const controller = new AbortController();
        const timeoutId = setTimeout(() => controller.abort(), this.timeout);

        const response = await fetch(url, {
          method,
          headers,
          body: options.body ? JSON.stringify(options.body) : undefined,
          signal: controller.signal,
        });

        clearTimeout(timeoutId);

        const requestId = response.headers.get('x-request-id') ?? 'unknown';

        if (!response.ok) {
          const error = await response.json().catch(() => ({}));

          // Don't retry client errors
          if (response.status < 500) {
            throw new MyApiError(
              error.message ?? 'API Error',
              response.status,
              error.code ?? 'UNKNOWN',
              requestId
            );
          }

          lastError = new MyApiError(
            error.message ?? 'Server Error',
            response.status,
            error.code ?? 'SERVER_ERROR',
            requestId
          );
          continue;
        }

        if (response.status === 204) return undefined as T;
        return response.json();
      } catch (error) {
        if (error instanceof MyApiError) throw error;
        lastError = error as Error;
      }
    }

    throw lastError;
  }
}

Resource with Pagination

// src/resources/projects.ts
export interface Project {
  id: string;
  name: string;
  status: 'active' | 'archived';
  createdAt: string;
}

export interface ListProjectsParams {
  limit?: number;
  cursor?: string;
  status?: 'active' | 'archived';
}

export interface PaginatedResponse<T> {
  data: T[];
  nextCursor?: string;
  hasMore: boolean;
  total: number;
}

export class ProjectsResource {
  constructor(private client: MyApiClient) {}

  async list(params: ListProjectsParams = {}): Promise<PaginatedResponse<Project>> {
    const query = new URLSearchParams();
    if (params.limit) query.set('limit', params.limit.toString());
    if (params.cursor) query.set('cursor', params.cursor);
    if (params.status) query.set('status', params.status);

    return this.client.request('GET', `/projects?${query}`);
  }

  // Auto-paging iterator
  async *listAll(params: Omit<ListProjectsParams, 'cursor'> = {}): AsyncIterable<Project> {
    let cursor: string | undefined;

    do {
      const page = await this.list({ ...params, cursor, limit: params.limit ?? 100 });
      yield* page.data;
      cursor = page.nextCursor;
    } while (cursor);
  }

  async create(data: { name: string; description?: string }): Promise<Project> {
    return this.client.request('POST', '/projects', { body: data });
  }

  async get(id: string): Promise<Project> {
    return this.client.request('GET', `/projects/${id}`);
  }

  async update(id: string, data: Partial<Pick<Project, 'name' | 'status'>>): Promise<Project> {
    return this.client.request('PATCH', `/projects/${id}`, { body: data });
  }

  async delete(id: string): Promise<void> {
    return this.client.request('DELETE', `/projects/${id}`);
  }
}

Webhook Verification

// src/resources/webhooks.ts
import { createHmac, timingSafeEqual } from 'crypto';

export class WebhooksResource {
  constructor(private client: MyApiClient) {}

  verify(payload: string | Buffer, signature: string, secret: string): boolean {
    const expectedSignature = 'sha256=' + createHmac('sha256', secret)
      .update(payload)
      .digest('hex');

    const sigBuffer = Buffer.from(signature);
    const expectedBuffer = Buffer.from(expectedSignature);

    if (sigBuffer.length !== expectedBuffer.length) return false;
    return timingSafeEqual(sigBuffer, expectedBuffer);
  }

  constructEvent(
    payload: string,
    signature: string,
    secret: string
  ): WebhookEvent {
    if (!this.verify(payload, signature, secret)) {
      throw new Error('Invalid webhook signature');
    }
    return JSON.parse(payload);
  }
}
Common Pitfalls in DIY SDK Implementation
  • Incorrect rate limiting handling — clients get blocked on the API side.
  • Lack of retries with backoff — transient errors break integration.
  • Inconsistent pagination — not all endpoints support cursor.
  • Webhook vulnerability — signatures not verified, events can be spoofed.

Comparison: In-House vs Turnkey SDK

Feature In-House Turnkey SDK
Time (one developer) 2–4 weeks 3–5 days
Risk of errors (retries, race conditions) High Minimal (guaranteed)
Documentation and tests Partial Complete
Maintenance and updates Your resource Our support
Cost $10,000–$20,000 Starting at $1,500

How We Do It: Real Case

A client — a SaaS project management platform. Their REST API was used by 10 partners, each writing their own integration. We developed a TypeScript SDK in 4 days and published it to npm. Integration time for partners dropped from 3 days to 2 hours. Partners just installed the package and called methods. Retrospectively, clients praised the reduced TTM and fewer bugs. — Client CTO, project management platform

Our Process

  1. Analysis: study your API, OpenAPI spec, SDK requirements.
  2. Design: define resource structure, interfaces, public API.
  3. Implementation: write client, resources, pagination, webhooks, tests.
  4. Build and publish: set up tsup, prepare npm package.
  5. Delivery: source code, documentation, consultation.

Development of a TypeScript SDK with auto-retries, pagination, and npm publication takes 3–5 business days. Implementing an SDK simplifies integrations with your SaaS application many times faster than the DIY approach.

What’s Included in SDK Work

According to industry reports, 63% of developers say SDK quality is a key factor when choosing a platform. We keep that in mind with every implementation.

  • Analysis of your API and OpenAPI spec — define resources and public interface.
  • Development of a typed HTTP client in TypeScript with retries and timeouts.
  • Implementation of pagination (cursor-based), webhook verification, and error handling.
  • Tests (vitest/jest) with 80% coverage of the public API.
  • Build (tsup) and publish to npm with ESM and CJS support.
  • Documentation: README with examples, CHANGELOG, migration guide.
  • Consultation for the client’s team on integration (up to 2 hours).

Pricing for a basic TypeScript SDK for REST API starts from $1,500. SDKs with GraphQL, streaming, or OAuth 2.0 are priced accordingly. We provide an exact estimate within one business day after auditing your API.

Contact us — we’ll evaluate your project and propose the optimal solution. Order a turnkey SDK and accelerate your product’s integration.

API Development with REST, GraphQL, WebSocket, and tRPC

A client comes to us with a Postman collection of 200 endpoints and says: 'Everything works, but the frontend is slow.' We open the Network tab — 47 sequential requests to load one dashboard page. Each one waits for the previous. This is not a server speed issue — it's an API architecture problem. With 10 years on the market, we've redesigned dozens of such integrations, and we guarantee: the right protocol and contract solve the problem at its root.

When REST stops being enough

REST works well for simple CRUD operations. But as soon as a mobile app appears alongside the web interface, over-fetching begins: the mobile app requests /api/users/123 and gets a 4KB object, but only needs name and avatar. Multiply that by a list of 50 users — 200KB traffic instead of 8KB.

GraphQL solves this with selection sets. The client describes exactly the fields it needs, and the server returns only those. On a project with React Native + Next.js, we migrated from REST to Apollo Server: payload size on the main screen dropped from 340KB to 28KB — a 92% traffic savings. Our certified engineers confirm: the typical pain when adopting GraphQL is N+1 query. A resolver for the author field on a post calls SELECT * FROM users WHERE id = ? for each post in the list. On a page with 20 posts — 21 database queries. Solved with DataLoader — it batches queries and turns them into one SELECT * FROM users WHERE id IN (...).

What is tRPC and how is it better than REST/GraphQL?

If the entire stack is TypeScript (Next.js + Node/Bun), tRPC removes a whole layer of problems. You define a procedure on the server — the client gets full type-safety automatically, without code generation and without Swagger. Renamed a field in the Zod schema — TypeScript highlights all places on the frontend where it's used. tRPC reduces code by 2 times compared to REST + Swagger + openapi-typescript: no need to maintain a separate specification and generate types — everything is inferred from runtime validators. However, tRPC is not suitable if the API is consumed by third-party clients or mobile apps in other languages — in such cases we use GraphQL or REST with OpenAPI specification.

WebSocket and real-time: when SSE, when WS?

HTTP polling every 5 seconds is an illusion of real-time with up to 5 seconds delay and useless server load. For chats, live notifications, collaborative editing — WebSocket or Server-Sent Events. SSE is a one-way stream from server to client, works over ordinary HTTP, automatically reconnects. Suitable for notifications, data streaming, progress bars. WebSocket is bidirectional, needed for chats and collaborative features. Experience shows: 80% of 'real-time' tasks are solved with SSE, not WebSocket — fewer infrastructure complexities.

A typical mistake: opening a WebSocket connection for each page component. On one project, the dashboard opened 12 parallel WS connections. The correct approach is one connection manager at the application level, subscriptions through it. In our work results, we always transfer the connection scheme and a ready solution.

Protocol Typing Over-fetching Versioning Real-time
REST Weak (OpenAPI) Yes URL / Header Polling
GraphQL Strong (SDL) No Deprecation Subscriptions
tRPC Full (TypeScript) No TypeScript checks Subscriptions (optional)

Swagger / OpenAPI as a contract

Documentation written after the fact becomes outdated the day after release. We write the OpenAPI 3.1 specification before development starts; it becomes the contract between frontend and backend. The frontend generates types via openapi-typescript, the backend validates incoming data using generated schemas. Contract deviation from implementation is caught on CI, not during review. For Laravel — l5-swagger or dedoc/scramble. For Node.js — @fastify/swagger or Zod + zod-to-openapi.

How to properly authenticate an API?

JWT with long-lived access tokens without rotation is a source of problems when compromised. The correct scheme: access token for 15 minutes, refresh token for 30 days with rotation on each use. Refresh token stored in an httpOnly cookie, access token in memory (not in localStorage). For inter-service communication — API Keys with scope limitations or mTLS. OAuth 2.0 with PKCE for public clients (SPA, mobile).

How to handle versioning and backward compatibility?

Breaking changes in an API without versioning break clients. Three approaches we use in projects:

Method Example When to use
URL versioning /api/v2/ REST API with long-term legacy support
Header versioning Accept: application/vnd.api+json;version=2 Minimal URL changes
Evolutionary (deprecation) Adding fields, GraphQL deprecated directive For GraphQL — smooth field removal

We guarantee backward compatibility through automated checks (oasdiff) on CI.

How we develop APIs: step-by-step plan

  1. Analysis — audit of current integrations, data schema compilation, protocol selection (REST/GraphQL/tRPC/WebSocket).
  2. Contract design — OpenAPI or SDL (GraphQL) before the first line of code.
  3. Development — implementation per contract, unit tests for each endpoint.
  4. Load testing — k6: 500 virtual users, 10 minutes, p95 latency ≤ 200ms.
  5. Deployment — CI/CD with backward compatibility check, automatic documentation publication.
  6. Team training — handover of Postman collection or Playground, connection instructions.
Typical mistakes we eliminate
  • N+1 on queries without DataLoader.
  • No rate limiting — DDOS through unauthenticated endpoints.
  • Storing access token in localStorage.
  • Opening multiple WebSocket connections instead of a single connection manager.
  • Documentation not updated after release.

What is included (deliverables)

  • OpenAPI 3.1 specification (or SDL for GraphQL).
  • Generated client types for TypeScript / Dart / Kotlin.
  • Set of automated tests covering all endpoints (unit + integration).
  • Load tests (k6) and report (p50/p95/p99 latency, RPS).
  • Documentation in Swagger UI / Redoc / GraphiQL.
  • Team training (2–4 hour workshop).
  • Support for 30 days after delivery (per contract).

Our experience

  • 10+ years in the API development market.
  • 200+ completed projects (REST, GraphQL, WebSocket, tRPC).
  • 50+ certified engineers (AWS, Kubernetes, API Design).
  • Traffic savings averaging 85% when migrating from REST to GraphQL for mobile apps.
  • 100% backward compatibility — not a single broken client in the last 3 years.

Timeline

API development for a typical SaaS project with 30–50 endpoints: from 3 to 8 weeks depending on business logic complexity and number of external integrations. Migration of an existing REST API to GraphQL: from 2 to 6 weeks. Adding a WebSocket layer to an existing backend: from 1 to 3 weeks. Cost is calculated individually after an audit. Get a consultation — contact us to discuss your project.