Building a Native iOS Swift SDK for OpenClaw Rating API

🚀 Introduction – AI‑Agent Boom & Moltbook Launch

The past six months have witnessed an unprecedented surge in AI‑agent development. Platforms such as AI marketing agents are being stitched into mobile products at breakneck speed. The recent launch of Moltbook, a collaborative AI‑agent notebook, has amplified the demand for lightweight, secure mobile SDKs that can talk to self‑hosted services like OpenClaw.

OpenClaw, an open‑source rating engine, powers recommendation systems for games, e‑commerce, and AI‑driven content curation. By exposing a clean RESTful Rating API, it lets developers embed real‑time scoring into any client – including native iOS apps. This guide walks you through building a first‑class Swift SDK that developers can drop into their Moltbook‑enabled projects.

Why Build a Native iOS Swift SDK for OpenClaw?

• Performance: Swift runs natively on iOS, eliminating the overhead of JavaScript bridges.
• Type‑Safety: Strongly‑typed models catch API contract mismatches at compile time.
• Seamless Integration: A Swift package can be imported directly into Xcode projects, CI pipelines, and Moltbook notebooks.
• Security Control: You decide how API keys are stored, rotated, and transmitted.
• Future‑Proofing: As OpenClaw evolves, a dedicated SDK can evolve in lockstep, providing deprecation warnings and migration helpers.

Prerequisites

Before you start, make sure you have the following:

• macOS 13+ with Xcode 15 installed.
• Swift 5.9 (or later) – the SDK uses modern concurrency features.
• An OpenClaw instance (self‑hosted or cloud) and a valid API token.
• Basic familiarity with URLSession, Codable, and Swift Package Manager.
• Git for version control (optional but recommended).

Project Setup – Creating a New Xcode Project

1. Open Xcode → File → New → Project.
2. Select App under iOS, click Next.
3. Enter a product name (e.g., OpenClawDemo), set Interface to SwiftUI, Life Cycle to SwiftUI App, and Language to Swift. Click Next and choose a folder.
4. Close the project for a moment – we’ll add the SDK as a Swift package.

Adding the OpenClaw Rating API Client Library

We’ll create a separate Swift package that can be reused across multiple iOS apps.

1. In Xcode, choose File → New → Swift Package.
2. Name the package OpenClawSDK and set the location inside your workspace.
3. Replace the generated Sources/OpenClawSDK/OpenClawSDK.swift with the skeleton shown below.

// OpenClawSDK.swift
import Foundation

public struct OpenClawConfig {
    public let baseURL: URL
    public let apiKey: String
    public init(baseURL: URL, apiKey: String) {
        self.baseURL = baseURL
        self.apiKey = apiKey
    }
}

public final class OpenClawClient {
    private let config: OpenClawConfig
    private let session: URLSession

    public init(config: OpenClawConfig, session: URLSession = .shared) {
        self.config = config
        self.session = session
    }

    // MARK: - Authentication
    private var authHeader: String {
        return "Bearer \(config.apiKey)"
    }

    // MARK: - Public API
    public func fetchRatings(for itemID: String) async throws -> [Rating] {
        // Implementation in next section
    }

    public func submitRating(_ rating: NewRating) async throws -> RatingResponse {
        // Implementation in next section
    }
}

// MARK: - Models
public struct Rating: Codable {
    public let userId: String
    public let score: Int
    public let comment: String?
    public let createdAt: Date
}

public struct NewRating: Codable {
    public let itemId: String
    public let score: Int
    public let comment: String?
}

public struct RatingResponse: Codable {
    public let success: Bool
    public let ratingId: String
}

Step‑by‑Step Implementation

a. Authentication Flow

OpenClaw uses token‑based authentication. The SDK stores the token in the OpenClawConfig and injects it as a Bearer header on every request.

// Inside OpenClawClient
private func makeRequest(path: String, method: String = "GET", body: Data? = nil) throws -> URLRequest {
    guard let url = URL(string: path, relativeTo: config.baseURL) else {
        throw OpenClawError.invalidURL
    }
    var request = URLRequest(url: url)
    request.httpMethod = method
    request.setValue(authHeader, forHTTPHeaderField: "Authorization")
    request.setValue("application/json", forHTTPHeaderField: "Content-Type")
    request.httpBody = body
    return request
}

b. Fetching Rating Data

The fetchRatings method pulls a list of Rating objects for a given item.

public func fetchRatings(for itemID: String) async throws -> [Rating] {
    let request = try makeRequest(path: "/api/v1/items/\(itemID)/ratings")
    let (data, response) = try await session.data(for: request)

    guard let http = response as? HTTPURLResponse, 200..<300 ~= http.statusCode else {
        throw OpenClawError.serverError(statusCode: (response as? HTTPURLResponse)?.statusCode ?? -1)
    }

    let decoder = JSONDecoder()
    decoder.dateDecodingStrategy = .iso8601
    return try decoder.decode([Rating].self, from: data)
}

c. Submitting User Ratings

To post a new rating, encode a NewRating instance and send it via POST.

public func submitRating(_ rating: NewRating) async throws -> RatingResponse {
    let encoder = JSONEncoder()
    let body = try encoder.encode(rating)

    var request = try makeRequest(path: "/api/v1/ratings", method: "POST", body: body)
    request.httpMethod = "POST"

    let (data, response) = try await session.data(for: request)

    guard let http = response as? HTTPURLResponse, 200..<300 ~= http.statusCode else {
        throw OpenClawError.serverError(statusCode: http.statusCode)
    }

    return try JSONDecoder().decode(RatingResponse.self, from: data)
}

d. Handling Errors

Centralising error handling makes the SDK consumer’s code cleaner.

public enum OpenClawError: Error, LocalizedError {
    case invalidURL
    case serverError(statusCode: Int)
    case decodingFailed
    case networkError(Error)

    public var errorDescription: String? {
        switch self {
        case .invalidURL: return "The request URL is malformed."
        case .serverError(let code): return "Server returned error code \(code)."
        case .decodingFailed: return "Failed to decode the response."
        case .networkError(let err): return "Network error: \(err.localizedDescription)"
        }
    }
}

Security Best Practices

a. Secure Storage of API Keys

Never hard‑code API tokens in source files. Use Keychain or the new Secure Enclave to store the token. Example:

// Storing token securely
import Security

func storeToken(_ token: String) {
    let data = Data(token.utf8)
    let query: [String: Any] = [
        kSecClass as String: kSecClassGenericPassword,
        kSecAttrAccount as String: "openclaw_api_key",
        kSecValueData as String: data,
        kSecAttrAccessible as String: kSecAttrAccessibleWhenUnlockedThisDeviceOnly
    ]
    SecItemAdd(query as CFDictionary, nil)
}

b. TLS/SSL Verification

iOS enforces TLS 1.2+ by default. Ensure your OpenClaw server presents a valid certificate signed by a trusted CA. Disable NSAllowsArbitraryLoads in Info.plist unless you are testing locally with self‑signed certs.

c. Input Validation & Sanitization

Validate user‑provided scores (e.g., 1‑5) before sending them to the API. Use Swift’s precondition or custom validators to avoid injection attacks.

d. Least‑Privilege Permissions

Create API tokens with the minimal scope required (e.g., read:ratings and write:ratings). Rotate them regularly and revoke any token that is no longer in use.

Testing the SDK (Unit & UI Tests)

A robust test suite protects you from regressions as OpenClaw evolves.

• Unit Tests: Mock URLSession using URLProtocol to return canned JSON responses.
• Integration Tests: Spin up a Dockerized OpenClaw instance in CI and run end‑to‑end scenarios.
• UI Tests: Verify that a SwiftUI view correctly displays fetched ratings.

// Example unit test for fetchRatings
import XCTest
@testable import OpenClawSDK

final class OpenClawClientTests: XCTestCase {
    func testFetchRatingsSuccess() async throws {
        // Arrange
        let mockSession = MockURLSession()
        mockSession.nextData = """
        [
          {"userId":"u123","score":5,"comment":"Great!","createdAt":"2024-03-01T12:00:00Z"}
        ]
        """.data(using: .utf8)
        mockSession.nextResponse = HTTPURLResponse(url: URL(string: "https://example.com")!,
                                                   statusCode: 200,
                                                   httpVersion: nil,
                                                   headerFields: nil)

        let config = OpenClawConfig(baseURL: URL(string: "https://example.com")!,
                                   apiKey: "test-token")
        let client = OpenClawClient(config: config, session: mockSession)

        // Act
        let ratings = try await client.fetchRatings(for: "item123")

        // Assert
        XCTAssertEqual(ratings.count, 1)
        XCTAssertEqual(ratings.first?.score, 5)
    }
}

Publishing the SDK (CocoaPods / Swift Package Manager)

Swift Package Manager (Recommended)

1. Add a Package.swift manifest if you haven’t already.
2. Tag a release in Git (e.g., v1.0.0).
3. Consumers add the package via Xcode: File → Add Packages → URL of repo.

CocoaPods

If your audience still prefers CocoaPods, create a .podspec file:

Pod::Spec.new do |s|
  s.name         = "OpenClawSDK"
  s.version      = "1.0.0"
  s.summary      = "Native Swift SDK for OpenClaw Rating API"
  s.homepage     = "https://github.com/yourorg/OpenClawSDK"
  s.license      = { :type => "MIT", :file => "LICENSE" }
  s.author       = { "Your Name" => "you@example.com" }
  s.source       = { :git => "https://github.com/yourorg/OpenClawSDK.git", :tag => s.version.to_s }
  s.platform     = :ios, "15.0"
  s.swift_version = "5.9"
  s.source_files = "Sources/**/*.swift"
end

Publish with pod trunk push OpenClawSDK.podspec.

Conclusion – Leveraging the SDK in AI‑Agent Projects and Moltbook Integrations

With the native iOS Swift SDK in place, developers can now embed OpenClaw’s rating engine directly into Moltbook notebooks, AI‑driven recommendation bots, or any SwiftUI‑based product. The modular design, combined with the security hardening steps above, ensures that your mobile app remains performant, maintainable, and compliant with modern data‑privacy standards.

As AI agents become more autonomous, the need for trustworthy, low‑latency feedback loops grows. By exposing rating data through a first‑class SDK, you give your agents the ability to learn from real user sentiment in near‑real time—an advantage that can differentiate your product in the crowded AI‑agent marketplace.