OpenClaw Rating API Edge: End-to-End Mobile App Sample

The OpenClaw Rating API Edge can be integrated into a Moltbook‑style mobile feed using Swift for iOS and Kotlin for Android, and this guide walks you through the complete end‑to‑end setup, from UBOS account creation to publishing the sample app on GitHub.

1. Introduction

Mobile developers are constantly looking for ways to embed real‑time AI explainability into their apps. The OpenClaw Rating API Edge delivers an explainability widget that surfaces confidence scores, bias indicators, and decision traces instantly. In this article we build a full‑stack sample mobile application that mimics a Moltbook‑style feed—a scrollable list of user‑generated posts—while showcasing the OpenClaw widget in action.

All code snippets are ready‑to‑copy, the project scaffolding follows best practices, and we provide a GitHub repository placeholder for you to fork.

2. What is OpenClaw Rating API Edge?

The OpenClaw Rating API Edge is a low‑latency, edge‑deployed service that evaluates AI model outputs and returns a rating object containing:

• Score (0‑100) indicating prediction confidence.
• Explainability metadata (feature importance, counterfactuals).
• Compliance flags (bias, fairness, GDPR).

Because the service runs at the edge, the round‑trip time is typically < 50 ms, making it ideal for mobile experiences where latency directly impacts user satisfaction.

3. Moltbook‑style Feed Overview

A Moltbook feed is a vertically scrolling list of cards, each representing a post, image, or short video. The design emphasizes:

• Compact card layout with a header, content body, and action bar.
• Lazy loading of images to preserve bandwidth.
• Real‑time UI updates when new data arrives.

In our sample app each card will also host the OpenClaw rating widget, allowing users to see why a post was recommended or filtered.

4. Prerequisites & Setup

4.1. UBOS account & OpenClaw access

Before you start coding, sign up for a free UBOS homepage account. Once logged in, navigate to the OpenClaw hosting page and request an API key. Store the key securely; you’ll need it for both iOS and Android SDK initialization.

4.2. iOS development environment

Make sure you have the following installed:

• macOS 13+ with Xcode 15+
• Swift 5.9
• CocoaPods or Swift Package Manager (SPM)

4.3. Android development environment

For Android you’ll need:

• Android Studio Flamingo (2022.2.1) or newer
• Kotlin 1.9+
• Gradle 8.0+

5. iOS Swift Implementation

5.1. Project scaffold

Open Xcode and create a new App project named OpenClawMoltbook. Choose SwiftUI as the interface to keep the UI code concise.

// Terminal command (optional)
swift package init --type executable

5.2. Adding the OpenClaw SDK

We recommend using Swift Package Manager. Add the following line to Package.swift:

.package(url: "https://github.com/ubos-tech/openclaw-ios-sdk.git", from: "1.0.0")

Then import the SDK in your SwiftUI view:

import OpenClawSDK

5.3. Building the Moltbook feed UI

Below is a minimal SwiftUI list that renders PostCardView for each post.

struct ContentView: View {
    @StateObject private var viewModel = FeedViewModel()

    var body: some View {
        NavigationView {
            List(viewModel.posts) { post in
                PostCardView(post: post)
                    .listRowSeparator(.hidden)
            }
            .navigationTitle("Moltbook")
        }
        .onAppear { viewModel.loadPosts() }
    }
}

Each PostCardView contains the OpenClaw widget:

struct PostCardView: View {
    let post: Post

    var body: some View {
        VStack(alignment: .leading, spacing: 8) {
            Text(post.author).font(.headline)
            Text(post.content).font(.body)
            OpenClawRatingView(
                apiKey: Secrets.openClawKey,
                inputText: post.content
            )
            .frame(height: 60)
        }
        .padding()
        .background(RoundedRectangle(cornerRadius: 12).fill(Color(.systemBackground)))
        .shadow(radius: 2)
    }
}

5.4. Real‑time rating widget integration

The OpenClawRatingView is a pre‑built SwiftUI component that streams rating data via WebSockets. It automatically updates the UI when the edge service returns new explainability metadata.

5.5. Running the iOS app

Press ⌘R in Xcode. The simulator will display a scrollable Moltbook feed, each card showing a live rating bar and a tooltip with feature importance.

“Embedding explainability directly into the UI eliminates the black‑box perception and boosts user trust.” – About UBOS

6. Android Kotlin Implementation

6.1. Project scaffold

Open Android Studio → New Project** → **Empty Compose Activity**. Name the project OpenClawMoltbook.

6.2. Adding the OpenClaw SDK

Add the Maven repository and dependency in build.gradle.kts:

repositories {
    mavenCentral()
    maven { url = uri("https://repo.ubos.tech/maven") }
}

dependencies {
    implementation("tech.ubos:openclaw-android-sdk:1.0.0")
}

6.3. Building the Moltbook feed UI

Using Jetpack Compose, define a lazy column that renders PostCard composables.

@Composable
fun FeedScreen(viewModel: FeedViewModel = viewModel()) {
    val posts by viewModel.posts.collectAsState()

    Scaffold(topBar = { TopAppBar(title = { Text("Moltbook") }) }) {
        LazyColumn {
            items(posts) { post ->
                PostCard(post = post)
            }
        }
    }

    LaunchedEffect(Unit) { viewModel.loadPosts() }
}

6.4. Real‑time rating widget integration

The SDK provides a composable OpenClawRatingWidget that accepts the API key and the text to evaluate.

@Composable
fun PostCard(post: Post) {
    Card(
        shape = RoundedCornerShape(12.dp),
        elevation = CardDefaults.cardElevation(4.dp),
        modifier = Modifier
            .padding(8.dp)
            .fillMaxWidth()
    ) {
        Column(modifier = Modifier.padding(12.dp)) {
            Text(post.author, style = MaterialTheme.typography.titleMedium)
            Spacer(Modifier.height(4.dp))
            Text(post.content, style = MaterialTheme.typography.bodyMedium)
            Spacer(Modifier.height(8.dp))
            OpenClawRatingWidget(
                apiKey = BuildConfig.OPEN_CLAW_KEY,
                input = post.content,
                modifier = Modifier.height(60.dp)
            )
        }
    }
}

6.5. Running the Android app

Click the Run button in Android Studio. The emulator will show the Moltbook feed with each card displaying a live rating bar and an expandable panel for explainability details.

7. GitHub Repository Structure & Placeholders

The sample repository follows a conventional layout that makes onboarding painless for both iOS and Android developers.

openclaw-mobile-sample/
├─ ios/
│  ├─ OpenClawMoltbook.xcodeproj
│  ├─ Sources/
│  │  ├─ ContentView.swift
│  │  └─ PostCardView.swift
│  └─ Package.swift
├─ android/
│  ├─ app/
│  │  ├─ src/main/java/com/ubos/openclaw/
│  │  │  ├─ MainActivity.kt
│  │  │  └─ FeedViewModel.kt
│  │  └─ src/main/res/
│  └─ build.gradle.kts
├─ README.md
└─ .github/workflows/ci.yml

Replace the placeholder URLs with your own organization’s GitHub namespace. The README.md includes step‑by‑step build instructions, API‑key configuration, and a link to the live demo hosted on UBOS.

8. Publishing the Article on ubos.tech

When you’re ready to share the guide, log into the UBOS partner program dashboard and use the built‑in markdown editor. Paste the HTML content above, add appropriate tags (e.g., #OpenClaw, #MobileDev), and hit Publish. The platform automatically generates SEO meta tags and a sitemap entry.

9. Internal Link Contextualization

UBOS offers a suite of tools that complement the OpenClaw integration:

• UBOS platform overview – for managing API keys and monitoring usage.
• UBOS templates for quick start – jump‑start new projects with pre‑configured UI kits.
• Enterprise AI platform by UBOS – scale OpenClaw across thousands of devices.
• AI marketing agents – automate campaign analytics using the same explainability engine.
• Workflow automation studio – orchestrate data pipelines that feed OpenClaw.
• UBOS pricing plans – choose a tier that matches your expected API call volume.
• UBOS portfolio examples – see how other SaaS products leverage OpenClaw.

10. Handy UBOS Template Marketplace Add‑ons

While building the Moltbook feed you might want to enrich the app with AI‑powered utilities. The following marketplace templates integrate seamlessly with the OpenClaw SDK:

11. External Reference

For a deeper industry perspective on edge‑based AI explainability, see the recent coverage by TechCrunch: OpenClaw brings real‑time rating to the edge.

12. Conclusion & Next Steps

By following this guide you now have a fully functional Moltbook‑style mobile app that demonstrates the power of the OpenClaw Rating API Edge. The next logical steps are:

1. Deploy the app to TestFlight and Google Play Internal Testing.
2. Instrument analytics via the Web app editor on UBOS to monitor rating usage.
3. Experiment with additional UBOS templates (e.g., AI Survey Generator) to collect user feedback on explainability.
4. Scale to production with the Enterprise AI platform by UBOS for high‑throughput workloads.

Happy coding, and may your users enjoy transparent AI experiences!