Building a Real‑Time Explainability Dashboard for OpenClaw

1️⃣ Create a Secure Rating API Endpoint

In the UBOS Web app editor, add a new REST Endpoint named /openclaw/rating. Enable API Key authentication and paste the OpenClaw secret token.

{
  "model_id": "string",
  "explainability_score": 0.0,
  "confidence": 0.0,
  "drift_metric": 0.0,
  "timestamp": "ISO8601"
}

UBOS automatically generates OpenAPI documentation, which you can share with the OpenClaw team for integration.

2️⃣ Enable Edge ML Ingestion

Navigate to the Enterprise AI platform by UBOS and create a new Edge ML Pipeline. Select the Rating Stream as the source and map incoming fields to the internal schema.

• Apply a Min‑Max Normalizer to explainability_score.
• Calculate a rolling 30‑minute average confidence.
• Flag drift_metric > 0.7 as a potential model decay event.

Save the pipeline; UBOS will spin up a lightweight Docker container at the edge, ensuring sub‑second latency.

3️⃣ Wire the Workflow Automation Studio

Open the Workflow automation studio and create a new Streaming Workflow called OpenClaw Dashboard Sync. Add the following nodes:

1. Trigger: Listen to the Edge ML Metrics Store for new records.
2. Transform: Enrich each record with model_name from a lookup table.
3. Aggregate: Compute 5‑minute moving averages for each KPI.
4. Alert: If drift_metric > 0.8, push a notification to the Slack channel (or any webhook).
5. Publish: Emit the final payload to a WebSocket endpoint wss://dashboard.ubos.tech/stream.

All nodes are configurable via a visual JSON editor, keeping the implementation under 200 lines of code.

4️⃣ Build the Real‑Time UI

Return to the Web app editor and create a new Dashboard App. Use the following Tailwind‑styled components:

• <div class="grid grid-cols-2 gap-4"> – Layout for KPI cards.
• <canvas data-chart="line" data-source="wss://dashboard.ubos.tech/stream"> – Live line chart for explainability score.
• <div class="bg-red-100 text-red-800 p-2 rounded"> – Conditional alert banner when drift exceeds threshold.

Example KPI card:

<div class="p-4 bg-white rounded shadow">
  <h4 class="text-lg font-medium">Explainability Score</h4>
  <div id="explainability-value" class="text-3xl font-bold">0.00</div>
</div>

Bind the #explainability-value element to the WebSocket stream using UBOS’s built‑in data-bind attribute.

5️⃣ Deploy and Test

Click Deploy in the editor. UBOS provisions a secure HTTPS endpoint, a CDN‑cached static bundle, and the WebSocket server. Use the OpenClaw hosting page to register your dashboard URL, enabling single‑sign‑on for your ops team.

Run a quick sanity test:

1. Send a sample payload via curl to /openclaw/rating.
2. Observe the KPI cards update within 1‑2 seconds.
3. Trigger a drift event (>0.8) and verify the Slack alert fires.