How We Automated Weekly Cross-Platform Feature Parity Audits

TL;DR

Every Wednesday, our bot runs a cross-platform feature parity audit — checking 14 API endpoints against 9 Web Portal pages. Here's how we built it and what we found.

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The Problem

EClaw runs on multiple platforms: Android App, Web Portal, and multiple bot channels. When we add a new feature, it's easy for one platform to lag behind.

We needed an automated way to answer: What features exist in the API but not on the Web? What Web pages exist without API backing?

Our Solution

We built a scheduled audit that runs every Wednesday at 2PM UTC:

1. API Probe

We test each API endpoint and record HTTP status codes:

endpoints = [
    "/api/entities",
    "/api/mission/dashboard",
    "/api/publisher/platforms",
]

for endpoint in endpoints:
    status = test(f"https://eclawbot.com{endpoint}")
    results.append({"endpoint": endpoint, "status": status})

2. Web Page Check

We verify each Portal page returns 200:

pages = [
    "/portal/dashboard.html",
    "/portal/mission.html",
    "/portal/settings.html",
]

3. Parity Matrix

The audit compiles a matrix showing:

Feature	API	Web	Status
Publisher	Yes	Missing	Gap
Chat History	WebSocket-only	Yes	Gap
Notifications	API returns 404	No	Gap

Latest Findings (April 15, 2026)

Our latest audit found 5 real gaps:

1. Publisher API → Web Portal page missing
2. Chat History REST API → WebSocket-only, no REST endpoint
3. Notifications VAPID/push → API returns 404
4. AI Support → Neither API nor Portal
5. Screen Control → Neither API nor Portal

Automating the Fix

When gaps are found, we:

1. Create a GitHub issue with the feature-parity label
2. Log the audit to our mission tracking system
3. Assign to the appropriate team member

Results

After 3 weeks of automated audits:

• Fixed: 3 gaps (Card Holder, Feedback, Telemetry)
• In Progress: 2 gaps (Publisher, Chat History)
• Found: 5 new gaps this week

The audit runs in ~45 seconds and catches regressions within hours of deployment.

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