QA Tester for AI Plugin API & Directory Submission Review

We need an experienced QA tester and technical reviewer to validate a live AI plugin (built for the Muse platform) and prepare it for directory submission. The plugin connects to a public REST API that joins official political social media posts with real-time prediction market data from Kalshi and Polymarket. This is a structured testing and documentation engagement — not development work. You will follow a detailed test plan, check live API endpoints, interact with the Muse AI interface, and produce a formal bug report with improvement recommendations.

Requirements

- Active Muse (Meta AI) account — U.S.-based testers strongly preferred - Experience with REST API testing (GET requests, HTTP status codes, JSON response review) - Familiarity with AI plugin or GPT-style tool testing - Ability to document bugs clearly with severity ratings, reproduction steps, and suggested fixes - Understanding of prediction markets (Kalshi, Polymarket) is a plus - Strong written English for producing a clean, professional test report Deliverables: - Pass/fail results for plugin connection and 8 structured test prompts - Numbered bug log (PPS-01, PPS-02, etc.) with severity, screenshots, suggested fixes, and retest steps - Directory submission readiness checklist (API, legal pages, privacy, terms, support) - Top 5 improvement recommendations (user-facing and reviewer-facing) - Monetization recommendation memo (informational only, no implementation) - Total hours spent Work Arrangement: This is an hourly engagement. Estimated scope is a focused, short-term task — likely completable within a few hours for an experienced tester. You will submit your findings in a structured report via email or shared document. About the project: This plugin surfaces publicly available political posts alongside public prediction market prices — it is strictly informational and does not place bets, access wallets, or provide investment advice. The goal is clean directory approval and a trustworthy user experience.