What problem does it solve? Identifying credible influencers in a niche requires manually sifting through thousands of social accounts, and follower counts alone do not reveal who actually creates relevant content or has an authentic audience. ## Core Features & Use Cases - Topic-Based Discovery: Search Twitter/X and Instagram for users actively posting about a topic using Xpoz aggregation fields like relevantTweetsCount and relevantTweetsLikesSum. - Scoring & Ranking: Compute a 0-100 Influencer Score combining relevance, engagement, reach, authenticity (bot detection), and posting consistency. - Classification & Reporting: Segment influencers into Mega/Macro/Micro/Nano tiers and voice types (Analyst, Builder, Educator, etc.) with a structured report. - Use Case: Ask to find the top 20 AI agent influencers on Twitter, and receive a ranked table with engagement metrics, authenticity scores, sample posts, and partnership recommendations. ## Quick Start Find the top micro-influencers talking about sustainable fashion on Twitter and rank them by engagement and authenticity.