influencer-discovery

Find and rank influencers by niche, engagement, and authenticity across Twitter and Instagram.

15|3|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/XPOZpublic/xpoz-agent-skills --skill influencer-discovery-xpozpublic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: influencer-discovery
Source: https://github.com/XPOZpublic/xpoz-agent-skills/tree/main/skills/influencer-discovery
Command: npx skills add https://github.com/XPOZpublic/xpoz-agent-skills --skill influencer-discovery-xpozpublic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires xpoz, @xpoz/xpoz.

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.

Frequently Asked Questions about influencer-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find influencers in a specific niche on Twitter?

Use the Xpoz getTwitterUsersByKeywords tool with a topic query and a date range. It returns users who posted about the topic along with relevantTweetsCount, relevantTweetsLikesSum, and follower data, which you then score and rank.

How do I detect fake influencers or bot accounts?

Xpoz provides isInauthentic and isInauthenticProbScore fields for each user. The scoring formula converts this into an authenticity component, so accounts with high bot probability are penalized in the final ranking.

Does influencer discovery work on Instagram and Reddit?

The skill primarily targets Twitter/X, with Instagram supported for relevant niches and Reddit mentioned as a searchable platform. Twitter offers the richest aggregation fields for ranking by topic-relevant engagement.

What API access do I need to run influencer searches?

You need a free Xpoz access key from xpoz.ai, usable via MCP (mcporter or Claude Code with OAuth) or the Python/TypeScript SDK with the XPOZ_API_KEY environment variable. The free tier supports up to 75K results.

How is the influencer score calculated?

The 0-100 score weights relevance at 30%, engagement at 30%, reach at 20% (logarithmic follower scale), authenticity at 10%, and posting consistency at 10%. Each factor is capped to prevent any single metric from dominating.