Hypeauditor

@hypeauditor pull the Instagram report for @glossier and summarize their engagement rate and audience authenticity score

Based on the Instagram report for @glossier: The account shows an engagement rate of 2.4% across recent posts, with 2.8M followers. Audience authenticity score is 87.3%, indicating a high proportion of real followers. The account's primary audience demographic is females aged 18-24 (42%), predominantly located in the United States. Average likes per post: 68K. Average comments: 1.2K. This illustrative example reflects typical report structure—actual metrics vary by account and reporting period.

This example demonstrates the core analytics retrieval capability. Requires a valid API key with Instagram report access. The MCP returns raw metrics; the AI layers interpretation on top. Be aware that influencer data can be 24-48 hours delayed depending on HypeAuditor's refresh cycle.

@hypeauditor get the last 12 posts from @mkbhd's Instagram and identify which content format (Reels vs. carousel vs. single image) drives the highest engagement

Retrieved 12 recent posts from @mkbhd's Instagram account. Analysis shows: Reels average 890K likes and 4.2K comments (avg engagement rate 3.8%). Carousel posts average 620K likes and 2.1K comments (2.9% engagement). Single images average 510K likes and 1.8K comments (2.4% engagement). Reels outperform other formats by 31% on engagement rate. Top-performing Reel: a 42-second tech unboxing posted 6 days ago with 1.2M likes. This illustrative breakdown reflects typical media retrieval output—actual post counts and metrics depend on account activity.

Showcases the media-level data retrieval tool, which provides post-by-post breakdowns. Useful for content strategy analysis. The MCP fetches raw post data; the AI performs the comparative analysis. Note that media retrieval may be subject to rate limits on high-volume requests.

@hypeauditor compare TikTok analytics for @charlidamelio and @addisonre, then draft a one-paragraph brief on which creator has stronger audience quality metrics

TikTok analytics retrieved for both accounts. @charlidamelio: 151M followers, 3.2% engagement rate, 91% audience authenticity. @addisonre: 88M followers, 2.8% engagement rate, 88% audience authenticity. Brief: Charli D'Amelio demonstrates marginally stronger audience quality metrics with a 3-point higher authenticity score and 0.4% better engagement rate, despite having nearly double the follower count. Both creators maintain high authenticity above industry benchmarks (typically 75-85% for mega-influencers). Charli's engagement consistency across a larger base suggests more resilient audience connection. This illustrative comparison reflects typical report structure—actual figures vary by measurement window.

Demonstrates cross-account comparison using the TikTok analytics tool. Requires separate API calls per creator, so be mindful of rate limits when analyzing multiple accounts. The MCP provides raw data; the AI synthesizes the comparison and strategic interpretation. Best for influencer vetting or campaign planning scenarios.

When Hypeauditor beats manual influencer research for small marketing teams

A 3-person DTC brand team vetting 20 influencers per campaign needs engagement rates, follower authenticity, and post performance without opening 60 browser tabs. Hypeauditor's MCP pulls Instagram and TikTok reports directly into Switchy, so the team reviews metrics in one workspace instead of toggling between spreadsheets and the vendor's dashboard. The API key setup takes five minutes. This works best when you're evaluating 10-30 creators per week—enough volume to justify the integration, not so much that you need a dedicated influencer platform with CRM features. If your team runs one campaign per quarter, the manual dashboard is faster. If you're vetting 100+ creators monthly, you need HypeAuditor's full enterprise stack, not the MCP. For the mid-volume sweet spot, this integration turns influencer research from a half-day task into a 20-minute Switchy session.

How agencies use Hypeauditor MCP to skip manual report assembly

A 6-person social agency managing 12 clients pulls monthly performance reports for every influencer partnership their clients run. Before the MCP, an account manager spent 90 minutes per client copying metrics from HypeAuditor's web UI into Google Slides. Now the team runs a Switchy workflow that fetches Instagram and TikTok analytics for all tracked accounts, formats the data, and drops it into a shared doc. The time savings compound when clients ask mid-month questions like 'how did that TikTok creator perform last week?'—the team answers in Switchy instead of logging into HypeAuditor again. This setup assumes your agency already subscribes to HypeAuditor and your clients care about influencer metrics, not just vanity follower counts. If you're only tracking 3-4 influencers total, the MCP is overkill. At 15+ tracked accounts across multiple clients, it pays for itself in saved hours within the first billing cycle.

When Hypeauditor MCP helps product teams track competitor social strategy

A 5-person product team at a consumer app monitors how three direct competitors use Instagram and TikTok to drive downloads. They don't need full influencer analytics—they need post frequency, engagement trends, and content themes over time. The Hypeauditor MCP lets them pull media-level data for competitor accounts into Switchy, where they tag posts by campaign type and compare performance week-over-week. This beats manual screenshot-and-spreadsheet tracking because the data updates automatically and the team discusses findings in the same workspace where they plan their own content calendar. The limitation: Hypeauditor's MCP doesn't analyze content themes or sentiment, so you're still eyeballing posts to categorize them. If your competitive set is stable and you check it weekly, this integration turns a scattered research habit into a structured ritual. If competitors change monthly or you need deeper content analysis, pair this with a separate social listening tool.