How we score creators: the four pillars of brand-fit
Reach, Audience, Content, Conversion — what each sub-score actually measures, how they're weighted, and why follower count doesn't get its own bucket.
One endpoint, one scoring model — five major platforms. Today we're rolling out full audit support across every channel that matters for creator sponsorships.
When we launched, CollabPal scored creators on a single platform. That was the right call to validate the scoring model — but it was always a transitional state. Today every CollabPal audit can target X, Instagram, TikTok, YouTube, or LinkedIn, and your agent never has to learn each platform's quirks.
Pass a creator handle or profile URL from any supported platform and you get back the same response shape: a 0–100 composite score, four weighted sub-scores (Reach, Audience, Content, Conversion), a tier S/A/B/C, structured red flags, and a suggested CPM range.
$ openclaw audit https://instagram.com/levelsio
$ openclaw audit https://tiktok.com/@charlidamelio
$ openclaw audit https://linkedin.com/in/some-creatorIf you're building a sponsorship-pitching agent, the worst tax is platform-specific glue code. Twitter has impressions and retweets, Instagram has reach and saves, TikTok has views and shares, YouTube has watch-time and likes, LinkedIn has dwell and reposts. We normalize all of that into the same four weighted signals so your agent prompts stay short and predictable.
If you want early access to any of those, drop us a note from the docs page.
Reach, Audience, Content, Conversion — what each sub-score actually measures, how they're weighted, and why follower count doesn't get its own bucket.
A command-line tool for AI agents to audit creators across platforms. Structured JSON, no SDK, drop-in for Claude, Hermes, or any LLM workflow.
Why follower counts stopped predicting ROI, what 'engagement pods' did to the data, and the gap we built CollabPal to close.