CollabPal now audits creators on X, Instagram, TikTok, YouTube, and LinkedIn
One endpoint, one scoring model — five major platforms. Today we're rolling out full audit support across every channel that matters for creator sponsorships.
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.
Most creator-audit tools assume a human is going to read the dashboard. CollabPal was always built around the assumption that the consumer is increasingly an agent — Claude running on a workflow, Hermes routing leads, custom orchestrators stitching pipelines. Today we're shipping the CLI that makes that assumption explicit.
OpenClaw is a small command-line interface that wraps the CollabPal audit API. Every command outputs structured JSON. No SDK to install, no auth dance, no platform-specific glue.
$ npx skills add collabpal/openclaw
$ export COLLABPAL_API_KEY="cp_live_..."
$ openclaw audit @levelsioBecause the LLM ecosystem has converged on shell commands as the lowest-common-denominator integration surface. Claude Code can run shell commands. Hermes can run shell commands. Cursor, Continue, GPT-based agent runtimes — they can all run shell commands. By shipping OpenClaw as a CLI, we get drop-in compatibility with every agent runtime that exists today and most of the ones that will exist tomorrow.
One endpoint, one scoring model — five major platforms. Today we're rolling out full audit support across every channel that matters for creator sponsorships.
Reach, Audience, Content, Conversion — what each sub-score actually measures, how they're weighted, and why follower count doesn't get its own bucket.
Why follower counts stopped predicting ROI, what 'engagement pods' did to the data, and the gap we built CollabPal to close.