Creator Benchmarking
Put a creator’s numbers next to their peers’, on fields that mean the same thing.
A follower count means nothing on its own. It means something against the ten accounts doing the same job, which is why benchmarking is mostly the work of gathering ten profiles and making their numbers comparable. Supported responses normalize shared profile and post concepts, reducing platform-specific mapping while retaining fields that only one platform exposes.
Build it into a product.
Read every account in the peer set, compute comparable metrics from shared normalized fields, and account for platform-specific field availability.
Supported responses use a consistent ActivityStreams 2.0-based model. Shared concepts map to consistent fields, while platform-specific capabilities remain documented. Standard calls use one credit; batch endpoints charge one credit per submitted ID. Failed and timed-out requests are automatically refunded.
- Get user profileTikTokGET /v1/tiktok/users/{username}
- Get user videosTikTokGET /v1/tiktok/users/{username}/videos
- Get user profileInstagramGET /v1/instagram/users/{username}
- Get user postsInstagramGET /v1/instagram/users/{username}/posts
- Get user profileRedditGET /v1/reddit/users/{username}
- Get user postsRedditGET /v1/reddit/users/{username}/posts
- Get user profileXGET /v1/x/users/{username}
- Get user postsXGET /v1/x/users/{username}/posts
- Get user profileLinkedInGET /v1/linkedin/users/{username}
- Get user postsLinkedInGET /v1/linkedin/users/{username}/posts
Or run it in a tool you already use.
The same endpoints are available as MCP tools. Connect a supported client once and the work becomes a question you ask or a step in a scheduled workflow — with no integration to build.
Chat — benchmark a set of creators on demand
Ask ChatGPT or Claude to compare any set of creators, with the profile and post data fetched as part of the answer.
Example prompts
- Compare @[creator1], @[creator2], and @[creator3] on TikTok — follower counts and recent engagement.
- Where does @[creator] rank against these five peers on engagement per post rather than follower count?
- Take this list of 8 Instagram handles and sort them by average likes across their last 12 posts.
- Is @[creator]’s posting cadence ahead of or behind the others in their niche? Check the last 20 posts for each.
Automation — re-run the benchmark on a cadence
Run the same peer set on a schedule so a benchmark becomes a series. Log each round and the movement between rounds is the finding.
Example workflow
A monthly n8n workflow that reads a roster of 20 creators, writes follower count and average engagement per creator to a database, and posts the biggest movers to Slack.
What this covers.
Public data only. Supported endpoints return what the platform serves publicly, and reaching it never depends on a connected account — so private analytics for accounts you own are outside what this can answer.
- Work out where a creator sits in their niche before agreeing to a rate
- Track a roster’s relative performance across a campaign period
- Compare creators who publish on different platforms on shared normalized fields
- Re-run a benchmark monthly and keep every round in one series
Related jobs
- Creator DiscoveryFind the accounts worth vetting, before you have a handle to look up.
- Influencer VettingTurn a handle into a public profile, recent posts, and engagement signals on every platform the creator publishes on.
- Audience ResearchFind out who shows up around a topic, and what they say when they do.
Try it with your own accounts.
Get a free API key and make the first call. 100 credits, every platform, both interfaces, no credit card.