KonbiniAPI

Influencer Vetting

Turn a handle into a public profile, recent posts, and engagement signals on every platform the creator publishes on.

Vetting a creator is the same five minutes every time: open the profile, note the account metrics, scroll the recent posts, work out whether the engagement is real, move on to the next name. The judgment is the part worth your afternoon. The retrieval is not. Profile and post calls return structured JSON with shared concepts normalized consistently, while fields unique to TikTok, Instagram, Reddit, X, or LinkedIn remain documented.

Build it into a product.

Resolve the account on each platform, page its recent posts, and compare shared normalized fields alongside the platform-specific metrics each response documents.

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.

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 — ask once, vet instantly

Use ChatGPT or Claude to vet influencers conversationally. Ask about follower counts, recent content, verification status, and engagement — all in one message. No tabs, no spreadsheets.

Example prompts

  • Vet @[influencer] as a TikTok partner for a fitness brand — get their follower count, recent video engagement, and a summary of what they post about.
  • Compare @[a], @[b], and @[c] on Instagram. Who has the strongest engagement relative to follower count?
  • Does @[creator] post consistently on TikTok? Show their last 10 videos with dates and view counts.
  • Is @[username] a good fit for a beauty campaign? Check their Instagram follower count, bio, and recent posts.

Automation — run checks on a schedule

Use Zapier or n8n to automate recurring vetting workflows. Run a scheduled profile check across a shortlist of candidates, log the results to a spreadsheet, and get notified when something changes.

Example workflow

A weekly Zap that fetches follower counts for 10 candidate creators, logs them to a Google Sheet, and sends a Slack summary every Monday morning.

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.

  • Screen inbound creator partnership applications before anyone reviews them by hand
  • Compare a shortlist side by side on shared normalized fields, whichever platforms they publish on
  • Read what a creator actually posts about before the first outreach message
  • Check the follower counts an agency reports against the platform’s own numbers

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.