Mindcase for Influencer Vetting

Most creators worth paying aren't on one platform. A fitness creator with a following on Instagram usually has a TikTok account and often a YouTube channel too, and a deal that only checks the platform you found them on misses whatever's happening on the other two.

How to Vet an Instagram Influencer Before You Pay Them already covers the single-platform version of this — a scoring framework built from Instagram's real profile, post, and follower fields. This post is the agent version: one task that pulls the same kind of signal across all three platforms at once, so an agent can vet a creator's whole footprint instead of just the platform you happened to start on.

If you're an agent (or building one) reading this rather than a human, the full machine-readable schema for every endpoint below lives at mindcase.co/skills.md.

What changes when a creator has more than one platform?

A single-platform check answers "is this account real." A multi-platform check answers a different question: does the size and activity level match across platforms, or is one of them propping up the others. A creator with 80,000 real, engaged Instagram followers and a TikTok account that was clearly bought last month is a different deal than either number alone would suggest.

The agent task is the same shape every time: start from whichever platform you found the creator on, find their other accounts, pull comparable signals from each, and flag anything that doesn't line up.

How do you find their other platforms from one starting point?

YouTube's channel data is the easiest jumping-off point, because a real channel page usually lists its other platforms directly rather than leaving you to guess a handle.

curl -X POST "https://api.mindcase.co/v1/data/youtube/channels/run?wait=true" \
-H "Authorization: Bearer $MINDCASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "params": {
    "urls": ["https://www.youtube.com/@mira.moves"]
  }
}'

# $0.0005 per channel

YouTube Channels API returns 21 fields, and three of them do the cross-platform lookup for you: instagramUrl, tiktokUrl, and twitterXUrl. A channel that actually links out to the same handle on both other platforms is a stronger signal on its own — a creator building a real cross-platform presence links their accounts together; one juggling disconnected, unrelated handles usually doesn't bother.

How do you pull the same signal from each platform?

Once you have all three handles, the checks are the same shape as the single-platform version — verification, business setup, recent activity — just run once per platform.

What does Instagram return?

Instagram Profiles API returns 25 fields per account for $0.002 — verified, businessAccount, businessCategory, bioLinks, followers, posts, and lastPostDate are the ones the comparison below runs on. Full walkthrough and scoring table in the single-platform post linked above.

What does TikTok return?

curl -X POST "https://api.mindcase.co/v1/data/tiktok/profiles/run?wait=true" \
-H "Authorization: Bearer $MINDCASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "params": {
    "searchQueries": "mira.moves",
    "maxProfilesPerQuery": 1
  }
}'

# $0.0025 per profile

TikTok Profiles API returns 19 fields for $0.0025 per profile, and one of them Instagram's own profile data doesn't have at all: accountCreated. TikTok exposes the account's real creation date; the closest Instagram gets is lastPostDate, which measures recent activity, not age. A TikTok account created three weeks ago paired with an Instagram account that's been posting for two years is a pattern worth noticing on its own.

What does the comparison actually look like?

Say the YouTube channel for @mira.moves lists both an Instagram and a TikTok link. Pulling all three: Instagram shows a verified business account, businessCategory set to "Fitness", and steady posting for over a year. TikTok shows an unverified account with accountCreated six weeks ago and a follower count roughly triple Instagram's. YouTube itself has been active for two years with a normal upload cadence.

None of that is disqualifying by itself — a fitness creator can genuinely build a fast TikTok following off a YouTube and Instagram base that's already established. What it does is tell you which platform's numbers to trust more, and which one to ask about directly before you agree on a rate: the two-year YouTube channel and the year-plus Instagram history are the load-bearing signals here, and the six-week-old TikTok account is the one worth a direct question, not an assumption either way.

What can't you check this way?

Two real gaps, not soft ones.

A channel that doesn't cross-link its other platforms. instagramUrl and tiktokUrl on a YouTube channel are only populated if the creator filled them in. A real creator who never bothered to link their accounts looks the same, from this data, as one deliberately keeping platforms separate — there's no field that tells the two apart.

Consistency across platforms isn't proof of anything beyond consistency. A creator running the same bought-follower pattern on all three platforms will clear a cross-platform check just as easily as a creator running it on none. Matching numbers across platforms rules out one specific problem — a single platform being propped up while the others are real — not fraud generally.

Which endpoint should you use for which job?

FAQ