Operated by Sourcelane✓ verified
Calculate TikTok engagement rate, median views, posting frequency, an A+ to F grade and red flags for creators in bulk. Vet influencers before you pay them.
A bulk TikTok influencer audit that computes real engagement and reach metrics per creator for vetting and analysis. The connector extracts public profile and recent-video data to produce per-creator audits including engagement rate measured by views and by followers, median and average views, reach-to-follower ratios, per-video interaction averages (likes, comments, shares, saves), posting cadence and recency, top and viral video identification, counts of promoted/paid partnership content, a consistency score based on view dispersion, and a relative engagement grade against follower-tier benchmarks. Technical capabilities include analyzing up to the most recent videos, skipping pinned and ad-boosted videos from average calculations, excluding very fresh videos from averages, computing engagement-by-views as average interactions divided by views, computing engagement-by-followers as average interactions divided by followers, using median views to represent typical post reach, flagging viral videos as those exceeding three times the median, scoring view consistency via the standard deviation of log10 views scaled to 0–100, and assigning letter grades by comparing engagement-to-tier benchmarks across follower tiers (nano, micro, mid, macro, mega). The audit also produces structured red-flag signals for low reach, inactivity, unusually high or low engagement, like spikes, comment-heavy activity, one-hit dependence, and small sample sizes, and can include an optional per-video breakdown with individual video metrics.
Verified Oct 25, 10:11 PM
$0.035
per creator report
Up to 28 per call. Only pay for results returned; failed calls are refunded.
Influencer vetting
Verify a creator's real engagement before contracting sponsored posts
Influencer discovery and shortlisting
Rank candidates by grade, engagement rate and median views
Fake engagement and fake follower screening
Detect mismatches between views/likes and follower counts
Campaign planning and CPM estimates
Use median views to forecast realistic sponsored-post reach
Competitor and creator benchmarking
Compare creators in a niche across the same engagement and reach metrics
Creators to audit, one per line.
Optional settings
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.
Call it via Sourcelane
curl -X POST https://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"tiktok-engagement-rate-calculator","params":{"usernames":["khaby.lame","dylan.page","moneymoveswithlydia"]},"maxResults":10}'Request params
| Field | Type | Required | Description |
|---|---|---|---|
usernames | array | required | Creators to audit, one per line (up to 500 per run). Accepts usernames with or without @, or profile URLs such as https://www.tiktok.com/@name. |
videosToAnalyze | integer | optional | How many of the creator's most recent videos to base the metrics on (3-35). Pinned videos are skipped; ad-boosted videos and videos posted in the last 24 hours are left out of the engagement averages. |
includeVideos | boolean | optional | Add a recentVideos array to each report with every video's URL, date, views, likes, comments, shares, saves and engagement rate. Same price. |
Each result contains
| Field | Type | Description |
|---|---|---|
username | string | Username |
status | string | Status |
message | string | — |
nickname | null | — |
profileUrl | string | — |
verified | null | — |
followers | null | Followers |
following | null | — |
totalLikes | null | — |
videoCount | null | — |
bio | null | — |
bioLink | null | — |
avatarUrl | null | — |
videosAnalyzed | null | — |
promotedVideoCount | null | — |
paidPartnershipCount | null | — |
engagementRate | null | ER by views (%) |
engagementRateByFollowers | null | ER by followers (%) |
avgViews | null | — |
medianViews | null | Median views |
avgLikes | null | — |
avgComments | null | — |
avgShares | null | — |
avgSaves | null | — |
viewsToFollowersRatio | null | Views / followers |
postsPerWeek | null | Posts / week |
lastPostedAt | null | — |
daysSinceLastPost | null | Days since last post |
topVideo | null | — |
viralVideoCount | null | — |
consistencyScore | null | — |
followerTier | null | — |
tierBenchmarkEngagementRate | null | — |
engagementGrade | null | Grade |
redFlags | null | Red flags |
analyzedAt | string | — |
Pick your tool and connect in under a minute. Then just ask — for example: “What are the top 25 TikTok videos for 'protein coffee' this week, and what hooks do they use?”
Connect Claude
Web, desktop and mobile. One click, then confirm.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"mcpServers": {
"sourcelane": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.usesourcelane.com/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer sl_live_your_agent_key"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"servers": {
"sourcelane": {
"type": "http",
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer ${input:sourcelane-key}"
}
}
},
"inputs": [
{
"type": "promptString",
"id": "sourcelane-key",
"description": "Sourcelane agent key",
"password": true
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://usesourcelane.com/openapi.jsonOne POST. Pass maxResults to cap cost.
curl -X POST https://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"tiktok-engagement-rate-calculator","params":{"usernames":["khaby.lame","dylan.page","moneymoveswithlydia"]},"maxResults":10}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
import requests
res = requests.post(
"https://api.usesourcelane.com/v1/call",
headers={"Authorization": "Bearer sl_live_your_agent_key"},
json={
"listing": "tiktok-engagement-rate-calculator",
"params": {"usernames":["khaby.lame","dylan.page","moneymoveswithlydia"]},
"maxResults": 10,
},
timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])—
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