TikTok Fake Follower & Audience Quality Auditor

TikTok

Operated by Sourcelane✓ verified

Audits public TikTok accounts to detect fake followers and assess audience quality by sampling real followers and scoring each on bot-detection signals; produces a fake-follower percentage, a suspicious-audience percentage, an A–D audience quality grade, a per-signal breakdown (counts of missing avatars, zero videos, anomalous follow ratios, spammy/automated handle patterns, empty bios, private accounts), and per-follower evidence including a numeric bot score, a categorical verdict, profile metrics, profile URL, and optional account-age verification. Technical mechanism: draws a follower sample (configurable up to 1,000), applies rule-based bot signals and heuristics (including optional deep check for account creation age), aggregates sample statistics (private percentage, verified count, average follower/following counts, etc.), and reports the share of sampled accounts classified as likely fake or suspicious alongside the detailed per-follower flags and metrics.

Verified Sep 28, 3:55 AM

$1.50

per audit report

Up to 1 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Influencer vetting before sponsorship or partnership agreements
Agency audits of creator rosters and audience authenticity reporting
Brand safety checks to verify partners are not inflated with purchased followers
Competitor benchmarking of audience quality across creators in a niche
Due diligence for social account purchases to estimate real vs. fake audience proportions

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

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-fake-follower-auditor","params":{"username":"zachking"},"maxResults":10}'

Request params

Field	Type	Required	Description
`username`	string	required	The public TikTok account to audit (with or without @).
`sampleSize`	integer	optional	How many followers to sample and score. Larger samples give more accurate fake-follower percentages. Max 1000.
`deepCheck`	boolean	optional	Also check each sampled follower's account creation date - brand-new accounts are a strong bot signal. Slower and billed as an extra event per follower.
`includeFollowerRows`	boolean	optional	Push one detailed row per sampled follower to the results, in addition to the summary row. Turn off for a summary-only run.

Each result contains

Field	Type	Description
`recordType`	string	Record Type
`username`	string	Username
`followerCount`	integer	Follower Count
`sampleSize`	integer	Sample Size
`fakeFollowerPct`	integer	Fake Follower Pct
`suspiciousPct`	integer	Suspicious Pct
`qualityGrade`	string	Quality Grade
`signalBreakdown`	object	—
`sampleStats`	object	—
`checkedAt`	string	Checked At

Use TikTok Fake Follower & Audience Quality Auditor from Claude, ChatGPT or Cursor

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. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "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"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "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
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

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-fake-follower-auditor","params":{"username":"zachking"},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "tiktok-fake-follower-auditor",
        "params": {"username":"zachking"},
        "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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