Instagram Fake Follower Checker & Audience Audit

Instagram

Operated by Sourcelane✓ verified

Performs an Instagram audience audit by sampling real followers and applying bot-detection signals to quantify audience authenticity. The connector samples an account's follower list (up to a large sample), scores each sampled follower on proven bot signals (missing profile picture, zero posts, anomalous follow ratios, machine-generated or spammy handles, empty bios, and optional account-age checks), and produces a summary fake-follower percentage and suspicious percentage, an audience quality grade (A–D), a signal breakdown and sample statistics, plus per-follower evidence including a numeric bot score (0–100), categorical verdicts, fired flags, basic account metrics and profile link.

Verified Sep 28, 3:55 AM

$0.99

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 sponsorships or partnerships
Agency audits of creator rosters and audience quality reporting
Brand safety checks to verify partner account authenticity
Competitor benchmarking of audience quality across niche accounts
Due diligence for account purchases to assess real vs. purchased followers

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

Request params

Field	Type	Required	Description
`username`	string	required	The public Instagram 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.

Each result contains

Field	Type	Description
`recordType`	string	Record Type
`auditedUsername`	string	Audited 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 Instagram Fake Follower Checker & Audience Audit from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Pull the last 20 posts from @natgeo and tell me which formats get the most engagement.”

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":"instagram-fake-follower-auditor","params":{"username":"natgeo"},"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": "instagram-fake-follower-auditor",
        "params": {"username":"natgeo"},
        "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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