Sourcelane

Instagram Fake Follower Checker & Audience Audit

Instagram

Operated by Sourcelane✓ verified

Check any Instagram account for fake followers - bot score, audience quality grade, and follower authenticity report from a real follower sample.

Read full description

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

You give it

  • Usernamerequired

    The public Instagram account to audit.

Optional settings

Follower sample sizeDeep check (account age)

You get back

People & accounts
Audited username
Numbers & stats
Follower countSample size
Dates
Checked at
Other details
Record typeFake follower pctSuspicious pctQuality gradeSignal breakdownSample stats

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

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

FieldTypeRequiredDescription
usernamestringrequiredThe public Instagram account to audit (with or without @).
sampleSizeintegeroptionalHow many followers to sample and score. Larger samples give more accurate fake-follower percentages. Max 1000.
deepCheckbooleanoptionalAlso 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

FieldTypeDescription
recordTypestringRecord Type
auditedUsernamestringAudited Username
followerCountintegerFollower Count
sampleSizeintegerSample Size
fakeFollowerPctnumberFake Follower Pct
suspiciousPctnumberSuspicious Pct
qualityGradestringQuality Grade
signalBreakdownobject—
sampleStatsobject—
checkedAtstringChecked 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. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
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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