X (Twitter) Audience Overlap Analyzer

X (Twitter)

Operated by Sourcelane✓ verified

A tool that compares follower bases of multiple X (Twitter) accounts to quantify audience overlap and produce enriched profile data for shared followers. It performs pairwise set comparisons of follower lists (using a configurable sample of recent followers), returning per-pair overlap metrics such as shared follower counts, asymmetric overlap percentages, and a symmetric Jaccard similarity score, along with true follower totals, how many followers were analyzed per account, and a partial-analysis flag when sampling caps are reached. Optionally it enriches each shared follower with profile metadata—display name and username, verification status, bio and location, follower/following counts, total posts, account creation date, profile image and profile URL—yielding structured records for overlap summaries and enriched shared-profile entries.

Verified Sep 28, 12:10 AM

$0.50

per report

Up to 2 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Influencer vetting — check how much an influencer's audience overlaps yours before paying for a collab; low overlap = more new reach
Competitor analysis — measure how much audience you share with rivals and who those shared followers are
Partnership scouting — find accounts whose audiences complement (not duplicate) yours
Ad targeting research — identify the engaged accounts that follow multiple players in your niche
M&A / creator due diligence — verify claimed audience uniqueness with real data

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://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"x-audience-overlap-analyzer","params":{"usernames":["nasa","spacex"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`usernames`	array	required	2 to 5 X (Twitter) usernames (with or without @) or profile URLs. Every pair is compared.
`maxFollowersPerAccount`	integer	optional	How many of each account's most recent followers to analyze. Set 0 for the maximum (up to 250,000 most recent followers per account).
`sampleSharedProfiles`	integer	optional	For each pair, fetch full profile details for up to this many shared followers. Set 0 to output only the overlap summary.

Each result contains

Field	Type	Description
`recordType`	string	Record Type
`accountA`	string	Account A
`accountB`	string	Account B
`accountAFollowerTotal`	integer	Account AFollower Total
`accountBFollowerTotal`	integer	Account BFollower Total
`accountAFollowersAnalyzed`	integer	Account AFollowers Analyzed
`accountBFollowersAnalyzed`	integer	Account BFollowers Analyzed
`sharedFollowerCount`	integer	Shared Follower Count
`overlapPctOfA`	number	Overlap Pct Of A
`overlapPctOfB`	number	Overlap Pct Of B
`jaccardPct`	number	Jaccard Pct
`analysisIsPartial`	boolean	Analysis Is Partial
`checkedAt`	string	—

Use X (Twitter) Audience Overlap Analyzer from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Find the 50 most-liked tweets about 'MCP servers' this month and summarise the takes.”

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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"x-audience-overlap-analyzer","params":{"usernames":["nasa","spacex"]},"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://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "x-audience-overlap-analyzer",
        "params": {"usernames":["nasa","spacex"]},
        "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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