Sourcelane

X (Twitter) Reply Network Analyzer

X (Twitter)

Operated by Sourcelane✓ verified

A conversation-network analyzer for X (Twitter) accounts that maps outbound interactions by sampling an account's recent posts (including replies) to identify and rank the accounts it replies to, quotes, retweets, and mentions most; calculates activity breakdown between original posts, replies and self-threads; computes response-time metrics (median, average, and shares within short intervals); measures reply concentration toward top contacts and reply engagement (average likes on replies vs originals); assigns interaction scores based on interaction types and ranks contacts by that score; and returns per-contact interaction records with counts, interaction score and share, timing (median response and first/last interaction), engagement statistics, a sample reply and basic profile metadata. The analyzer counts quotes/retweets/mentions separately, derives a ranked contact list from weighted interactions, measures response delay when the parent post is available, and operates without requiring login or cookies.

Verified Sep 28, 3:56 AM

$0.25

per report

Up to 4 per call. Only pay for results returned; failed calls are refunded.

What people use it for

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":"x-reply-network-analyzer","params":{"username":"elonmusk","maxTweets":4},"maxResults":10}'

Request params

FieldTypeRequiredDescription
usernamestringrequiredThe X (Twitter) account to analyze (with or without @; profile URLs work too).
maxTweetsintegeroptionalHow many of the account's most recent posts (replies included) to sample. More posts give a fuller picture of who they interact with. Capped at 4 per call.
topNintegeroptionalHow many of the most-interacted-with accounts to output as individual rows (ranked by interaction score).

Each result contains

FieldTypeDescription
typestringType
analyzedUsernamestringAnalyzed Username
userIdstringUser Id
namestringName
followersCountintegerFollowers Count
followingCountintegerFollowing Count
postsAnalyzedintegerPosts Analyzed
timeRangeobject—
breakdownobject—
sharesobject—
uniqueAccountsInteractedWithintegerUnique Accounts Interacted With
uniqueAccountsRepliedTointegerUnique Accounts Replied To
topAccountsSharenumberTop Accounts Share
replyConcentrationstringReply Concentration
responseTimeobject—
replyEngagementobject—
repliesPerDayintegerReplies Per Day
topRepliedToarray—
topQuotedarray—
topRetweetedarray—
topMentionedarray—

Use X (Twitter) Reply Network 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.

  1. 1Copy your personal connector URL
  2. 2In Claude open Settings → Connectors → Add custom connector
  3. 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":"x-reply-network-analyzer","params":{"username":"elonmusk","maxTweets":4},"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": "x-reply-network-analyzer",
        "params": {"username":"elonmusk","maxTweets":4},
        "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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