X (Twitter) Influencer Analytics

X (Twitter)

Operated by Sourcelane✓ verified

Analyzes recent public X/Twitter activity for a given account to produce influencer analytics and engagement metrics: a profile snapshot (followers, following, total tweets, bio, location, verification status, account age), computed engagement rate based on average engagement per original tweet divided by follower count (engagement = likes + retweets + replies + quotes + bookmarks), per-account averages and medians for likes/retweets/replies/quotes/bookmarks and views across recent original tweets, reach metrics including average views and views-to-followers percentage, posting behavior metrics such as tweets-per-week and share of replies/retweets/quote tweets, and identification of top-performing content and top hashtags (top recent tweets with URLs). The connector derives metrics from the account's recent original tweets and excludes the account's retweets when measuring its own content.

Verified Sep 28, 3:56 AM

$0.10

per result

Up to 10 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Influencer vetting — verify an influencer's real engagement rate before paying for a campaign
Creator pricing — benchmark accounts against each other with identical, comparable metrics
Competitor analysis — track rivals' posting frequency, engagement, and best-performing content
Lead scoring — prioritize outreach to accounts with an active, engaged audience
Self-audit — measure your own account's performance over time with scheduled runs

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":"x-influencer-analytics-scraper","params":{"usernames":["mkbhd"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`usernames`	array	required	One or more X (Twitter) usernames (with or without @) or profile URLs. One analytics report is produced per account.
`tweetsToAnalyze`	integer	optional	How many recent tweets to analyze per account (20-1000). More tweets = more accurate averages but a longer, costlier run.

Each result contains

Field	Type	Description
`username`	string	Username
`userId`	string	—
`fullName`	string	—
`bio`	string	—
`location`	string	—
`isBlueVerified`	boolean	—
`verifiedType`	null	—
`profilePicture`	string	Avatar
`profileUrl`	string	Profile
`followersCount`	integer	Followers
`followingCount`	integer	—
`totalTweetsCount`	integer	—
`accountCreatedAt`	string	—
`accountAgeDays`	integer	—
`tweetsAnalyzed`	integer	—
`originalTweetsAnalyzed`	integer	—
`analysisWindowDays`	number	—
`oldestTweetAt`	string	—
`newestTweetAt`	string	—
`avgLikes`	number	Avg likes
`avgRetweets`	number	Avg retweets
`avgReplies`	number	Avg replies
`avgQuotes`	number	—
`avgBookmarks`	number	—
`avgViews`	number	Avg views
`medianLikes`	integer	—
`avgEngagementPerTweet`	number	—
`engagementRatePct`	number	Engagement rate %
`viewsToFollowersPct`	number	—
`tweetsPerWeek`	number	Tweets / week
`replyPct`	number	—
`retweetPct`	integer	—
`quotePct`	number	—
`topHashtags`	array	Top hashtags
`topTweets`	array	—
`checkedAt`	string	—

Use X (Twitter) Influencer Analytics 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://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-influencer-analytics-scraper","params":{"usernames":["mkbhd"]},"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-influencer-analytics-scraper",
        "params": {"usernames":["mkbhd"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

Reviews

—

0 reviews

Leave a review

Loading reviews…