YouTube Channel Growth Analyzer

YouTube

Operated by Sourcelane✓ verified

Analyzes a YouTube channel's recent upload history to produce a compact, keyword-rich scorecard of growth and performance metrics. It derives upload cadence and lifetime publishing rate, computes performance statistics (average and median views, likes, comments), calculates engagement rate as reactions divided by views, identifies the day of week and UTC hour that correlate with highest median views, measures title-length statistics and their correlation with views, quantifies the share of short-form uploads (around 60 seconds or less), and computes a momentum score comparing recent versus older uploads plus an accelerating/steady/declining label; it also produces a reach-efficiency signal by relating average views to subscriber counts. The connector processes recent uploads within a configurable analysis window, applies statistical summaries and correlations across that window, and outputs one summarized record per channel suitable for sorting, filtering, and comparative analysis.

Verified Sep 28, 12:10 AM

$0.02

per channel

Up to 50 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Competitor analysis: benchmark rival channels on cadence, engagement, and momentum side by side
Influencer vetting: verify that a creator's recent videos still perform before sponsorship
Sponsorship and media buying: compare reach-efficiency and engagement across a shortlist of channels
Content strategy: identify best day/hour to publish and whether longer or shorter titles correlate with higher views
Trend spotting: surface channels with accelerating momentum early

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":"youtube-channel-growth-analyzer","params":{"channels":["@mkbhd","@mrbeast"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`channels`	array	required	YouTube channels to analyze. Accepts @handles (e.g. @mkbhd), full channel URLs (youtube.com/@handle, youtube.com/channel/UC..., /c/Name, /user/Name), or raw UC channel IDs.
`maxVideosAnalyzed`	integer	optional	How many of the most-recent uploads to analyze per channel. More videos give more accurate growth metrics but cost more API quota (5-200).

Each result contains

Field	Type	Description
`channelId`	string	Channel Id
`channelTitle`	string	Channel Title
`channelUrl`	string	Channel Url
`subscriberCount`	integer	Subscriber Count
`totalViews`	integer	Total Views
`totalVideos`	integer	Total Videos
`channelAgeDays`	integer	Channel Age Days
`uploadsPerWeek`	number	Uploads Per Week
`avgViews`	integer	Avg Views
`medianViews`	integer	Median Views
`avgLikes`	integer	Avg Likes
`avgComments`	integer	Avg Comments
`engagementRate`	number	—
`bestDayOfWeek`	string	—
`bestHourUTC`	integer	—
`avgTitleLength`	number	—
`titleLengthViewsCorr`	number	—
`shortsShare`	number	—
`momentumScore`	number	—
`momentumLabel`	string	—
`viewsPerSubscriber`	number	—
`videosPerMonthLifetime`	number	—
`oldestAnalyzedDate`	string	—
`newestAnalyzedDate`	string	—
`videosAnalyzed`	integer	—
`status`	string	—
`error`	null	—

Use YouTube Channel Growth Analyzer from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Get the transcript of this video and turn it into a blog outline: <url>”

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":"youtube-channel-growth-analyzer","params":{"channels":["@mkbhd","@mrbeast"]},"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": "youtube-channel-growth-analyzer",
        "params": {"channels":["@mkbhd","@mrbeast"]},
        "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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