YouTube Content Gap Finder

YouTube

Operated by Sourcelane✓ verified

A YouTube-focused competitor-analysis connector that discovers content topics your channel does not cover by clustering recent videos from a target channel and multiple competitor channels, ranking those uncovered topics by a computed opportunity score based on view performance, recency, and competitor validation; for each topic it returns a descriptive topic label, a concise explanation of what videos on that topic contain, whether your channel already covers it, quantitative signals comparing competitor performance to your channel median (counts, aggregates, ratios and recency), example and top-performing videos with titles/URLs and view counts, channels covering the topic, and multiple suggested video titles to act on.

Verified Sep 28, 12:10 AM

$0.05

per channel

Up to 20 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Content planning: convert competitor coverage into a ranked list of topics to produce next
Channel audits: produce a gap analysis with numeric performance signals for consultants or creators
Niche research: map topic coverage across a niche before launching or expanding a channel
Relaunchs and pivots: identify audience-watched topics that your channel currently lacks
Agency pitches: demonstrate which competitor topics generate views and propose specific video concepts

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-content-gap-finder","params":{"competitorChannels":["@t3dotgg","@FireshipIO"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`myChannel`	string	optional	The channel to find gaps for - a @handle, channel URL or UC… channel ID. Leave empty to simply map what the competitors cover.
`competitorChannels`	array	required	Up to 5 competitor channels, one per line, as @handles, channel URLs or UC… IDs.
`maxVideosPerChannel`	integer	optional	How many recent uploads to read from each channel. More videos means a broader picture and a slightly slower run.
`includeShorts`	boolean	optional	Also read each channel's Shorts tab. Useful when your competitors publish mainly short-form video.
`includeCoveredTopics`	boolean	optional	Return every topic found, not only the gaps. Handy for a full content map of your niche.
`maxTopics`	integer	optional	Maximum number of topic rows to return.
`model`	string	optional	Language model used to cluster the videos into topics.

Each result contains

Field	Type	Description
`topic`	string	Topic
`description`	string	Description
`whyItWorks`	string	Why It Works
`audienceIntent`	string	Audience Intent
`coveredByYou`	boolean	Covered By You
`opportunityScore`	integer	Opportunity Score
`competitorVideoCount`	integer	Competitor Video Count
`competitorTotalViews`	integer	Competitor Total Views
`competitorAvgViews`	integer	Competitor Avg Views
`competitorMedianViews`	integer	Competitor Median Views
`viewsVsYourMedian`	number	Views Vs Your Median
`coveringChannels`	array	Covering Channels
`newestVideoDaysAgo`	integer	—
`topVideoTitle`	string	—
`topVideoUrl`	string	—
`topVideoViews`	integer	—
`exampleVideos`	array	—
`yourVideosOnTopic`	array	—
`suggestedTitles`	array	—
`yourChannel`	string	—
`yourChannelMedianViews`	integer	—
`competitorChannels`	array	—
`model`	string	—
`analyzedAt`	string	—

Use YouTube Content Gap Finder 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-content-gap-finder","params":{"competitorChannels":["@t3dotgg","@FireshipIO"]},"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-content-gap-finder",
        "params": {"competitorChannels":["@t3dotgg","@FireshipIO"]},
        "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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