Operated by Sourcelane✓ verified
Analyze YouTube video comments into per-video audience insights. Sentiment breakdown, top keywords, requested topics, questions, and complaints.
Transforms YouTube video comment collections into a single audience insights report: sentiment analysis with positive/negative/neutral percentages and a consolidated sentiment score; extraction of top content keywords with counts; detection and tallying of viewer requests with examples; identification of highest-engaged questions from viewers; flagging and exemplifying recurring complaints (e.g., clickbait, length, audio); listing the most-liked comments with author and like counts; plus basic video context such as title, channel, view count, reported comment count, and how many comments were analyzed. Uses deterministic keyword- and sentiment-based heuristics driven by a hand-curated positive/negative lexicon and pattern matching for requests, questions, and complaints, producing reproducible, count- and example-oriented outputs suitable for audience analysis, content keyword discovery, and engagement prioritization.
Verified Sep 28, 3:56 AM
$0.08
per video
Up to 12 per call. Only pay for results returned; failed calls are refunded.
Content planning
Identify topics viewers request or discuss most
Audience research
Measure viewer sentiment and engagement trends at a glance
Competitor analysis
Analyze rival videos to uncover unmet audience demand
Community management
Surface top questions and complaints worth responding to
Creator vetting
Evaluate real audience reception before sponsorships or collaborations
List of YouTube video watch URLs or bare 11-character video IDs.
Optional settings
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
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":"youtube-comment-insights","params":{"videoUrls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]},"maxResults":10}'Request params
| Field | Type | Required | Description |
|---|---|---|---|
videoUrls | array | required | List of YouTube video watch URLs or bare 11-character video IDs. Supports youtu.be/ID, watch?v=ID, and shorts/ID formats. |
maxCommentsPerVideo | integer | optional | How many top-level comments to analyze per video (20-1000). Higher values give richer insights but use more quota and time. |
commentOrder | string | optional | Order in which comments are fetched: Relevance (top/most engaged comments) or Newest (most recent first). |
Each result contains
| Field | Type | Description |
|---|---|---|
videoId | string | Video Id |
videoUrl | string | Video Url |
videoTitle | string | Video Title |
channelTitle | string | Channel Title |
viewCount | integer | View Count |
commentCountReported | integer | Comment Count Reported |
commentsAnalyzed | integer | Comments Analyzed |
totalCommentLikes | integer | Total Comment Likes |
sentimentPositivePct | integer | Sentiment Positive Pct |
sentimentNegativePct | integer | Sentiment Negative Pct |
sentimentNeutralPct | integer | Sentiment Neutral Pct |
sentimentScore | number | Sentiment Score |
topKeywords | array | — |
topRequests | object | — |
topQuestions | array | — |
complaints | object | — |
mostLikedComments | array | — |
status | string | — |
error | null | — |
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. One click, then confirm.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"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"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"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
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://usesourcelane.com/openapi.jsonOne POST. Pass maxResults to cap cost.
curl -X POST https://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"youtube-comment-insights","params":{"videoUrls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]},"maxResults":10}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
import requests
res = requests.post(
"https://api.usesourcelane.com/v1/call",
headers={"Authorization": "Bearer sl_live_your_agent_key"},
json={
"listing": "youtube-comment-insights",
"params": {"videoUrls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]},
"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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