Sourcelane

YouTube Creator Sponsorship Intelligence

YouTube

Operated by Sourcelane✓ verified

Analyzes lists of YouTube creators to qualify and rank prospects for sponsorship outreach by measuring real engagement and sponsorship behavior from recent uploads. The connector computes average views and a true engagement rate (likes plus comments divided by views, averaged across recent uploads), detects sponsored content via disclosure language in titles and descriptions, and tallies sponsorship frequency as both a count and percentage of recent videos. It extracts public business contact emails from channel descriptions, captures titles of videos that disclose paid partnerships or #ad, and combines engagement, reach, sponsorship experience, and contactability into a composite sponsorship fit score (0–100) with tier labels for shortlist filtering. Outputs are per-creator records containing channel basics, recent-performance metrics, sponsorship history and mentions, contact emails, fit score, and tier; it can process large lists in a single run and includes a deterministic sample mode for integration testing.

Verified Sep 28, 3:55 AM

$0.015

per creator

Up to 66 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":"creator-sponsorship-intelligence","params":{"channelIds":["UC_x5XG1OV2P6uZZ5FSM9Ttw"]},"maxResults":10}'

Request params

FieldTypeRequiredDescription
channelIdsarrayrequiredYouTube channel IDs to qualify for sponsorship outreach.
recentVideoCountintegeroptionalNumber of recent uploads to analyze for engagement and sponsorship disclosures.
fixtureModebooleanoptionalUse a deterministic sample creator without calling YouTube.

Each result contains

FieldTypeDescription
channelIdstringChannel Id
namestringName
countrystringCountry
subscribersintegerSubscribers
recentVideosAnalyzedintegerRecent Videos Analyzed
averageViewsintegerAverage Views
averageEngagementPercentnumberAverage Engagement Percent
sponsoredVideoCountintegerSponsored Video Count
sponsorshipRatePercentintegerSponsorship Rate Percent
previousSponsorMentionsarrayPrevious Sponsor Mentions
contactEmailsarrayContact Emails
sponsorshipFitScoreintegerSponsorship Fit Score
tierstring—

Use YouTube Creator Sponsorship Intelligence 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.

  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":"creator-sponsorship-intelligence","params":{"channelIds":["UC_x5XG1OV2P6uZZ5FSM9Ttw"]},"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": "creator-sponsorship-intelligence",
        "params": {"channelIds":["UC_x5XG1OV2P6uZZ5FSM9Ttw"]},
        "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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