YouTube Sponsorship & Brand Deal Tracker

YouTube

Operated by Sourcelane✓ verified

A YouTube sponsorship and brand-deal tracker that scans recent video descriptions to detect sponsor signals and extract brand intelligence: it finds sponsor links, affiliate links, UTM-tagged URLs, promo codes and discount text, and explicit sponsor phrases; follows and resolves link shorteners and redirect chains to reveal real destinations; classifies links by type (affiliate, UTM, direct, social); infers brand domains and probable brand names; and emits one structured record per detected sponsor signal (video × brand) including the inferred brand, raw and resolved links, link classification, extracted promo codes/discounts, matched sponsorship wording, which detection methods fired, and video/channel metadata such as titles, URLs, and publish dates.

Verified Sep 28, 3:56 AM

$0.012

per brand deal

Up to 83 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Competitor and market research — identify which brands sponsor creators in a niche and sponsorship frequency
Influencer vetting — verify a creator’s brand partnerships before deals
Affiliate and partnership intelligence — discover active affiliate programs and promo codes across a channel
Lead generation — build lists of brands investing in creator marketing
Media monitoring — track a creator’s sponsors over time

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":"youtube-sponsorship-tracker","params":{"channelInput":"@mkbhd","maxVideos":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`channelInput`	string	optional	A YouTube channel to scan: an @handle, a channel URL (youtube.com/@handle, /channel/UC..., /c/Name, /user/Name), or a raw UC channel id. Leave empty if you supply Video URLs instead.
`videoUrls`	array	optional	Optional explicit list of YouTube video URLs (or video IDs) to scan instead of a whole channel. If provided, the channel field is ignored.
`maxVideos`	integer	optional	How many of the channel's most-recent videos to scan for sponsor signals (1-200). Ignored when Video URLs are supplied. Capped at 83 per call.
`resolveShortLinks`	boolean	optional	Follow link shorteners (bit.ly, geni.us, amzn.to, etc.) to reveal the real destination brand domain. Slightly slower but gives cleaner brand attribution.

Each result contains

Field	Type	Description
`channelId`	string	Channel Id
`channelTitle`	string	Channel Title
`videoId`	string	Video Id
`videoUrl`	string	Video Url
`videoTitle`	string	Video Title
`publishedAt`	string	Published At
`brandDomain`	string	Brand Domain
`brandNameGuess`	string	Brand Name Guess
`link`	string	Link
`resolvedLink`	null	Resolved Link
`linkType`	string	Link Type
`promoCodes`	array	Promo Codes
`discount`	null	—
`matchedPhrase`	string	—
`signalTypes`	array	—

Use YouTube Sponsorship & Brand Deal Tracker 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://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":"youtube-sponsorship-tracker","params":{"channelInput":"@mkbhd","maxVideos":5},"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": "youtube-sponsorship-tracker",
        "params": {"channelInput":"@mkbhd","maxVideos":5},
        "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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