Company Buying Signal Monitor

Finance & Company Data

Operated by Sourcelane✓ verified

Scores and ranks lists of companies for buying intent by detecting and aggregating signals such as hiring growth, funding events, leadership changes, and technology moves. The connector measures live hiring growth by scraping public careers boards (Greenhouse, Lever, Ashby) and comparing current open-role counts to a supplied baseline, accepts additional supplied signals (funding rounds, executive hires, tech changes), and computes a weighted numeric buying-intent score (weighted across funding, hiring growth, leadership, and technology). For each company it produces a ranked, sales-ready account record including a numeric score and categorical grade, signal count and full signal list with titles, types, dates and source URLs, plain-English reasons suitable for outreach, and a timestamped score.

Verified Sep 28, 12:10 AM

$0.01

per company

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Account prioritization — rank target accounts and focus outreach on the hottest opportunities
Outbound triggers — initiate sequences when a company’s hiring or signal profile indicates increased intent
Territory and ABM planning — score and monitor a full target account list on a schedule to observe trend-driven ranking changes
Sales and marketing alignment — provide SDRs with scored accounts and the reasons each account surfaced
CRM enrichment — append scores, grades, and human-readable reasons to account records for routing and reporting

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":"company-buying-signal-monitor","params":{"companies":[{"name":"Example Inc","atsSource":"greenhouse","atsBoard":"example"}]},"maxResults":10}'

Request params

Field	Type	Required	Description
`companies`	array	required	Companies with name and optional Greenhouse, Lever, or Ashby board details.
`signals`	array	optional	Optional funding, leadership, technology or hiring signals collected by your workflow.
`fixtureMode`	boolean	optional	Use deterministic sample data for testing.

Each result contains

Field	Type	Description
`company`	string	Company
`buyingIntentScore`	integer	Buying Intent Score
`grade`	string	Grade
`signalCount`	integer	Signal Count
`signals`	array	—
`reasons`	array	Reasons
`scoredAt`	string	Scored At

Use Company Buying Signal Monitor from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Which AI companies filed a Form D in the last two weeks, and how much did they raise?”

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":"company-buying-signal-monitor","params":{"companies":[{"name":"Example Inc","atsSource":"greenhouse","atsBoard":"example"}]},"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": "company-buying-signal-monitor",
        "params": {"companies":[{"name":"Example Inc","atsSource":"greenhouse","atsBoard":"example"}]},
        "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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