Sourcelane

Company Buying Signal Monitor

Finance & Company Data

Operated by Sourcelane✓ verified

Score company buying intent from hiring growth, funding, leadership and technology-change signals.

Read full description

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, 3:55 AM

$0.01

per company

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

What people use it for

You give it

  • Companiesrequired

    Companies with name and optional Greenhouse, Lever, or Ashby board details.

  • Supplied signals

    Optional funding, leadership, technology or hiring signals collected by your workflow.

Optional settings

Fixture mode

You get back

Numbers & stats
Buying intent scoreSignal count
Dates
Scored at
Other details
CompanyGradeSignalsReasons

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

Request params

FieldTypeRequiredDescription
companiesarrayrequiredCompanies with name and optional Greenhouse, Lever, or Ashby board details.
signalsarrayoptionalOptional funding, leadership, technology or hiring signals collected by your workflow.
fixtureModebooleanoptionalUse deterministic sample data for testing.

Each result contains

FieldTypeDescription
companystringCompany
buyingIntentScoreintegerBuying Intent Score
gradestringGrade
signalCountintegerSignal Count
signalsarray—
reasonsarrayReasons
scoredAtstringScored 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. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
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":"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://api.usesourcelane.com/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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