# B2B Sales Trigger Checker — Cited Buying-Signal Report (`rumi7911/sales-trigger-checker`) Actor

Give it a company name and get back a dated, cited report of recent buying-signal events — funding, exec changes, hiring surges, press, product launches, expansions — with a trigger score and a suggested outreach angle, backed by live Google Search grounding.

- **URL**: https://apify.com/rumi7911/sales-trigger-checker.md
- **Developed by:** [Muhammad Sohaib Roomi](https://apify.com/rumi7911) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $150.00 / 1,000 company checkeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## B2B Sales Trigger Checker — Cited Buying-Signal Report

Give it a company name and get back a dated, cited report of recent buying-signal events — funding rounds, executive changes, hiring surges, press mentions, product launches, expansions — with a trigger score and a suggested outreach angle. Runs live Google Search grounding through Gemini for every request, so it reflects what's actually happening right now, not stale training data.

### What you can use this for

- **SDR/BDR outbound** — know which accounts on your target list have a live reason to be contacted right now, and what to say.
- **RevOps/sales intelligence pipelines** — feed a list of target companies through this actor to prioritize outreach by trigger score.
- **Investor/market research** — track funding and leadership activity for a watchlist of companies.

### Input

| Field | Description | Default |
|---|---|---|
| `company` | The company to check | `Anthropic` |
| `companyUrl` | Company website (optional) — disambiguates a common name | — |
| `signalTypes` | Which signal categories to check (funding, executive-change, hiring-surge, press-mention, product-launch, expansion) | all |
| `lookbackDays` | How far back to look for signals | `90` |
| `model` | Gemini model | `gemini-3.8-flash` |
| `apiKey` | Your own Gemini API key (optional — leave blank to use the Actor's key) | — |

Every field has a working default — hit **Start** with no changes and you'll get a result.

### Output

```json
{
  "company": "Anthropic",
  "triggerScore": 78,
  "signals": [
    { "type": "funding", "date": "2026-08", "summary": "...", "confidence": "high" },
    { "type": "executive-change", "date": "2026-07", "summary": "...", "confidence": "medium" }
  ],
  "outreachAngle": "...",
  "sources": [{ "url": "https://...", "title": "..." }],
  "searchQueries": ["..."],
  "groundingUsed": true,
  "model": "gemini-3.8-flash",
  "verifiedAt": "2026-09-09T12:00:00.000Z"
}
```

### Pricing

Pay-per-event: **$0.15 per company checked**. No subscription, no minimum.

# Actor input Schema

## `company` (type: `string`):

The target company to check for recent buying-signal events.

## `companyUrl` (type: `string`):

Helps disambiguate a common company name.

## `signalTypes` (type: `array`):

Which kinds of buying signals to look for.

## `lookbackDays` (type: `integer`):

Only surface signals from roughly this many days back.

## `model` (type: `string`):

Which Gemini model to use for research and synthesis.

## `apiKey` (type: `string`):

Leave blank to use the Actor's own configured key.

## Actor input object example

```json
{
  "company": "Anthropic",
  "companyUrl": "",
  "signalTypes": [
    "funding",
    "executive-change",
    "hiring-surge",
    "press-mention",
    "product-launch",
    "expansion"
  ],
  "lookbackDays": 90,
  "model": "gemini-3.8-flash"
}
```

# Actor output Schema

## `triggerReports` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("rumi7911/sales-trigger-checker").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("rumi7911/sales-trigger-checker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call rumi7911/sales-trigger-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rumi7911/sales-trigger-checker"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/DrIGaJo5KJ1yYnQBt/builds/4cEQTaMYMOVFhybxC/openapi.json