# Company Buying Intent & Funding Signal Tracker (Laya & JEV AI) (`eternallabs/company-buying-intent-funding-signal-tracker-laya-jev-ai`) Actor

Track B2B purchase intent: recent funding rounds, tech stack migrations, executive hiring, and vendor evaluation signals before competitors do.

- **URL**: https://apify.com/eternallabs/company-buying-intent-funding-signal-tracker-laya-jev-ai.md
- **Developed by:** [Jona](https://apify.com/eternallabs) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Buying Intent Finder — B2B Purchase Intent Telemetry

> **Catch buyers before they search for competitors. Surface verified commercial intent triggers.**

**Buying Intent Finder** detects empirical B2B buying signals—including fresh funding rounds, executive transitions, infrastructure migrations, vendor evaluation indicators, and tech stack upgrades. Powered by **Laya System-1 Decision Intelligence**, it ranks target accounts by commercial urgency so your sales team contacts them at the exact right moment.

***

#### Core Question Answered:

**Which target accounts are in an active buying cycle right now?**

***

#### Key Capabilities

- **Multi-Signal Telemetry**:
  - **Fresh Capital Infusions**: Tracks Seed through Series E+ funding events, new credit facilities, and recent capital allocations.
  - **Technology & Infrastructure Migrations**: Detects new cloud deployments, CRM/ERP rollouts, and infrastructure overhauls.
  - **Executive & Leadership Shifts**: Monitors new VP/C-suite appointments looking to make quick vendor changes in their first 90 days.
  - **Product Launches & Expansions**: Flags new product announcements, geographical expansions, and hiring surges.
- **Decision Engine Prioritization**:
  - **Intent Score (0–100)**: Composite ranking based on signal recency, velocity, and compounding triggers.
  - **Intent Tiers**: Transparently classifies companies into **Hot (80+)**, **Warm (50-79)**, and **Cold (<50)**.
  - **Actionable Playbooks**: Generates specific outreach angles (e.g. *"Reach out citing recent Series B to offer enterprise security scaling"*).
- **Actor Chaining Support**:
  - Directly feeds outputs into **AI Prospect Intelligence** (to discover specific buyers) and **Outreach Intelligence** (to draft tailored emails).

***

#### Example Input (JSON)

```json
{
  "industries": [
    "Fintech",
    "SaaS & Cloud",
    "Healthcare & Biotech",
    "E-commerce"
  ],
  "intentSignals": [
    "funding",
    "tech_change",
    "news_trigger",
    "job_signal"
  ],
  "minIntentScore": 30,
  "maxCompanies": 5,
  "lookbackDays": 90,
  "decisionEngine": "laya",
  "targetCompanies": [
    {
      "name": "Ramp",
      "website": "https://ramp.com",
      "industry": "Fintech"
    },
    {
      "name": "Retool",
      "website": "https://retool.com",
      "industry": "Developer Tools"
    },
    {
      "name": "Brex",
      "website": "https://brex.com",
      "industry": "Fintech"
    }
  ]
}
```

***

#### Example Output (JSON)

```json
{
  "company_name": "Ramp",
  "website": "https://ramp.com",
  "industry": "Fintech",
  "intent_score": 92,
  "intent_tier": "hot",
  "funding_detected": true,
  "funding_stage": "Series D",
  "tech_change_detected": true,
  "signal_summary": "Raised $150M Series D round within last 45 days. Concurrent expansion into enterprise procurement tooling with active Snowflake & Kubernetes integrations.",
  "recommended_action": "Reach out immediately citing Series D scale; emphasize enterprise security compliance and vendor onboarding velocity.",
  "signals": [
    {
      "signal_type": "funding",
      "evidence": "Announced $150M Series D funding led by Founders Fund.",
      "confidence": 0.98
    },
    {
      "signal_type": "tech_change",
      "evidence": "Recent deployment of enterprise data pipeline tools and AWS cloud expansion.",
      "confidence": 0.91
    }
  ],
  "news_triggers": [
    "Ramp launches automated procurement workflows for enterprise customers"
  ],
  "decision_engine": "laya",
  "confidence": 0.95,
  "observed_at": "2026-09-24T17:30:00Z"
}
```

***

#### How to Chain from Upstream Actors

1. Run **Business Opportunity Finder** to map out high-potential markets.
2. In **Buying Intent Finder**, enter the previous run's **Dataset ID** in the `upstreamDatasetIdOrUrl` input parameter.
3. Buying Intent Finder will automatically ingest the discovered organizations and analyze live buying triggers for each one.
4. Export the resulting high-intent accounts directly into **Outreach Intelligence** to generate multi-channel messaging sequences!

# Actor input Schema

## `targetCompanies` (type: `array`):

List of companies to evaluate buying intent for. Each entry: {name, website, industry}

## `industries` (type: `array`):

Filter by these industry verticals

## `intentSignals` (type: `array`):

Which signal types to collect: funding, tech\_change, news\_trigger, job\_signal, product\_launch

## `minIntentScore` (type: `integer`):

Only return companies with this minimum score (0-100)

## `maxCompanies` (type: `integer`):

Maximum number of companies to process

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

How many days back to check for signals

## `decisionEngine` (type: `string`):

Scoring engine: laya (default), jev, or rules

## `upstreamDatasetIdOrUrl` (type: `string`):

Apify dataset ID or URL from another actor (Business Opportunity Finder, Hiring Signal Finder, etc.)

## Actor input object example

```json
{
  "targetCompanies": [
    {
      "name": "Ramp",
      "website": "https://ramp.com",
      "industry": "Fintech"
    },
    {
      "name": "Retool",
      "website": "https://retool.com",
      "industry": "Developer Tools"
    },
    {
      "name": "Brex",
      "website": "https://brex.com",
      "industry": "Fintech"
    }
  ],
  "industries": [
    "Fintech",
    "SaaS & Cloud",
    "Healthcare & Biotech",
    "E-commerce"
  ],
  "intentSignals": [
    "funding",
    "tech_change",
    "news_trigger",
    "job_signal"
  ],
  "minIntentScore": 30,
  "maxCompanies": 10,
  "lookbackDays": 90,
  "decisionEngine": "laya"
}
```

# Actor output Schema

## `intent_signals` (type: `string`):

Full dataset of companies exhibiting buying intent signals, decay weighting, and surge triggers.

## `csv` (type: `string`):

Export downloadable CSV spreadsheet of intent signals and surge scores.

## `summary` (type: `string`):

Aggregated metrics including top surge companies, avg intent scores, and signal distribution.

# 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 = {
    "targetCompanies": [
        {
            "name": "Ramp",
            "website": "https://ramp.com",
            "industry": "Fintech"
        },
        {
            "name": "Retool",
            "website": "https://retool.com",
            "industry": "Developer Tools"
        },
        {
            "name": "Brex",
            "website": "https://brex.com",
            "industry": "Fintech"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("eternallabs/company-buying-intent-funding-signal-tracker-laya-jev-ai").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 = { "targetCompanies": [
        {
            "name": "Ramp",
            "website": "https://ramp.com",
            "industry": "Fintech",
        },
        {
            "name": "Retool",
            "website": "https://retool.com",
            "industry": "Developer Tools",
        },
        {
            "name": "Brex",
            "website": "https://brex.com",
            "industry": "Fintech",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("eternallabs/company-buying-intent-funding-signal-tracker-laya-jev-ai").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 '{
  "targetCompanies": [
    {
      "name": "Ramp",
      "website": "https://ramp.com",
      "industry": "Fintech"
    },
    {
      "name": "Retool",
      "website": "https://retool.com",
      "industry": "Developer Tools"
    },
    {
      "name": "Brex",
      "website": "https://brex.com",
      "industry": "Fintech"
    }
  ]
}' |
apify call eternallabs/company-buying-intent-funding-signal-tracker-laya-jev-ai --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eternallabs/company-buying-intent-funding-signal-tracker-laya-jev-ai"
        }
    }
}
```

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/2vjPJdRKo9iwZQ7FD/builds/9nvu8x8QkCQATq2YM/openapi.json