# Warm Intro & Referral Connection Finder (Laya & JEV AI) (`eternallabs/warm-intro-referral-connection-finder-laya-jev-ai`) Actor

Map warm introduction paths to target accounts via mutual investors, alumni networks, and board members. Turn cold outreach into trusted referrals.

- **URL**: https://apify.com/eternallabs/warm-intro-referral-connection-finder-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

## Referral Intelligence — Map Warm Introduction Paths

> **Warm introductions convert 4x higher than cold outreach. Discover who can introduce you.**

**Referral Intelligence** uncovers warm introduction paths, mutual connections, alumni overlaps, shared investors, and board ties into target accounts. Powered by **Laya System-1 Decision Intelligence**, it scores referral strength and crafts customized introduction request templates.

***

#### Core Question Answered:

**Who can introduce me to key decision-makers at this target company?**

***

#### Key Capabilities

- **Automated Network Mapping**:
  - Uncovers investor networks (shared VC/accelerators like Y Combinator, Sequoia, a16z).
  - Identifies university alumni and past company overlap (e.g. ex-Google, ex-Stripe, ex-Meta).
  - Maps board members, advisors, and corporate press affiliations.
- **Referral Strength Scoring (0–100)**:
  - Categorizes paths into **Tier 1 (Strong/Direct)**, **Tier 2 (Moderate/Indirect)**, and **Tier 3 (Weak/Affiliation)**.
  - Weights closeness of connection (co-investor vs. shared university).
- **Ready-to-Send Intro Requests**:
  - Automatically drafts the exact forwardable blurbs and introduction request emails to send to your mutual connector.
- **Actor Chaining**:
  - Direct upstream ingestion from **Business Opportunity Finder** or **AI Prospect Intelligence**.

***

#### Example Input (JSON)

```json
{
  "yourCompanyName": "Eternal Labs",
  "yourCompanyDomain": "eternallabs.ai",
  "connectionSources": [
    "investors",
    "alumni",
    "board",
    "advisors"
  ],
  "minReferralStrength": 30,
  "maxCompanies": 5,
  "decisionEngine": "laya",
  "targetCompanies": [
    {
      "name": "Stripe",
      "website": "https://stripe.com",
      "industry": "Fintech",
      "location": "San Francisco, CA"
    },
    {
      "name": "Datadog",
      "website": "https://datadoghq.com",
      "industry": "Cloud Monitoring",
      "location": "New York, NY"
    },
    {
      "name": "Figma",
      "website": "https://figma.com",
      "industry": "Design Software",
      "location": "San Francisco, CA"
    }
  ]
}
```

***

#### Example Output (JSON)

```json
{
  "target_company": "Stripe",
  "target_website": "https://stripe.com",
  "target_industry": "Fintech",
  "referral_strength_score": 88,
  "referral_tier": "strong",
  "paths_count": 3,
  "best_path": {
    "connector_name": "Sequoia Capital",
    "connector_role": "Shared Investor",
    "path_type": "investor",
    "strength_score": 92,
    "rationale": "Both companies share early-stage backing from Sequoia Capital."
  },
  "intro_request_blurb": "Hey [Connector], noticed you're connected to the leadership team at Stripe. We've built an AI lead discovery engine that solves their infrastructure scaling bottleneck — could you introduce me to their engineering leadership?",
  "all_paths": [
    {
      "connector_name": "Sequoia Capital",
      "connector_role": "Shared Investor",
      "path_type": "investor",
      "strength_score": 92
    },
    {
      "connector_name": "Stanford University Alumni",
      "connector_role": "Founding Team Overlap",
      "path_type": "alumni",
      "strength_score": 75
    }
  ]
}
```

# Actor input Schema

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

Companies to map referral paths into. Each: {name, website, industry, location}

## `yourCompanyName` (type: `string`):

Your company name — used to surface mutual connection opportunities

## `yourCompanyDomain` (type: `string`):

Your company website domain (e.g., yourcompany.com)

## `connectionSources` (type: `array`):

Which referral path types to check: alumni, investors, board, advisors, press

## `minReferralStrength` (type: `integer`):

Only return paths with this minimum strength score (0-100)

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

Maximum number of target companies to evaluate

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

Scoring engine: laya (default), jev, rules

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

Apify dataset ID or URL from another actor

## Actor input object example

```json
{
  "targetCompanies": [
    {
      "name": "Stripe",
      "website": "https://stripe.com",
      "industry": "Fintech"
    },
    {
      "name": "Figma",
      "website": "https://figma.com",
      "industry": "Design Tools"
    },
    {
      "name": "Notion",
      "website": "https://notion.so",
      "industry": "Productivity & SaaS"
    }
  ],
  "yourCompanyName": "Your Company",
  "connectionSources": [
    "alumni",
    "investors",
    "board",
    "advisors"
  ],
  "minReferralStrength": 20,
  "maxCompanies": 10,
  "decisionEngine": "laya"
}
```

# Actor output Schema

## `referrals` (type: `string`):

Full dataset of mapped warm referral paths, bridge entities, and strength scores.

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

Export CSV spreadsheet containing referral paths and warm intro angles.

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

Run metrics detailing total mapped companies, strong warm paths, and bridge networks.

# 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": "Stripe",
            "website": "https://stripe.com",
            "industry": "Fintech"
        },
        {
            "name": "Figma",
            "website": "https://figma.com",
            "industry": "Design Tools"
        },
        {
            "name": "Notion",
            "website": "https://notion.so",
            "industry": "Productivity & SaaS"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("eternallabs/warm-intro-referral-connection-finder-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": "Stripe",
            "website": "https://stripe.com",
            "industry": "Fintech",
        },
        {
            "name": "Figma",
            "website": "https://figma.com",
            "industry": "Design Tools",
        },
        {
            "name": "Notion",
            "website": "https://notion.so",
            "industry": "Productivity & SaaS",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("eternallabs/warm-intro-referral-connection-finder-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": "Stripe",
      "website": "https://stripe.com",
      "industry": "Fintech"
    },
    {
      "name": "Figma",
      "website": "https://figma.com",
      "industry": "Design Tools"
    },
    {
      "name": "Notion",
      "website": "https://notion.so",
      "industry": "Productivity & SaaS"
    }
  ]
}' |
apify call eternallabs/warm-intro-referral-connection-finder-laya-jev-ai --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eternallabs/warm-intro-referral-connection-finder-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/HioWrqadJjjSJMair/builds/OhVknPZn4T1jKd9fv/openapi.json