# B2B Leads & Buying Signal Enricher | Clay, n8n & MCP Ready (`ultra-liquid/b2b-lead-signal-enricher`) Actor

Extract company tech-stack and hiring buying-intent signals, score ICP fit, and generate zero-cliche 2-line B2B outbound icebreakers for Clay, Make, and n8n.

- **URL**: https://apify.com/ultra-liquid/b2b-lead-signal-enricher.md
- **Developed by:** [Vadim Polansk](https://apify.com/ultra-liquid) (community)
- **Categories:** AI, Lead generation, Automation
- **Security:** Limited permissions
- **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $40.00 / 1,000 enriched b2b lead signal & verified icebreakers

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?

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

## B2B Buying-Intent Signal & Cold Icebreaker Enricher (`b2b-lead-signal-enricher`)

> **Pay-Per-Event (PPE) AI & Data Enrichment Actor** — No monthly subscription required. Pay only for verified dataset items pushed to your output.

### Why Use `b2b-lead-signal-enricher`?

- **Target Use Case**: B2B Outbound Agencies, Clay.com Tables, Apollo/Instantly Workflows
- **Sub-Millisecond Quality Gate (`borz-s45-tc-07`)**: Built-in `0.34ms` neural quality pre-gate filters out boilerplate, cookie banners, and low-signal noise before emitting billable dataset items.
- **Live URL & Domain Fetching**: Pass raw URLs (`https://...`), company domains (`stripe.com`), or raw text excerpts — the actor automatically fetches live page titles, metadata, and body signals when a URL/domain is provided.
- **Ready for AI Agents, MCP, n8n, Make.com & Clay**: Outputs strict, deterministic JSON schemas with an interactive **Overview Table** view.

***

### Input Example (`JSON`)

```json
{
  "items": [
    "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
    "Noticed Acme FinTech just added Stripe Radar + Socure to checkout while expanding into Brazil PIX; we cut false-positive 3DS step-ups on Latin American BINs by 41%.",
    "Your Q3 changelog shipped pgvector hybrid search across 8M SKUs; our quantized HNSW index reduces p99 recall latency from 180ms to 19ms without adding RAM."
  ]
}
```

***

### Output Example (`Dataset Item`)

```json
{
  "item_index": 1,
  "input_item": "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
  "live_fetched_title": "Verified Live Signal Context",
  "enriched_output": {
    "task_class": "TC-07_APIFY_B2B_INTENT_ENRICHER",
    "signal_category": "HIGH_INTENT_VERIFIED",
    "actionable_summary": "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
    "recommended_next_action": "Route directly to CRM / RAG vector index / automated sequence",
    "token_efficiency_ratio": 0.84
  },
  "borz_gate": {
    "head_id": "borz-s45-tc-07",
    "pred_prob": 0.964,
    "passed_local_gate": true,
    "inference_ms": 0.012
  },
  "ppe_event_billed": "apify-default-dataset-item"
}
```

***

### Quick Integration Guides

#### 1. Python (`apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ultra-liquid/b2b-lead-signal-enricher").call(run_input={
  "items": [
    "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
    "Noticed Acme FinTech just added Stripe Radar + Socure to checkout while expanding into Brazil PIX; we cut false-positive 3DS step-ups on Latin American BINs by 41%.",
    "Your Q3 changelog shipped pgvector hybrid search across 8M SKUs; our quantized HNSW index reduces p99 recall latency from 180ms to 19ms without adding RAM."
  ]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### 2. n8n / Make.com / Clay HTTP Webhook

```bash
curl -X POST "https://api.apify.com/v2/acts/ultra-liquid~b2b-lead-signal-enricher/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "items": [
    "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
    "Noticed Acme FinTech just added Stripe Radar + Socure to checkout while expanding into Brazil PIX; we cut false-positive 3DS step-ups on Latin American BINs by 41%.",
    "Your Q3 changelog shipped pgvector hybrid search across 8M SKUs; our quantized HNSW index reduces p99 recall latency from 180ms to 19ms without adding RAM."
  ]
}'
```

# Actor input Schema

## `items` (type: `array`):

List of URLs, company domains, or text excerpts to fetch, filter via the 0.34ms Borz S4.5 neural gate, and enrich into structured JSON.

## Actor input object example

```json
{
  "items": [
    "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
    "Noticed Acme FinTech just added Stripe Radar + Socure to checkout while expanding into Brazil PIX; we cut false-positive 3DS step-ups on Latin American BINs by 41%.",
    "Your Q3 changelog shipped pgvector hybrid search across 8M SKUs; our quantized HNSW index reduces p99 recall latency from 180ms to 19ms without adding RAM."
  ]
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `overview` (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 = {
    "items": [
        "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
        "Noticed Acme FinTech just added Stripe Radar + Socure to checkout while expanding into Brazil PIX; we cut false-positive 3DS step-ups on Latin American BINs by 41%.",
        "Your Q3 changelog shipped pgvector hybrid search across 8M SKUs; our quantized HNSW index reduces p99 recall latency from 180ms to 19ms without adding RAM."
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ultra-liquid/b2b-lead-signal-enricher").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 = { "items": [
        "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
        "Noticed Acme FinTech just added Stripe Radar + Socure to checkout while expanding into Brazil PIX; we cut false-positive 3DS step-ups on Latin American BINs by 41%.",
        "Your Q3 changelog shipped pgvector hybrid search across 8M SKUs; our quantized HNSW index reduces p99 recall latency from 180ms to 19ms without adding RAM.",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ultra-liquid/b2b-lead-signal-enricher").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 '{
  "items": [
    "Saw your engineering team is migrating 14 microservices from AWS ECS to Kubernetes while hiring 3 SREs—our zero-agent eBPF profiler cuts pod OOM restarts by 62% in 10 minutes.",
    "Noticed Acme FinTech just added Stripe Radar + Socure to checkout while expanding into Brazil PIX; we cut false-positive 3DS step-ups on Latin American BINs by 41%.",
    "Your Q3 changelog shipped pgvector hybrid search across 8M SKUs; our quantized HNSW index reduces p99 recall latency from 180ms to 19ms without adding RAM."
  ]
}' |
apify call ultra-liquid/b2b-lead-signal-enricher --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ultra-liquid/b2b-lead-signal-enricher"
        }
    }
}
```

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/javzhJIjNVfibS1Y8/builds/ptcecacTzdFMsSxXK/openapi.json