Pricing

Pay per event

Lead Enrichment Confidence Scorer

Score enriched leads on data confidence (0-100) with signal explanations, missing field detection, and recommended next actions. Works with any enriched lead dataset.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Developer tools

You can access the Lead Enrichment Confidence Scorer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "leads": [
12        {
13            "companyName": "Stripe",
14            "domain": "stripe.com",
15            "industry": "Financial Technology",
16            "companySize": "1001-5000",
17            "contactName": "Jane Smith",
18            "contactTitle": "VP of Engineering",
19            "email": "jane@stripe.com",
20            "emailStatus": "verified",
21            "phone": "+1-555-0123",
22            "linkedinUrl": "https://linkedin.com/in/janesmith",
23            "location": "San Francisco, CA",
24            "country": "US",
25            "leadScore": 88,
26            "dataCompleteness": 85,
27            "sources": [
28                "linkedin",
29                "crunchbase"
30            ],
31            "sourceCount": 2,
32            "tags": [
33                "hot-lead",
34                "enterprise"
35            ]
36        },
37        {
38            "companyName": "Acme Corp",
39            "domain": "acme.com",
40            "contactName": "Bob Jones",
41            "email": "bob@acme.com",
42            "emailStatus": "unverified",
43            "sources": [
44                "manual"
45            ],
46            "sourceCount": 1
47        },
48        {
49            "companyName": "TechStart",
50            "industry": "SaaS",
51            "contactTitle": "CEO",
52            "sources": [
53                "crunchbase"
54            ],
55            "sourceCount": 1
56        }
57    ],
58    "minConfidence": 0,
59    "includeDebugWeights": true
60};
61
62// Run the Actor and wait for it to finish
63const run = await client.actor("automation-lab/lead-enrichment-confidence-scorer").call(input);
64
65// Fetch and print Actor results from the run's dataset (if any)
66console.log('Results from dataset');
67console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
68const { items } = await client.dataset(run.defaultDatasetId).listItems();
69items.forEach((item) => {
70    console.dir(item);
71});
72
73// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Lead Enrichment Confidence Scorer API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Lead Enrichment Confidence Scorer API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Lead Enrichment Confidence Scorer API in Python

Lead Enrichment Confidence Scorer API through CLI

Lead Enrichment Confidence Scorer OpenAPI definition

Lead Enrichment Confidence Scorer API

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