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from $42.50 / 1,000 results

ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay

Scores pre-enriched companies against your Ideal Customer Profile using weighted signals. Returns a 0 to 100 fit score, A to D tier, and per-signal breakdown. Deterministic and LLM modes. Built for Clay enrichment and batch processing. MCP-ready for Claude Desktop and AI agents.

Pricing

from $42.50 / 1,000 results

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Mamba Labs

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8 days ago

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Lead generation

Automation

You can access the ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "company_domain": "stripe.com",
10    "scoring_config": {
11        "weights": {
12            "gtm_hiring_signal": 12,
13            "gtm_role_count_strong": 6,
14            "crm_detected": 6,
15            "seq_tool_detected": 5,
16            "uses_clay": 4,
17            "uses_hubspot": 3,
18            "uses_salesforce": 2,
19            "headcount_in_range": 8,
20            "employee_band_match": 8,
21            "revenue_in_range": 7,
22            "industry_match": 8,
23            "recently_funded": 9,
24            "well_funded": 5,
25            "social_presence": 4,
26            "strong_social_following": 4,
27            "active_hiring_volume": 5,
28            "keyword_signal_match": 4,
29        },
30        "headcount_range": {
31            "min": 50,
32            "max": 5000,
33        },
34        "target_industries": [
35            "B2B Software",
36            "SaaS",
37            "Developer Tools",
38            "MarTech",
39            "Fintech",
40            "Professional Services",
41        ],
42        "target_employee_bands": [
43            "11-50",
44            "51-200",
45            "201-500",
46            "501-1000",
47            "1001-5000",
48        ],
49        "revenue_range": {
50            "min": 1000000,
51            "max": 1000000000,
52        },
53        "min_gtm_roles": 2,
54        "min_total_followers": 1000,
55        "min_social_platforms": 2,
56        "min_job_count": 3,
57        "min_keyword_matches": 1,
58        "min_funding_amount": 1000000,
59    },
60    "template": "full_signal",
61    "tier_thresholds": {
62        "tier_a": 80,
63        "tier_b": 60,
64        "tier_c": 40,
65    },
66    "funded_within_days": 540,
67    "gtm_hiring_signal": "true",
68    "gtm_role_count": "8",
69    "uses_clay": "true",
70    "crm_detected": "true",
71    "seq_tool_detected": "true",
72    "headcount": "3000",
73    "employee_band": "1001-5000",
74    "revenue_estimate": "50000000",
75    "latest_funding_amount": "50000000",
76    "funding_stage": "series_b",
77    "industry": "Fintech",
78    "social_platforms_found": "5",
79    "total_followers": "1490000",
80    "has_linkedin": "true",
81    "job_count": "12",
82    "keyword_match_count": "3",
83}
84
85# Run the Actor and wait for it to finish
86run = client.actor("mambalabs/icp-account-lead-scoring-fit-scorer-0-100-for-clay").call(run_input=run_input)
87
88# Fetch and print Actor results from the run's dataset (if there are any)
89print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
90for item in client.dataset(run["defaultDatasetId"]).iterate_items():
91    print(item)
92
93# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

ICP Fit Scorer for Outbound Lead Qualification API in Python

The Apify API client for Python is the official library that allows you to use ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay API in JavaScript

ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay API through CLI

ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay OpenAPI definition

ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay API

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Combines GTM hiring signals and tech stack detection into one flat Clay-ready row with composite score, recommended action, and plain-English summary. Runs two sub-actors in a single call. Built for Clay enrichment and outbound qualification. MCP-ready for Claude Desktop and AI agents.

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Instagram Lead Qualifier - Profile Fit Scoring

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Score Instagram profiles as outreach and partnership leads. Get niche, account type, brand safety, a fit score against your brand brief, and a ready to send opening line for each profile.

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FitScore - AI Lead Qualification and ICP Scoring

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Score leads against your ICP instantly. Get a fit score (0-100), top 3 predicted objections with rebuttals, recommended sales approach, and a personalized first message.

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Buyer Fit Brief API - ICP Scoring for Lead Datasets

webdata_labs/buyer-fit-brief-api

[💵 $2.00 / 1K] Score Apify lead datasets against your ICP and return ranked buyer-fit briefs with matched signals, disqualification flags, pain points, and outreach angles.

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Domain to LinkedIn URL Resolver Clay-Ready Company URL

mambalabs/domain-to-linkedin-url-resolver

Resolves a company domain to its LinkedIn company URL via pattern matching and web search. Fixes the 15-20% miss rate in Clay native enrichment. Flat output with LinkedIn URL, employee count, industry, social URLs, and confidence score. MCP-ready for Claude Desktop and AI agents.

Mamba Labs

261

4.0

AI Lead Enrichment Pipeline - Email, Verify, Score & Send

luckborn/ai-lead-enrichment-pipeline

Turn a name + company into a decision-ready sales lead. Multi-step waterfall: email discovery -> MX/SMTP verification -> company enrichment -> AI fit scoring -> send decision. Deterministic and auditable. 5-47x cheaper than Clay.