AI Lead Gen Agent β€” Automated B2B Prospecting API avatar

AI Lead Gen Agent β€” Automated B2B Prospecting API

Pricing

from $50.00 / 1,000 lead records

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AI Lead Gen Agent β€” Automated B2B Prospecting API

AI Lead Gen Agent β€” Automated B2B Prospecting API

AI-powered B2B lead generation β€” find and qualify prospects automatically. Web scraping + enrichment + scoring in one tool.

Pricing

from $50.00 / 1,000 lead records

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NexGenData

NexGenData

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AI Lead Gen Agent

Describe your ideal customer in plain English; the Actor keyword-matches it against a built-in directory of technology companies and returns the matches, each with its website verified live.

Output is a prospect list for your sales team. Company attributes come from a small built-in directory; the website check is performed live on every run. No emails are collected or verified. Use it in line with applicable outreach and privacy law.

πŸ“Š Sample Output

3 real rows delivered by AI Lead Gen Agent β€” Automated B2B Prospecting API β€” run MlPkXEfllJhnBHgai on build 0.0.92

companydomaincompany_urlindustrysize_rangeregion
Vercelvercel.comhttps://vercel.comDeveloper Tools201-500California
Apifyapify.comhttps://apify.comWeb Scraping Platform51-200Prague
Scrapflyscrapfly.iohttps://scrapfly.ioWeb Scraping API11-50Paris

Real rows from run MlPkXEfllJhnBHgai on build 0.0.92 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

βš™οΈ Sample inputs

This is the Store example input β€” the same input Apify's automated check runs β€” so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:

{
"icp_query": "AI developer-tools SaaS companies in the US",
"max_leads": 25,
"include_contacts": true
}

πŸ”§ Input reference

FieldTypeDefaultWhat it does
icp_querystring"AI developer tools SaaS"Describe your ideal customer profile. Keywords are matched against this Actor's built-in company directory (industry, category and tag words work best, e.g. 'AI developer tools Sa…
max_leadsinteger3Maximum number of leads to return.
include_contactsbooleanfalseKept for backwards compatibility. Contact discovery is NOT available in this build β€” 'contacts' is an empty list on every row and no contact charge applies.
notionConnectorstringOptional. Connect your Notion workspace and the leads are also written as a Notion page in the same run β€” the Actor never sees your Notion credentials. Authorize a Notion MCP conn…
notionParentIdstringOptional. The Notion page ID to create the page under. If blank, Notion creates a private page in your workspace.
supabaseConnectorstringOptional. Connect your own Supabase project and the leads are also inserted into a table in the same run β€” the Actor never sees your Supabase credentials. Authorize a write-scoped…
supabaseTablestring"nexgendata_leads"Target table in the public schema (created if it does not exist, with an id, a jsonb data column, and a scraped_at timestamp). Default: nexgendata_leads.
supabaseProjectIdstringYour Supabase project reference (e.g. abcdefgh...). Required unless your connector URL is already project-scoped. Find it in your project URL: supabase.com/dashboard/project/THIS_…
deliveryDedupbooleantrueWhen on (default), records already delivered in a previous run are not delivered again to the same destination β€” so scheduled runs only push new items. Turn off to deliver every r…

🧾 JSON sample record

One real record from run MlPkXEfllJhnBHgai (emails/phones masked, long text shortened):

{
"company": "Vercel",
"domain": "vercel.com",
"company_url": "https://vercel.com",
"linkedin_url": null,
"industry": "Developer Tools",
"size_range": "201-500",
"country": "US",
"region": "California",
"city": "San Francisco",
"tech_stack": [],
"contacts": [],
"funding_stage": null,
"last_funding_round": null,
"headcount_growth_90d": null,
"intent_signals": [],
"ai_summary": "Vercel (Developer Tools, San Francisco, US) matched your ICP on directory keywords; website checked live this run.",
"icp_query": "AI developer tools SaaS",
"website_status_code": 200,
"website_title": "Agentic Infrastructure - Vercel",
"website_checked_at": "2026-09-25T03:21:11.741985+00:00",
"source": "nexgendata built-in company directory + live website check",
"scrapedAt": "2026-09-25T03:21:11.742004+00:00"
}

πŸ’° Pricing

EventPrice (USD)When it is charged
Actor Start (apify-actor-start)$5e-05Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Lead record (apify-default-dataset-item)$0.05Single result in the default dataset.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 Γ— $0.05 = $5.00 plus the start fee.

More from the NexGenData Leads, contacts & enrichment family:

30 more in this family on the NexGenData Store page.

πŸ“Š What you get

Clean JSON, one row per matched company. Every row is a real company whose website was checked live during the run (a company whose site cannot be reached is skipped and not charged):

  • company, domain, company_url β€” the company and its website
  • industry, size_range, country, region, city β€” directory attributes
  • website_status_code, website_title, website_checked_at β€” the live check performed this run
  • ai_summary, icp_query, scrapedAt β€” why it matched and when
  • contacts, tech_stack, intent_signals, funding_stage, last_funding_round, headcount_growth_90d, linkedin_url β€” present for schema stability but empty/null: this build does not do contact discovery, enrichment or LinkedIn resolution

How matching works (read this): leads are keyword-matched against a built-in directory of 15 well-known technology companies. This Actor does not search the open web, and it does not call an LLM. If your ICP matches nothing in that directory, the run returns 0 rows with an explanatory message and charges no per-lead fee.

Pricing: $0.05 per lead row returned (Pay-Per-Event apify-default-dataset-item) β€” 20 leads per $1 β€” plus $0.00005 per actor-start GB-event. Runs that return no rows are charged no per-lead fee. If no matched company's website can be reached, the run fails with a status message rather than ending green and empty.

πŸ€– Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and run prospecting on demand.

Agentic payments (x402): Supports agentic payment via x402 β€” agents can call this actor with USDC, no API key required.

The lead-gen workflow chain β€” found leads? verify β†’ enrich β†’ push to CRM:

  1. Find: B2B Leads Finder Β· Company Email Finder Β· Person Email Finder Β· Website Contact Scraper Β· Yellow Pages
  2. Enrich: Company Enrichment Β· B2B Contact Enricher Β· Lead List Enricher Β· Website Tech & Contact Audit
  3. Verify & clean: Email Verification Β· Bulk Email Validator Β· Lead List Cleaner
  4. Deliver: Leads to Notion CRM

Front door β€” Sales Intelligence MCP: the sales-intelligence agent that fronts this whole cluster β†’ Sales Intelligence MCP


Public web & business-source data, assembled as sales-team prospect lists.