Techionik Local Lead Intel MCP

Techionik Local Lead Intel MCP lets AI agents turn a plain prompt or structured lead list into enriched local-business lead records. It visits public business websites, extracts useful contact signals, and returns outreach-ready JSON.

What it does

• Accepts a natural-language MCP prompt for agent-friendly use.
• Also accepts structured JSON for batch/API workflows.
• Returns stable dataset records with status, warnings, source URLs, and useful business fields.
• Keeps the workflow lightweight by using public pages and clear failure records.

Input

Use the prompt field when calling this as an MCP-style tool:

{
    "prompt": "Find contacts for local roofing companies from https://example.com. Return emails, phones, social links, confidence score, contact pages, and a short outreach note for a local SEO agency."
}

Structured fields remain available for API users who want explicit batch control.

Local testing

Run the unit tests and project validator from this actor folder:

npm test
npm run validate

Apify deployment

Before deployment, confirm the active Apify account is Techionik:

apify info
apify push

Marketplace publication is intentionally skipped until final business approval.

Output

Results are written to the default Apify dataset. Each record includes a status field, extracted signals, warnings when something could not be fetched, and the original source input for traceability.

Pricing

Recommended pricing: USD 3.00 per 1,000 enriched lead records. The buyer value is lead enrichment and outreach preparation, while the actor stays lightweight for public website checks.

Limitations

• Works on public pages only.
• Does not bypass logins, captchas, paywalls, or site restrictions.
• Some JavaScript-heavy sites may return partial data with a warning.
• Final Apify Store billing still needs to be selected during marketplace publication.