Local business intel for AI agents: audits, lead scoring, tech stack, prospecting.
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Scored across 8 tools
Each tool has a clearly distinct purpose: audit vs bulk audit, finding leads with specific conditions, searching, getting details, tech stack, and lead scoring. No overlap that would cause confusion.
All tool names follow a consistent verb_noun snake_case pattern (e.g., audit_website, find_no_booking, get_business_details). Verbs are descriptive and nouns clearly indicate the target.
With 8 tools, the set is well-scoped for a business intelligence server. It covers core operations without being bloated or insufficient.
The tools cover lead discovery, auditing, and scoring comprehensively. Minor gaps: no detailed audit breakdown beyond score, no export or note-saving functionality, but these are not core to the stated purpose.
Score a website 0-100 across SSL, mobile-readiness, speed, contact, booking.
Inputs: url (required). Returns: object
Audit up to 20 URLs concurrently. Results sorted worst-first (best leads first).
Inputs: urls (required). Returns: object
Businesses with a website but no online booking system. Big opportunity for SaaS pitches.
Inputs: city (required), niche (required), limit, state. Returns: object
Find businesses in a niche with NO website at all — hottest cold-outreach leads.
Inputs: city (required), niche (required), limit, state. Returns: object
Resolve a single business to phone, address, website, hours, rating.
Inputs: city (required), business_name (required). Returns: object
CMS, booking platform, email provider, analytics detected on a target URL.
Inputs: url (required). Returns: object
Composite 0-100 lead score combining audit + demand signal.
Inputs: city (required), business_name (required), niche. Returns: object
Find local businesses by niche + city. Yelp-backed; OSM fallback if Yelp not configured.
Inputs: city (required), niche (required), limit, state. Returns: object
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