Explorium MCP + Stream Deck

Provides standardized parameter values that MUST be used in fetch-entities filter operations and bombora-intent enrichment. This tool should be called FIRST before searches or enrichments that require these specific field values. Query rules (critical): - Pass exactly one concept per call: a single word or short phrase (≤100 characters). - Never pack comma-separated or space-joined lists (e.g. "defense, aviation, medical devices") into one query — that fails. - For multiple concepts, call autocomplete once per concept and merge the returned values. Supported Fields (call this tool to get valid values): - naics_category: NAICS industry codes - linkedin_category: LinkedIn industry categories - company_tech_stack_tech: Specific technologies - job_title: Job titles - interests: Professional interests for prospect filters - skills: Professional skills for prospect filters - business_intent_topics: Bombora intent taxonomy strings for fetch filters and enrich-business bombora-intent parameters.topics (prefer ≥12 topics) Fields NOT Requiring Autocomplete: These fields have fixed enum values or use standard codes directly: - country_code: Use ISO Alpha-2 codes (e.g., "US", "IL") - company_country_code: Use ISO Alpha-2 codes (e.g., "US", "IL") - region_country_code: Use ISO 3166-2 codes (e.g., "US-NY", "IL-TA") - company_region_country_code: Use ISO 3166-2 codes (e.g., "US-NY", "IL-TA") - website_keywords: Use free-text keywords directly - Enum fields: See available values in fetch-entities description Technical Requirement: Search operations using autocomplete-required filters will fail without valid values from this tool first. Search Tips: - For SaaS companies: Use the keyword 'software' Returns: List of valid, standardized values that must be used in search filter parameters

Enriches business data enrichment calls. Requires business IDs as input. Input Requirements: - business_ids: Array of Explorium business IDs (from match-business or fetch-businesses) - enrichments: enrichment types to retrieve - parameters: Optional settings for specific enrichments IMPORTANT: For comprehensive company information requests, include ALL relevant enrichments in a single call (e.g., for "tell me about this company" use multiple enrichments: firmographics, technographics, funding-and-acquisitions, workforce-trends, linkedin-posts to provide complete intelligence) Available Enrichments: - firmographics: Basic company info (name, description, website, location, industry, size, revenue) - technographics: Complete technology stack used by the business - company-ratings: Employee satisfaction and company culture ratings - financial-metrics: Financial data for public companies only (requires date parameter in ISO format: "2024-01-01T00:00") - funding-and-acquisitions: Funding history, investors, IPO, acquisitions - challenges: Business challenges and risks from SEC filings - competitive-landscape: Market position and competitors from SEC filings - strategic-insights: Strategic focus and value propositions from SEC filings - workforce-trends: Department composition and hiring trends - linkedin-posts: Company LinkedIn posts and engagement metrics - website-changes: Website content changes over time - website-keywords: Search for specific keywords on company websites (requires keywords parameter: array of terms - comma-separated terms within strings enable AND logic) - webstack: Website-specific technologies and web infrastructure components detected on company websites - company-hierarchies: Corporate hierarchy including parent company, ultimate parent, subsidiaries, and full organization tree (JSON format) - bombora-intent: Company-level buying intent from Bombora weekly data (surging research topics). Always call autocomplete first with field=business_intent_topics to resolve topics. Prefer ≥12 topics for meaningful level_of_intent. Returns intent_topics (score ≥ threshold), level_of_intent, topic_count, date_stamp. Interpret level_of_intent: In-Depth Research (>25% topics surging), Active Research (5–25%), Early Research (<5%). If topic fields are null, the company has no available intent data for that week. Parameters: - date: ISO 8601 format for financial-metrics (e.g., "2024-01-01T00:00") - keywords: Array of search terms for website-keywords - topics: Array of Bombora "category: topic" strings for bombora-intent (from autocomplete) - min_score: Optional integer > 60 for bombora-intent (default 60 when omitted) Alternative Tools: - For finding specific employees or company leadership information, use fetch-prospects with job_level filters (e.g., "c-suite" for c-level) instead of firmographics or strategic-insights enrichments Returns: Combined structured data from all requested enrichments Example: `` { "business_ids": ["8adce3ca1cef0c986b22310e369a0793", "340c8040bd50cbab9c7df718bbe51cc9"], "enrichments": ["firmographics", "technographics", "funding-and-acquisitions"], "parameters": null } ``

Enriches prospect data using up to 3 parallel enrichment calls. Requires prospect IDs as input. Input Requirements: - prospect_ids: Array of Explorium prospect IDs (from match-prospects or fetch-prospects) - enrichments: 1-3 enrichment types to retrieve - parameters: Optional settings for specific enrichments IMPORTANT: For comprehensive prospect information requests, include ALL relevant enrichments in a single call (e.g., for "tell me about this person" use multiple enrichments: profiles, contacts, linkedin-posts to provide complete intelligence) Available Enrichments: - contacts: Professional and personal email addresses, phone numbers; optional parameters.contact_types as ["email"], ["phone"], or ["email","phone"] (omit to request both) - linkedin-posts: Post content, engagement metrics, creation dates - profiles: Full name, demographics, location, role details, work experience, education Returns: Combined structured data from all requested enrichments Example: `` { "prospect_ids": ["edf268ac410ff3ba9ca9cc67b065664f38201984", "5b486640efabe6f8bb8cf446e80169ba4a1c5ad8"], "enrichments": ["contacts", "profiles"], "parameters": { "contact_types": ["email"] } } ``

Searches for businesses using filter criteria. Supports combining multiple filters in a single request for optimal performance. Filter Types: Enum-Based Filters (use values directly from the lists below): - company_revenue: List[CompanyRevenue] - Revenue range in USD - Available values: "0-500K", "500K-1M", "1M-5M", "5M-10M", "10M-25M", "25M-75M", "75M-200M", "200M-500M", "500M-1B", "1B-10B", "10B-100B", "100B-1T", "1T-10T", "10T+" - company_age: List[CompanyAge] - Company age in years - Available values: "0-3", "3-6", "6-10", "10-20", "20+" - company_size: List[NumberOfEmployeesRange] - Employee count range - Available values: "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+" - number_of_locations: List[NumberOfLocations] - Number of offices - Available values: "0-1", "2-5", "6-20", "21-50", "51-100", "101-1000", "1001+" - company_tech_stack_category: List[WebTechCategory] - Broader technology categories - Available values: "Healthcare And Life Science","Technology","Marketing","E-commerce","Devops And Development","Programming Languages And Frameworks", "Testing And Qa", "Platform And Storage","Health Tech","Business Intelligence And Analytics","Operations Management","Customer Management", "Hr","Industrial Engineering And Manufacturing","Product And Design","Sales","It Security","It Management","Other","Operations Software", "Finance And Accounting","Computer Networks","Collaboration","Communications","Business","Productivity And Operations" Autocomplete-Required Filters (standardized values MUST be obtained from autocomplete tool FIRST): - linkedin_category: LinkedIn industry categories - REQUIRES autocomplete - company_tech_stack_tech: Specific technologies - REQUIRES autocomplete - naics_category: NAICS industry codes - REQUIRES autocomplete - business_intent_topics: Object {topics: string[], negate?: boolean} - Intent topic strings (e.g., "Security:Cloud Security", "HR:Employee Benefits"). Max 20 topics. Set negate=true to exclude matching companies. - city_region: City regions (USA only) - REQUIRES autocomplete Event-Based Filters (use enum values directly, no autocomplete needed): - events: Object with "values" (array of event types from fixed enum) and "last_occurrence" (days: 30-90) - This filter identifies businesses that have experienced specific events within a time window - After fetching businesses with event filters, use fetch-businesses-events to get detailed event information BUYING INTENT (CRITICAL FOR SALES PROSPECTING) - When user wants to find potential customers/prospects for what they're selling - Use business_intent_topics filter (requires autocomplete) - ExampleKeywords: "selling to", "need", "looking for", "interested in buying", "prospects for" Boolean Filters (true/false/null): - has_website: boolean or null - Set to true for businesses with websites, false for businesses without websites, or null to include all - is_public_company: boolean or null - Set to true for publicly traded companies, false for private companies, or null to include all Direct-Use Filters (use standard codes directly, no autocomplete needed): - country_code: ISO Alpha-2 country codes (e.g., "US", "IL") - region_country_code: ISO 3166-2 region codes (e.g., "US-NY", "IL-TA") Technical Constraints: - linkedin_category and naics_category are mutually exclusive - region_country_code and country_code are mutually exclusive - CRITICAL: Search requests using linkedin_category, company_tech_stack_tech, or naics_category filters will fail without standardized values from autocomplete tool obtained first Returns: Business records including business IDs (usable with enrich-business or fetch-businesses-events) Performance Note: All applicable filters can be combined in a single request

Retrieves detailed business-related events from the Explorium API in bulk. Use Cases: - Get detailed event information after filtering businesses using the events filter in fetch-businesses - Research a company's complete event history with specific event types and timestamps - Analyze timing and details of funding rounds, partnerships, office changes, etc. Workflow: 1. Use fetch-businesses with events filter to find businesses that experienced specific events 2. Use this tool (fetch-businesses-events) to get detailed event information for those businesses Note: For events related to role changes or people movements, use the prospects events tool instead.

Fetch aggregated insights into businesses by industry, revenue, employee count, and geographic distribution.

Searches for prospects (employees) using detailed filter criteria. Supports combining multiple filters in a single request for optimal performance. Use Cases: Finding people in specific roles at companies: - "Who is the CTO at Google?" - "Find engineers at Microsoft" - "Show me sales directors at Apple" Data Characteristics: - Provides verified, structured professional data - Returns prospects with detailed role information Filter Types: Enum-Based Filters (use values directly from the lists below): - job_level: List[JobLevel] - Seniority level of the job - Available values: "c-suite", "manager", "owner", "senior non-managerial", "partner", "freelancer", "junior", "director", "board member", "founder", "president", "senior manager", "advisor", "non-managerial", "vice president" - job_department: List[JobDepartment] - Department or function in the organization - Available values: "administration", "healthcare", "partnerships", "c-suite", "design", "human resources", "engineering", "education", "strategy", "product", "sales", "r&d", "retail", "customer success", "security", "public service", "creative", "it", "support", "marketing", "trade", "legal", "operations", "real estate", "procurement", "data", "manufacturing", "logistics", "finance" - company_size: List[NumberOfEmployeesRange] - Employee count range - Available values: "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+" - company_revenue: List[CompanyRevenue] - Revenue range in USD - Available values: "0-500K", "500K-1M", "1M-5M", "5M-10M", "10M-25M", "25M-75M", "75M-200M", "200M-500M", "500M-1B", "1B-10B", "10B-100B", "100B-1T", "1T-10T", "10T+" - total_experience_months: RangeInt - Experience in months (e.g., {"gte": 12, "lte": 120}) - current_role_months: RangeInt - Months in current role (e.g., {"gte": 6, "lte": 24}) - company_age: List[CompanyAgeRange] - Years since company founding - Available values: "0-3", "3-6", "6-10", "10-20", "20+" - company_number_of_locations: List[NumberOfLocations] - Number of office locations the company operates - Available values: "0-1", "2-5", "6-20", "21-50", "51-100", "101-1000", "1001+" Boolean Filters (true/false/null): - has_email: literal true or null - Filter to include only prospects with verified email addresses - has_phone_number: literal true or null - Filter to include only prospects with available phone numbers - has_website: boolean or null - Set to true for prospects from companies with websites, false for prospects from companies without websites, or null to include all - is_public_company: boolean or null - Set to true for prospects from publicly traded companies (with stock tickers), false for private companies, or null to include all Autocomplete-Required Filters (standardized values MUST be obtained from autocomplete tool FIRST): - linkedin_category: LinkedIn industry categories - REQUIRES autocomplete - job_title: Job titles - REQUIRES autocomplete - interests: Professional interests - REQUIRES autocomplete - skills: Professional skills - REQUIRES autocomplete - naics_category: NAICS industry codes - REQUIRES autocomplete - business_id: Business IDs - REQUIRES match-business or fetch-businesses Direct-Use Filters (use standard codes directly, no autocomplete needed): - country_code: ISO Alpha-2 country codes (e.g., "US", "IL") - company_country_code: ISO Alpha-2 country codes (e.g., "US", "IL") - region_country_code: ISO 3166-2 region codes (e.g., "US-NY", "IL-TA") - company_region_country_code: ISO 3166-2 region codes (e.g., "US-NY", "IL-TA") Technical Constraints: - linkedin_category and naics_category are mutually exclusive - region_country_code and country_code are mutually exclusive - company_region_country_code and company_country_code are mutually exclusive - CRITICAL: Search requests using linkedin_category, job_title, interests, skills, naics_category, or business_id filters will fail without standardized values obtained first from their respective tools Returns: Prospect records including prospect IDs (usable with enrich-prospects or fetch-prospects-events) Performance Note: All applicable filters can be combined in a single request

Retrieves prospect-related events from the Explorium API in bulk. Use this when querying for prospect-related events about businesses: Example workflow: Fetch businesses > Fetch prospects > Fetch prospects events