Built by Metorial, the integration platform for agentic AI.
Find decision makers at companies filtered by title and additional criteria. Extract targeted decision maker information using title-based filters combined with company-level filters. Ideal for sales prospecting and identifying key contacts at target companies.
Retrieve structured, real-time job listing data for specified companies. Returns 30+ data points per listing including full job descriptions, category, openings count, workplace type, reposted flag, and company context. Supports 35+ search filters for title, category, location, workplace type, and department.
Search for professional profiles using 20+ filters including title, company, seniority, location, function, and recent activity. Find people who recently changed jobs, posted on social media, or match specific criteria. Supports combining multiple filters for precise targeting.
Enrich data for one or more individuals from public sources. Returns employment history, education, social profiles, skills, and contact information. Works with LinkedIn URLs, emails, or name + company combinations.
Retrieve recent social media posts by a person or company, or search posts by keyword. Returns post content, engagement metrics (likes, comments, shares), and profile data of people who interacted. Supports three modes: person posts, company posts, or keyword-based post search.
Search and discover companies using various growth and firmographic criteria. Filter by headcount, revenue, industry, region, department headcount growth, job opportunities, and more. Useful for building prospect lists, market scans, and ICP-based company discovery.
Search for real-time public information using Crustdata's AI-optimized web search. Returns structured, entity-linked results from the web including press releases, blog posts, podcast appearances, funding news, and product launches. Results are returned as structured JSON suitable for direct integration into AI workflows.
Screen companies using advanced column-based filters with precise operators. Unlike the search endpoint, this uses database-style column filters with operators like equals, greater than, less than, and contains. Best for data-driven screening with specific numeric thresholds (e.g., headcount > 500, total funding > $10M).
Retrieve detailed enrichment data for one or more companies using their domain, name, or Crustdata ID. Returns 250+ data points including headcount metrics, funding, investors, web traffic, job openings, news articles, employer reviews, and product reviews. Supports real-time crawling for companies not yet in the database.
Retrieve investment holdings and portfolio companies for a specific investor. Returns portfolio performance metrics and details about companies in the investor's portfolio.