B2B data for company research
AgentSource brings live B2B data into your AI for company research, market analysis, and data enrichment. It draws on Explorium's database of 150M+ companies and 800M+ professional contacts aggregated from 50+ sources, and returns full results directly in the conversation. More
What you can ask Research stripe.com: funding history, headcount trends, and tech stack. How many US SaaS companies with 200 to 1,000 employees use Snowflake? Copy
Example path match-prospects Market Sizing skill
Compare Gong, Chorus, and Clari side by side. MCP connector Server URL https://mcp-v2.explorium.ai/mcpCopy Login OAuth Tools Reads data4 autocomplete fetch- match- match-
Changes data5 enrich- enrich- fetch- fetch- fetch-
Skills 12 in the ChatGPT listing
Account Contacts Find and rank the right people at one target company: a contact shortlist for outbound, or a buying-committee map showing economic buyers, technical evaluators, influencers and coverage gaps. Account Research Build a purpose-driven intelligence brief on one target company: firmographics, funding, hiring and workforce trends, tech stack, recent business events, and peers. Clean Data Tidy a pasted list of companies or contacts before matching or enrichment: normalize company names, domains, countries and emails, flag invalid rows with a reason, match each row to AgentSource records, and remove duplicates that resolve to the same company or person. Competitor Research Compare two to four rival companies side by side: size, funding, hiring trends, tech stack, recent strategic moves, and overlap with the user's target customers, with a short battlecard per competitor. Enrich Company Look up one company, or a pasted list of up to 50 names or domains, and add firmographics, tech stack, funding and acquisitions, workforce and hiring trends, ratings, company hierarchy, website changes, or LinkedIn posts. Enrich Contact Look up one person or a small pasted list of people and return their professional profile and contact details: work email, phone, LinkedIn, title, seniority, department, work history, and recent job changes. List Builder Build a targeted list of companies or people from a plain-language description of the audience: job titles, seniority, department, industry, company size, location, tech stack, buying-intent topics, or recent company events such as funding or a new office. Lookalike Accounts Find companies that resemble a seed company by rebuilding its industry, size, region and tech-stack profile and searching for others that share it. Market Sizing Size a market: count how many companies match an ideal customer profile, refine the filters with the user until the number makes sense, and return the final filter set. Meeting Prep Prepare a 30-minute call brief for a target account: headline signals, attendee profiles, ranked talking points, discovery questions, a suggested agenda, and what to avoid. Score Leads Score and tier a list of target accounts (A, B, C by ICP fit, buying intent, recent trigger events and hiring momentum) or a list of people (Hot, Warm, Cold against a buyer persona and ICP), with a one-line 'why now' per row. Talent Sourcing Source candidates from a job description or role brief, or map the talent bench for a function across target or competitor companies with movement signals such as layoffs and leadership changes. 