ZoomInfo API

Retrieves comprehensive company intelligence including firmographic data, technology stack (technographics), buying intent signals, and organizational hierarchy through REST API endpoints that aggregate ZoomInfo's proprietary B2B database. The API normalizes company records across multiple data sources and enriches them with real-time intent indicators derived from web activity, content engagement, and third-party signals, enabling sales teams to identify high-propensity accounts without manual research.

Resolves individual contact records with verified direct dial phone numbers, email addresses, and job titles by querying ZoomInfo's contact database using name, company, and role filters. The API implements fuzzy matching and deduplication logic to handle name variations and job title synonyms, returning high-confidence contact matches with phone number verification status and last-updated timestamps to ensure data quality for outreach campaigns.

Constructs complete org charts and reporting hierarchies for target companies by querying ZoomInfo's organizational database, which aggregates employee data from multiple sources (LinkedIn, company websites, news, employee updates). The API returns parent-child relationships between employees, enabling visualization of decision-making chains and identification of key influencers at multiple organizational levels without manual org chart construction.

Processes large lists of companies or contacts (100s to 1000s of records) through asynchronous batch API endpoints that queue enrichment jobs, poll for completion, and return results in bulk format (CSV, JSON Lines, or direct database sync). The API implements job queuing with exponential backoff retry logic and provides webhook callbacks to notify systems when batch jobs complete, enabling integration with data pipelines and CRM sync workflows without blocking on API responses.

Applies machine learning-based scoring algorithms to rank companies by buying intent and sales-readiness using intent signals (web activity, content engagement, technology changes, hiring patterns) combined with firmographic attributes (company size, industry, growth rate). The API returns prioritization scores (0-100) and intent signal breakdowns, enabling sales teams to focus outreach on accounts with highest conversion probability without manual lead scoring configuration.

Identifies all technologies, software, and tools used by a company through web scraping, DNS analysis, JavaScript fingerprinting, and third-party data sources, returning a comprehensive technology stack with adoption confidence scores and version information where available. The API enables competitive intelligence by showing which tools competitors use, supporting product positioning and sales strategy development.

Assigns confidence scores and data quality ratings to each enriched field (email, phone, company name, job title, etc.) based on data source reliability, recency, and cross-validation across multiple sources. Scores range from 0.0 (unverified) to 1.0 (verified from primary source), enabling downstream systems to make decisions about data usage (e.g., only use emails with confidence > 0.9 for cold outreach). Includes metadata about data source attribution and last-updated timestamps.

Maintains historical snapshots of company and contact records, enabling users to query how a company's employee count, technology stack, or executive team changed over time. The API returns change logs showing when fields were updated, what the previous value was, and which data source triggered the update. This enables trend analysis (e.g., 'company hired 50 engineers in Q3') and change-based alerting workflows.