One platform. Every team that runs on data.

Your lead lists were stale the day you bought them. Your SDRs are spending half their week researching prospects instead of contacting them.

With ClickSet: Describe your ICP and Tony builds the table from the Sales Leads dataset — sourcing contacts, firmographics, and funding signals from live web data. He refreshes on your schedule, scores every row with AI intent or sentiment analysis, and pipes the results directly into your CRM.

A crisis is brewing in a subreddit you don't monitor. By the time it hits the news, you've lost two days of response time.

With ClickSet: Blair tracks mentions from the Brand Mentions & Sentiment and Employer Reviews & Sentiment datasets across news, reviews, and forums in real time. She runs AI sentiment scoring, topic clustering, and crisis detection as data arrives. When something spikes, she auto-generates a shareable image, a short video recap, or a narrated audio brief.

Your recruiters are guessing at comp ranges from LinkedIn. Your CEO wants a hiring trend report by Friday.

With ClickSet: Amelia builds skill-demand, hiring signal, and competitor-comp tables from the Job Postings, Companies Hiring, Top Candidates, and Role Salary Data datasets, drawing from job boards, career pages, and public profiles. She analyzes trends with AI operations and generates profile cards, hiring trend videos, or audio briefings for leadership reviews.

Three regulators updated policy this month. Your legal team found out about one of them. Audit season is coming.

With ClickSet: Henry tracks public policy updates, SEC filings, regulatory bulletins, Court Records, and Public Filings into structured, audit-ready tables — every cell sourced, every change logged with a timestamp. He runs AI trend and sentiment analysis and generates plain-language explainer images or audio updates for internal training.

Competitor pricing changes overnight. Your pricing review happens quarterly. You're always reacting, never anticipating.

With ClickSet: Vlad tracks competitor pricing, stock levels, promotions, and product specs across thousands of sites using the Product Prices and Product Listings datasets — tables that update themselves on your schedule. He logs every change, runs AI elasticity and trend analysis, and generates comparison visuals or audio alerts for your team's morning standup.

Your analyst's market model is built on data pulled three months ago. The signals that matter most are buried in news feeds, filings, and job postings nobody has time to read.

With ClickSet: Richard and Gregory pull signals from the Stock Prices & Indicators, Company SEC Filings, Company News, and Company Firmographics datasets into structured tables built for alpha generation, risk modeling, or forecasting. They run AI anomaly detection or trend operations and combine sources with automated deduplication and validation.

Your morning briefing is built on whatever your team happened to skim before the standup. The signal you actually needed was in a podcast you didn't have time to listen to.

With ClickSet: Avery aggregates articles and metadata from the Company News, Industry News, Local News, National News, World News, and People News datasets into organized tables. She runs AI summarization and sentiment scoring across the data, then auto-generates featured images, short-form videos, or audio podcasts directly from the content.

Your engineering team found out about a competitor's patent after the product launched. Your security team found out about a CVE from a customer.

With ClickSet: Eric monitors Patent Filings and Trademark Filings for competitive IP intelligence; Sharon draws from Academic Papers for research trend analysis; Larry tracks the Security Vulnerability List and Open Source Projects for technology and risk signals. Together they keep R&D and engineering current without anyone manually scanning repositories and filing databases.

Half your data is in HubSpot. Half is in three different scrapers. Joining them is somebody's nightmare project for next quarter.

With ClickSet: Mark contributes Company Firmographics data while Vlad brings in Product Prices and Listings. They combine those diverse web sources into a single enriched table, applying AI operations for sentiment, intent, or anomaly detection. Generate fused visuals, comparison charts, trend videos, or narrated audio summaries directly from the dataset.

Critical pages like pricing, docs, regulatory filings, and partner directories change without notice. You find out from a customer complaint.

With ClickSet: Larry and Henry monitor any website for updates and log every diff into a versioned, queryable table. Larry handles technical and operational sources; Henry tracks Court Records and Public Filings. Trigger AI-powered insights or downstream workflows the moment something changes. Generate before-and-after images or audio change reports automatically.

Building a pipeline of trade shows, webinars, and industry events for the next two quarters takes an SDR three full days. Every time.

With ClickSet: Elle compiles upcoming events from the Local Events and Industry Conferences datasets, drawing from calendars and conference sites into one searchable table. She enriches entries with attendee profiles, sponsor lists, and historical context, then instantly generates promotional images, highlight reels, or audio invitations.

Your ML team's "two-week data prep" turned into a quarter of cleaning, deduplication, and source verification before training could even begin.

With ClickSet: Sharon draws from Academic Papers and Patent Filings; Larry contributes the Security Vulnerability List and Open Source Projects datasets. Together they turn raw web content into clean, structured tables for LLM fine-tuning or RAG. Run entity extraction, summarization, or topic clustering across thousands of records, then export to CSV, JSON, or pipe directly into training infrastructure via the API.

Your competitor shipped three features last quarter that your sales team learned about from prospects on calls.

With ClickSet: Gregory captures every change on competitors' sites into the Competitor News, Competitor Products & Services, Competitor Battle Cards, and Competitor Customer List datasets — versioned historical tables with full timelines. He runs AI analysis for strategic insights and generates side-by-side comparison images, trend videos, or executive audio summaries on demand.

Your models run on six different spreadsheets that were last synced at different times by different people. You don't know which number to trust.

With ClickSet: Richard draws from the Stock Prices & Indicators, Crypto Prices & Indicators, Company SEC Filings, Real Estate Listings, Commercial Property Listings, and Startup Funding datasets. He fuses them into one clean, structured table that refreshes on a schedule — so models always run on current data and the full history is retained for backtesting.

Every relocation request, offsite search, and travel booking starts with the same manual research that someone on your team already did six months ago.

With ClickSet: Brian draws from Rental Listings for relocation and facilities research; Yessica works from the Travel Destination List for corporate travel; Elle compiles Local Events for event planning. Together they build structured, refreshing tables so administrative research becomes a reusable asset rather than a one-off task.

You need clean structured data from a site that has no API and no patience for your scrapers.

With ClickSet: Scrape and structure public web data from any source into spreadsheet-like tables with full API access, scheduling, change detection, and multi-source fusion. Every ClickSet agent uses this foundation — it is the infrastructure you would build if you had six more engineers, available through one endpoint.

Your product team is debating what to fix next based on gut feel. Thousands of customers already told you in reviews you haven't read.

With ClickSet: Eddie aggregates product reviews, app store ratings, and customer signals from the Product Reviews & Ratings and App Store Rankings & Reviews datasets. He runs AI sentiment scoring and topic clustering so recurring themes surface automatically — without anyone reading every comment. Schedule refreshes to catch sentiment shifts the moment they happen.