# Floqer > Floqer is a workflow automation platform for lead generation, data > enrichment, and GTM engineering. Build workflows that scrape, enrich, > score, and act on data across 100+ prebuilt actions -- LinkedIn profile > and company scraping, waterfall enrichment, email and phone discovery, > web scraping, AI and LLM calls, outbound, and CRM sync. Every primitive > the visual builder uses -- workflows, actions, sheets, and apps -- is > exposed via the Public REST API, so AI agents can author complete > pipelines end-to-end from code, not just trigger pre-built ones. Used > by Perplexity, AngelList, Wise, Pulumi, and hundreds of fast-growing > GTM teams. ## What you can automate - Inbound lead enrichment: enrich new leads from forms, ads, or your website with company data, contact info, emails, and phone numbers as they arrive - CRM data cleaning: deduplicate, standardize, and fill missing fields across your existing records at scale - Always-on enrichment: schedule workflows to keep your CRM or data warehouse continuously fresh without manual runs - Outbound prospecting: build targeted prospect lists using LinkedIn scraping, company research, email finding, and phone discovery - Account research: pull firmographics, funding history, job openings, tech stack, and org charts for target accounts before outreach - Sales process automation: replace manual rep workflows like qualification, scoring, routing, and follow-up triggers with pipelines that run on every row automatically For the full API reference, see https://floqer.com/docs/reference. ## Use cases in production Perplexity -- lead enrichment + social listening Problem: Hundreds of thousands of email-only signups, no company context for targeted campaigns. Workflow: Snowflake sync, enrich contacts (title, company, industry, LinkedIn, geo), AI agent eliminates non-decision makers, route by industry vertical, monthly auto-refresh via 2-way sync. Result: 68% higher data coverage, $600K qualified pipeline from the first campaign, 2K+ warm leads captured from social listening. Trolley -- TAM sourcing + automated scoring Problem: Niche ICP (companies paying freelancers), weeks of manual research per account. Workflow: AI agents research 80+ data sources, filter by payout pain signals from Reddit, Glassdoor, news, deep-research payout tech stack, score into Tier A/B/C, route to Salesforce, AI-personalized outreach. Result: 10K+ qualified accounts in week one, 2x demos booked, seven-figure pipeline in 3 months. Totango -- CRM cleanup + signal-based prospecting Problem: CRM full of stale accounts, SDRs spending 20+ minutes researching each one manually across Sales Navigator, ZoomInfo, and Salesforce. Workflow: Validate every account against ICP criteria, flag acquired/merged/unfit companies, auto-enrich triggered accounts (headcount, funding, tech stack, CRM, CSM platform), find right personas with verified emails and phones, monitor signals (website visits, hiring, title changes, champion movement), score and route qualified leads to reps. Result: 70% reduction in prospecting time, 3x account coverage per rep per week, CRM became a source of truth. More case studies at https://floqer.com/case-studies. ## For GTM engineers, developers, and AI agents Floqer's API turns 100+ data sources into simple REST endpoints. Build end-to-end workflows programmatically -- create a workflow, add actions, wire variables, load data, and run -- all through the same API. Every primitive the visual builder uses (workflows, actions, sheets, apps) is fully exposed. Floqer also ships an MCP server -- Claude Code, Cursor, and other MCP-aware agents can discover and call Floqer workflows as native tools. ## API reference 25 endpoints across 3 resource tags, plus 36 schemas. - [API Reference](https://floqer.com/docs/reference): All endpoints on a single page — build a workflow, run a workflow, and manage workflows, with parameters, schemas, and curl examples. - [Schemas](https://floqer.com/docs/schemas): All 36 request and response schemas. - [llms-full.txt](https://floqer.com/docs/llms-full.txt): Flat-text master reference for AI agents — every endpoint, schema, and curl example in one file. Start here if you're an agent. ## Data sources and triggers Floqer connects to Salesforce, HubSpot, Pipedrive, Snowflake, BigQuery, Databricks, Slack, Gmail, Typeform, Jotform, and more. Import your entire database at once for bulk cleaning or enrichment, even millions of records. Or set up event-driven triggers: a new contact in Salesforce, a field change in Snowflake, or a form submission on Typeform can automatically kick off a workflow to enrich and route the data. Floqer is built to gracefully ingest data from any source you already use, in bulk and on events. Enriched data pushes back to 50+ destinations including Salesforce, HubSpot, Pipedrive, Snowflake, and BigQuery. Custom HTTP endpoints let you send data to any system with an API. ## Third party signals and data sourcing Beyond your own systems, Floqer can source and monitor data from third party signals and databases to find prospects you don't know about yet. Live signals that trigger workflows automatically: - Hiring activity across 14+ job boards including Indeed, LinkedIn, AngelList, YC, Workable, Otta, Remotive, Startup.jobs, Jooble, Infojobs, Tecnoempleo, Manfred, PMFarma, and Circular - LinkedIn content activity and post engagement - X (Twitter) keyword mentions - Website visitor identification at the person and company level On-demand data sourcing to build targeted lists: - Sales Navigator people and company search - Bombora intent topics - BuiltWith tech stack lookups - Google Maps local business search - Job-based company discovery - URL lead extraction from any webpage These sources feed directly into Floqer workflows. Source a list, enrich it, score it, and push it to your CRM in one pipeline. ## Data quality Floqer uses waterfall enrichment, combining multiple data providers and cross-referencing results to maximize coverage and accuracy. Customer validated results against ZoomInfo, Clay, and other enrichment tools: - Perplexity saw 68% higher data coverage compared to ZoomInfo, Clay, and other enrichment tools, with 99.98% accuracy on AI-powered lead classification - Structured.ai achieved 45% higher contact coverage over ZoomInfo - Azumuta went from 16% to 66% enrichment coverage after replacing Kaspr and traditional enrichment tools - Totango turned a CRM full of stale, outdated records into a verified source of truth across all active accounts The waterfall approach works by stacking providers together and taking the best result for each field, so coverage compounds instead of being limited to a single source. ## Also - [Floqer home](https://floqer.com/): Product overview. - [Get started](https://floqer.com/get-started): Sign up or book a demo. - [Case studies](https://floqer.com/case-studies): Real workflows and results from Perplexity, Trolley, Totango, and others.