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Overview

A B2B sales intelligence startup uses Anysite’s multi-source API to power its entire product — automated company research, employee discovery, decision-maker identification, and contact enrichment. What previously required stitching together 3-5 separate data vendors now runs through a single API integration. With a team of just 3 people, this customer processes over 241,000 API calls per quarter — roughly 2,700 per day — powering a production-grade sales automation platform that serves B2B sales teams. This case study shows how Anysite works as data infrastructure: not another sales tool, but the foundation layer that product teams build on.

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The Challenge: Why B2B Sales Prospecting Is Broken

B2B sales teams face a compounding data problem. SDRs spend 3+ hours researching a single enterprise account, toggling between LinkedIn, Google, company websites, and CRM tools across 5 or more browser tabs. The data they collect starts decaying immediately — B2B contact databases lose 2-3% accuracy per month, meaning 40% of a prospecting list can be outdated before the first email is sent. The tools designed to solve this problem create problems of their own: The common thread: credit-based pricing that expires, per-seat licensing that scales with headcount, and static databases that decay. None of these tools offer a unified API — teams stitch together 3-5 vendors to cover company data, employee profiles, and contact enrichment. For a startup building a sales intelligence product, these tools are a dead end. They’re designed for end users, not developers. You can’t build a differentiated product on top of another SaaS tool’s UI.

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The Solution: A Unified Data Pipeline on Anysite

This customer took a different approach. Instead of subscribing to multiple sales intelligence SaaS products, they built their own — using Anysite as the data infrastructure layer. Anysite provides a single API that connects to multiple data sources: LinkedIn profiles, Google company data, and email enrichment. No per-seat licensing. No expiring credits. Every API call fetches live data, not a static database that decays over time. The result is a 3-stage automated pipeline that handles the entire B2B prospecting workflow:

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Stage 1: Company Research (34% of API usage)

When a target account enters the pipeline, Anysite pulls company intelligence from multiple sources simultaneously:
  • /linkedin/company — Company profiles including size, industry, headquarters, and specialties (55,618 calls in Q1 2026)
  • /google/company — Cross-referenced company data from Google and the open web (26,495 calls)
  • /linkedin/company/employee_stats — Workforce breakdown by function and seniority (2,925 calls)
This combination gives the platform a complete picture of any target company: what they do, how big they are, how their teams are structured, and where they operate.

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Stage 2: Employee Discovery & Decision-Maker Identification (63% of API usage)

The core of the product. After profiling a company, the platform automatically discovers employees and identifies decision-makers:
  • /linkedin/user — Full professional profiles (143,785 calls — 60% of all usage)
  • /linkedin/sn_search/users — Sales Navigator-grade people search (5,067 calls)
  • /linkedin/search/users — Find people by role, company, and location (2,736 calls)
  • /linkedin/company/employees — List all employees at target companies (1,266 calls)
  • /linkedin/search/jobs — Open positions as buying signals (454 calls)
The job search endpoint is a standout. Open positions indicate budget allocation and active need — a company hiring a VP of Sales likely has budget for sales tools. This turns hiring data into a buying signal, a capability most enrichment tools don’t offer.

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Stage 3: Contact Enrichment (0.2% of API usage — smart filtering)

  • /linkedin/user/email — Email address lookup for qualified contacts (452 calls)
The enrichment ratio tells the real story: 452 email lookups against 143,785 profile views. That’s a 0.3% conversion rate — not because the tool is underperforming, but because it’s filtering intelligently. The platform only enriches contacts that match the ideal customer profile, rather than burning resources on every employee at every company. This precision is what separates a well-engineered pipeline from a bulk scraping operation.

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Results & Scale

Three people. Nine endpoints. 241,000+ API calls per quarter. This isn’t a team enriching spreadsheets — it’s a team running a production-grade product at scale, built entirely on Anysite’s API. The 13+ months of continuous usage demonstrates reliability. This is infrastructure that a business depends on daily, not a tool that gets tried and abandoned.

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Key Anysite Endpoints Used

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Key Takeaways

  • Anysite is data infrastructure, not another sales tool. This customer built a product on Anysite — they didn’t subscribe to a SaaS dashboard.
  • One API replaces 3-5 vendor contracts. LinkedIn profiles, Google company data, and email enrichment from a single integration.
  • Small teams can build at scale. Three people, 241K API calls/quarter — proof that Anysite’s pricing and architecture support startup-scale product development.
  • Smart filtering beats bulk enrichment. A 0.3% enrichment ratio shows that the value isn’t in volume — it’s in precision. Anysite provides the raw data layer; the customer’s product adds the intelligence.