Fin Data

We build data tools for people who have to act on the numbers: recruiters, staffing firms, finance teams, operations leads, and the AI agents they are starting to run.

What to expect from a FinData actor

• One normalized schema per problem, documented field by field. Vendor quirks go in an extra object, never into your columns.
• Public endpoints only. No logins, no proxies, no scraped personal data.
• Fail-soft runs. One broken source is logged and skipped; the rest of your run finishes.
• Pay-per-event pricing where filters run before billing, so you pay for records you keep.
• A README that reads like product documentation, with real examples and stated limits.

Current actors

• Workday, Greenhouse, Lever, Ashby, SmartRecruiters Job Scraper: one job feed across the five major applicant tracking systems, with only-new mode for monitoring and Workday boards handled past the 2,000-job cap.

Background

FinData Consulting is a finance, BI and AI-systems practice. The actors here come out of work we needed for our own clients, so they are built for daily use, not demos.

Questions, broken boards, or a vendor you need added: open an issue on the actor and we will answer.