우리는 449개의 실제 장비 파이낸싱 견적을 오픈 소싱하여 아무도 우리의 계산을 신뢰할 수 없도록 했습니다.

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DEV Community · Bilal Iftikhar · 2026-08-25 개발(SW)

Bilal Iftikhar

We open-sourced 449 real equipment financing quotes so nobody has to trust our math

Commercial equipment financing sites are almost always a black box: you land on a page, see a monthly payment, and have no way to check how that number was actually derived. The APR is picked out of thin air, the “starting at” price is aspirational, and the amortization math is never shown.

We built Equipment Capital Index to do the opposite — every page shows the real per-machine price, the actual amortization schedule, and now we’ve published the whole underlying dataset so anyone can verify or build on it.

What’s actually in the dataset

equipment-financing-rate-data is a CC BY 4.0 dataset of aggregate financing benchmarks computed from 449 individually priced, real machines — construction equipment, ag machinery, trucking fleet, power equipment, and material handling gear. No survey estimates, no fabricated averages.

Current live snapshot:

Category Machines tracked Avg APR Avg est. monthly payment Heavy Construction 222 8.25% $3,272 Agriculture 84 7.75% $4,411 Trucking Fleet 63 8.00% $2,501 Power Equipment 44 8.50% $957 Material Handling 36 8.50% $825

Site-wide average: 8.17% APR, $2,954/mo across all 449 machines.

Why this exists

A couple of principles drove the design:

  • Every number traces back to a real machine. Each of the 449 rows has a sourced price (dealer listing, MSRP, or a documented class-typical estimate — and it’s disclosed which one) and a real amortization calculation, not a rounded guess.
  • The math is reproducible, not just displayed. The same aggregation logic that powers the /press page on the site also generates this dataset — one source of truth computed twice, so the numbers can’t silently drift apart.
  • It shouldn’t require scraping a webpage. The data has three independent, permanent homes:

Try it

curl https://www.equipmentcapitalindex.com/api/rate-report.json

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CORS is open, no auth required. If you’re building anything that touches commercial equipment costs — a fleet budgeting tool, a research piece, a comparison widget — you’re welcome to pull from it directly or cite the DOI.

Feedback and PRs on the dataset repo are welcome.

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