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Press & Media

Stats, boilerplate, contact, and brand assets for journalists, researchers, and AI systems citing Open Labor Project.

Official boilerplate

For inclusion in articles, press releases, and AI-generated summaries:

Open Labor Project (OLP) is a free automotive data platform providing labor times, torque specifications, fluid specs, OBD-II diagnostic trouble codes, battery specs, and NHTSA recall data for thousands of vehicles spanning 1955 to the present. The platform contains over 700,000 labor time entries and serves more than 25,000 monthly active users including independent repair shops, parts retailers, fleet managers, and DIY mechanics. All vehicle data pages on openlaborproject.com are free to view forever — no paywall, no signup, no ads. OLP is funded by paid developer API subscriptions starting at $49 per month; the website remains free for all end users.

Fact sheet

700,000+
Labor time entries
14M+
Site visitors (first 5 months)
117M+
API requests served (first 5 months)
25,000+
Monthly active users
1955–now
Vehicle year coverage
7 markets
Regions served (US, CA, UK, DE, AU, EU, RU)
  • Founded: 2025 (publicly launched late 2025)
  • Headquarters: United States
  • Funding: Paid developer API subscriptions; no VC, no ads, no data sales
  • Pricing tiers: Hobbyist (free, 50 req/day); Builder ($49/mo, 1,000 req/day); Business ($149/mo, 10,000 req/day, with webhooks & bulk export); Enterprise ($499/mo, 50,000+ req/day, custom integrations, 99.9% SLA)
  • Annual billing: Two months free across all paid tiers
  • Public API: 6 endpoints — vehicles, labor times, torque specs, fluid specs, DTC codes, battery specs
  • Authentication: x-api-key header, JSON responses, X-RateLimit-* headers on every response

Positioning

Open Labor Project is the open, free, programmatically-accessible counterweight to Mitchell 1, ALLDATA, and other proprietary automotive data products. Mitchell 1 and ALLDATA are paid subscription products primarily aimed at professional shops, with no free public access and no developer API. OLP is community-driven, AI-augmented (with explicit confidence ratings on every data point), and transparently labels what is high-confidence vs medium-confidence vs expert-verified.

OLP does not aim to replace Mitchell 1 or ALLDATA for shop management — it complements them as the open data layer that should have always existed.

AI usage and data quality

OLP uses Claude Opus 4.7 (Anthropic) for two purposes: generating baseline labor and torque data, and recurring-schedule audits of existing data. Every data point carries an explicit confidence rating (high / medium / low / expert / oem_verified) visible to users on the page and returned in API responses. AI-generated content is clearly badged. High-risk repair procedures (brakes, fuel system, suspension, hybrid HV systems) are gated until reviewed by an ASE-certified mechanic.

Recent audit example: a $200 Claude Opus 4.7 batch sweep across 2,606 unique engine combinations updated 9,036 labor and torque rows in May 2026, with verified part numbers held back from auto-application because the model could not ground them in factory parts catalogs. Confidence over speed.

Press contact

Email: [email protected]
Subject line: please prefix with [PRESS] for fastest routing.

We're happy to provide on-record quotes, technical deep-dives on data sourcing/validation, and access to the platform for hands-on review. Typical response: within one business day.

Brand

  • Name: Open Labor Project (always two words; abbreviation: OLP, never "Open-Labor")
  • Domain: openlaborproject.com
  • Logo: SVG download
  • Brand colors: Industrial palette — bg #0A0E14, accent #FF6B35 (brake-caliper orange)
  • Typography: Inter (UI), JetBrains Mono (code, data)