Public datasets
Datasets we publish.
Three public datasets, all under CC-BY-SA — academic researchers, journalists, and curious readers can cite + reuse with attribution. Together they form the editorial-transparency moat that distinguishes propautopilot from opinion-led property coverage.
Dataset 1 · Public prediction ledger
Prediction ledger
Every public call propautopilot has made on Australian suburb investment, graded held / missed / pending after 12 months. The first AU property research site to grade itself in public.
- Format: JSON via /ledger (HTML view) and
/api/ledger(machine-readable) - Fields: when, suburb, verdict, claim, outcome, scoreDelta
- Update cadence: rolling — new predictions added on publish; outcomes graded at the 12-month mark
- License: CC-BY-SA 4.0
Dataset 2 · Suburb scorecard summary
Suburb scorecard summary
Public-tier summary of the 49-metric scorecard across 14,500+ Australian suburbs. Each suburb’s top-line metrics + editorial verdict + last-reviewed date are public; the full 49-metric depth requires Investor-tier authentication.
- Format: HTML via /suburb/[id], JSON via /api/suburb/[id]/summary
- Coverage: 14,500+ SAL-canonical AU suburbs
- Metric set (public-tier): median price, median rent, rental yield, vacancy rate, DA pipeline, population growth, household formation, transit access, risk overlays
- Update cadence: daily revalidation; primary-source pulls weekly to monthly per metric
- License: CC-BY-SA 4.0 for the editorial verdict + summary; underlying primary-source data remains under each source’s license (ABS, state land records, etc.)
Dataset 3 · Methodology paper
Methodology
The editorial framework documenting how propautopilot scores Australian suburbs: 49 metrics, primary-source register, citation chip mechanic, 5 confidence states, public ledger grading rubric, quarterly review cadence.
- Format: HTML via /methodology
- Sections: 7 specialists, 8 primary-source register, citation-chip mechanic, 5 confidence states, ledger framing, quarterly cadence, what we never do
- Update cadence: quarterly review; methodology revisions flagged in changelog
- License: CC-BY-SA 4.0
Citation guidance
CC-BY-SA 4.0 means: free to use + adapt + redistribute, with attribution + share-alike. When citing in academic + journalistic work, please use:
propautopilot. 2026.
"propautopilot prediction ledger / suburb scorecard / methodology."
Retrieved {date} from https://propautopilot.ai/{ledger,explore,methodology}.
Licensed under CC-BY-SA 4.0.The CC-BY-SA license requires derivative works to be released under the same terms. CC-BY-SA 4.0 license details.
What we don’t publish
- · Investor-tier full 49-metric scorecard depth (auth-gated, A$249/mo)
- · Pro-tier buyer’s-agent client workspace data (auth-gated)
- · Per-user analytics + behaviour data (private to each user)
- · Underlying primary-source data we cite (each source has its own license)
For research collaboration, citation queries, or licensing questions outside CC-BY-SA scope, contact hello@propautopilot.ai.