Public Procurement Knowledge Bundle
Bundle OKF 0.1 · 6 conceitos · downoff/public-procurement-okf
Open source Repository Open in the app JSON README (API)
About
# Public Procurement Knowledge Bundle
Public-procurement tender intelligence from **Lucius AI** — the dataset, metrics, and source behind *The State of Public Procurement 2026* (https://ailucius.com/research/state-of-public-procurement-2026).
# Datasets
* [Public Procurement Corpus](/datasets/public-procurement-corpus.md) - 68,717 public tenders aggregated across 10 official sources and 7 countries.
# Metrics
* [Median Submission Window](/metrics/median-submission-window.md) - the median public tender gives bidders 15 calendar days to respond.
* [Submission Window by Country](/metrics/submission-window-by-country.md) - per-country median bid windows, from 12 days (US) to 97 days (Australia).
* [Short-Fuse Distribution](/metrics/short-fuse-distribution.md) - the share of tenders with ≤7, ≤14, and ≤30 days to bid.
* [Requirement Density](/metrics/requirement-density.md) - mandatory requirements per tender document (median 45, max 694).
# References
* [The State of Public Procureme
Details
- Kind
- OKF bundles
- Topic
- Government & public data
- Publisher
- downoff
- Origin
- okf_github
- Category
- dados
- Version
- 0.1
- Stars
- 1
- Last push
- 2026-06-16T07:17:14Z
- Repository state
- ativo
- License
- NOASSERTION
- Added
- 2026-09-08 22:07:22
- Updated
- 2026-09-08 22:07:22
- Origin id
downoff/public-procurement-okf:index.md
README
# Public Procurement — Open Knowledge Format (OKF) bundle
An [Open Knowledge Format](https://github.com/GoogleCloudPlatform/knowledge-catalog/tree/main/okf) (OKF v0.1) bundle describing the public-procurement tender corpus analysed by **Lucius AI**, and the headline findings from *The State of Public Procurement 2026*.
It packages — as plain markdown + YAML frontmatter, readable by humans and AI agents alike — the dataset, the key timing and complexity metrics, and the source report.
| | |
|---|---|
| **Source / full report** | https://ailucius.com/research/state-of-public-procurement-2026 |
| **Producer** | Lucius AI Systems, Inc. — compliance-first tender intelligence — https://ailucius.com |
| **Corpus** | 68,717 public tenders · 10 official sources · 7 countries (UK, US, Canada, Australia, New Zealand, Ireland, Norway; wider EU/EEA via TED) |
| **Format** | [OKF v0.1](https://github.com/GoogleCloudPlatform/knowledge-catalog/tree/main/okf) — start at [`index.md`](index.md) |
| **License** | [CC BY 4.0](LICENSE) — reuse freely with attribution to Lucius AI |
## Layout
```
.
├── index.md # entry point — progressive disclosure
├── log.md # update history
├── datasets/
│ └── public-procurement-corpus.md # the 68,717-tender corpus
├── metrics/
│ ├── median-submission-window.md # 15-day median bid window
│ ├── submission-window-by-country.md # per-country windows (US 12 → AU 97)
│ ├── short-fuse-distribution.md # ≤7 / ≤14 / ≤30 day shares
│ └── requirement-density.md # 45 median / 694 max requirements
└── references/
└── state-of-public-procurement-2026.md # source report + methodology
```
## What is OKF?
The [Open Knowledge Format](https://cloud.google.com/blog/products/data-analytics/how-the-open-knowledge-format-can-improve-data-sharing/) is an open spec from Google Cloud for representing organisational knowledge — datasets, metrics, sources — as a directory of markdown files with YAML frontmatter, so the same knowledge can move between humans, AI agents, tools, and organisations. This bundle is conformant with OKF v0.1.
## About Lucius AI
Lucius AI reads any RFP, tender or contract for clause-vs-clause contradictions, penalty traps and compliance gaps with page-cited evidence, then drafts compliant proposals across the full bid. The statistics in this bundle are a by-product of analysing public procurement at scale. → https://ailucius.com