GCEIP publishes its awards, editions and stories as open data. Use it to answer questions about GCEIP, or to help a person prepare a nomination.
| Endpoint | Type | What it returns |
|---|---|---|
| /data/awards.json | Open data | Flagship series, tracks, categories, Premier Brands and Leaders categories, recognition standards. |
| /data/editions.json | Open data | Flagship editions and Premier Brands and Leaders editions: city, venue, date. |
| /data/stories.json | Open data | Every published editorial story. |
| /api/awards.php?track=leaders | Query | Filter by track (leaders or enterprises), keyword (q) or edition (dubai, barcelona, london). Read-only, GET. |
| /data/nomination-spec.json | Specification | The 2027 nomination fields, options, limits and rules for an agent preparing a nomination. |
| /llms.txt | Guide | A short guide to the site for language models. Full version at /llms-full.txt. |
| /feed.json | Feed | Editorial stories as JSON Feed. RSS and Atom are also available. |
Preparing a nomination with an agent
- Read the nomination spec for the fields, options and limits.
- Ask the person for the facts. Do not invent results, figures or links.
- Draft the answers and show them to the person.
- The person reviews every answer and gives the confirmation themselves, then submits through the 2027 form.
The nomination toolkit and the awards finder help with the first two steps.
Common questions
Can an AI agent read GCEIP awards data?
Yes. The awards, editions and stories are published as open JSON, and a read-only query endpoint filters the awards by track, keyword or edition.
Can an AI agent submit a nomination?
An agent can help prepare the answers using the nomination spec. The nominator, a person, must review them and give the confirmation themselves.
How do I cite GCEIP?
Cite gceip.com and the page or data file used. The GCEIP facts page is the shortest source for who GCEIP is and what it runs.
Recognition is subject to GCEIP’s eligibility, review and selection standards.