godseye
God's Eye: 3D globe mapping 17,000+ public CCTV / traffic cameras at their exact coordinates. Click a camera icon, watch the live feed
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work

“Fix Delhi GTFS decoding and consolidate map controls, saved views and…”. 17 files, 857 lines in data, js, the project root.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-19. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
Example questions
- What does data do in godseye?
The prompt
Paste it into your AI agent. It clones Phaviwylera/godseye at the pinned commit and indexes it on your machine.
Search the GitHub repository Phaviwylera/godseye with XERJ (https://hub.xerj.org/corpus/phaviwylera--godseye). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Phaviwylera/godseye godseye && git -C godseye checkout 3b293a8e9bbe2ee0d2ac49ead03ad63e7f9fe95d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./godseye --url http://127.0.0.1:9200 --prefix godseye --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
PhaviAPI design and specification corpora
Selected work and consent: the XERJ registry.