vates
Python framework, packages and example implementations for actuarial models
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“rebalancer.py: implement `_make_trade_orders_on_best_effort`”. 3 files, 279 lines in vates.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-20. 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
- Where does vates handle “rebalancer.py: implement `_make_trade_orders_on_best_effort`”?
- What does vates do in vates?
The prompt
Paste it into your AI agent. It clones shanyashi2025/vates at the pinned commit and indexes it on your machine.
Search the GitHub repository shanyashi2025/vates with XERJ (https://hub.xerj.org/corpus/shanyashi2025--vates). 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/shanyashi2025/vates vates && git -C vates checkout b15563ef9264a131a591ebd09620b792da655ed4 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./vates --url http://127.0.0.1:9200 --prefix vates --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
ShanyaAPI design and specification corpora
Selected work and consent: the XERJ registry.