Zizx4uM /
NazoratAI
AI-powered corporate credit monitoring and Early Warning System (EWS) for banking loan portfolios with explainable TreeSHAP risk scoring…
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work

“resolve synthetic label leakage, add stratified CV evaluati…”. 7 files, 199 lines in src/nazorat_ai, tests, 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 2026-10-24. 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 src/nazorat_ai do in NazoratAI?
The prompt
Paste it into your AI agent. It clones Zizx4uM/NazoratAI at the pinned commit and indexes it on your machine.
Search the GitHub repository Zizx4uM/NazoratAI with XERJ (https://hub.xerj.org/corpus/zizx4um--nazoratai). 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/Zizx4uM/NazoratAI NazoratAI && git -C NazoratAI checkout 1db5c49d593668dd90d557954bd474470575eb0e 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./NazoratAI --url http://127.0.0.1:9200 --prefix nazoratai --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
Azizbek XajibayevAI, prompts and agents corpora
Selected work and consent: the XERJ registry.