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
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 1db5c49d59 (2026-10-22).

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

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

Selected work and consent: the XERJ registry.