Censos-2007-2025

Página web para comparación de censos

A new way for AI to search for data
View on GitHub
0GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 14df32ae62 (2026-10-18).

Selected work

Matias Buendia
@matiasbuendia08

“Publica el comparador de censos 2007, 2017 y 2025”. 5 files, 1,122 lines in fuente, the project root, data.

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

The prompt

Paste it into your AI agent. It clones matiasbuendia08/Censos-2007-2025 at the pinned commit and indexes it on your machine.

Search the GitHub repository matiasbuendia08/Censos-2007-2025 with XERJ (https://hub.xerj.org/corpus/matiasbuendia08--censos-2007-2025).
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/matiasbuendia08/Censos-2007-2025 Censos-2007-2025 && git -C Censos-2007-2025 checkout 14df32ae62c8840821e5a71cb4f4e504a071ff03
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Censos-2007-2025 --url http://127.0.0.1:9200 --prefix censos-2007-2025 --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.