OpinionMap
An AI-powered, multi-agent market intelligence platform that autonomously scrapes, analyzes, and visualizes real-time sentiment and trends…
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“chat page with cited answers, entry points and landing …”. 12 files, 1,527 lines in frontend.
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 frontend do in OpinionMap?
The prompt
Paste it into your AI agent. It clones TRITUSLegend/OpinionMap at the pinned commit and indexes it on your machine.
Search the GitHub repository TRITUSLegend/OpinionMap with XERJ (https://hub.xerj.org/corpus/trituslegend--opinionmap). 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/TRITUSLegend/OpinionMap OpinionMap && git -C OpinionMap checkout 5341a9579ad0e0c973cbc3f183b158d733926d61 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./OpinionMap --url http://127.0.0.1:9200 --prefix opinionmap --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
Aditya Raj KarAI, prompts and agents corpora
Selected work and consent: the XERJ registry.