schwab-api-cli

bvelasquez/schwab-api-cli (Rust)

A new way for AI to search for data
View on GitHub
2GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f04bc74ede (2026-10-19).

Selected work

bvelasquez
@bvelasquez

“Add LLM morning review agent for paper trading”. 4 files, 590 lines in scripts, deploy.

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

The prompt

Paste it into your AI agent. It clones bvelasquez/schwab-api-cli at the pinned commit and indexes it on your machine.

Search the GitHub repository bvelasquez/schwab-api-cli with XERJ (https://hub.xerj.org/corpus/bvelasquez--schwab-api-cli).
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/bvelasquez/schwab-api-cli schwab-api-cli && git -C schwab-api-cli checkout f04bc74ede0b6575314f3ece87f78c42b8c61323
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./schwab-api-cli --url http://127.0.0.1:9200 --prefix schwab-api-cli --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.