whereismyai
Dyt Ashare CLI
Dyt Ashare CLI is a command-line interface tool and data service providing A-share historical minute data for quantitative research and AI agents.
DYT Ashare CLI provides A-share historical minute data services through a companion command-line tool named dytcn. It allows users to query minute K-line data, check data coverage by security code and date, download Parquet datasets, and check data quality for anomalies. It also integrates with AI agents such as Claude Code, Codex, Cursor, Windsurf, OpenCode, and WorkBuddy via a skill. Users can test the service with guest quotas or log in with an API Key for account entitlements. The tool runs on Windows, macOS, and Linux without requiring a Python environment.
Dyt Ashare CLI at a glance
- Best for: Researcher, Product manager
- Runs on: Windows, macOS, Linux, CLI
- Pricing: Free
- Released: October 2026
- Category: AI research tool
- Website: github.com/renjiegod/dyt-ashare-cli
Key features
- Query A-share minute K-lines
- Check data coverage by security code and date
- Download Parquet datasets for local research
- Check data quality for duplicate records and abnormal prices
- Integrate data services with AI agents
- Manage account login and usage via CLI
Use it for
- Query A-share minute data and check data coverage
- Download Parquet datasets for quantitative research
- Check downloaded data for quality issues and anomalies
- Connect AI agents to fetch financial data
Alternatives to Dyt Ashare CLI
- OpenResearch — Run parallel research workflows locally or on remote compute.
- Scite — It uses direct publisher agreements to verify scientific claims with exact source links.
- Keryx — Compensates verified creators directly in USDC for cited sources
- Cookiy User Research — Finds verified participants and runs AI-moderated interviews with live team observation.
- Elicit — It searches 138 million papers and automates systematic literature reviews.
- Lune — Accesses trusted knowledge from top conference papers for AI agents.
- past.dev — Provides agents with accurate, timestamped context instead of static retrieval.
- GPT Researcher — Ranked #1 on Carnegie Mellon's DeepResearchGym benchmark for academic research.
- Auto Deep Researcher — Automates experiment operations to reduce manual babysitting of training loops.
- Dot — It answers data questions in seconds without requiring SQL or manual dashboard hunting.
- ARIS — Cross-model review loops verify research steps without framework lock-in.
- Leviathan — It indexes records into a single SQLite file for fast, cited agent queries.
All Dyt Ashare CLI alternatives