Tag
A practical solution using AnySearch to enable local AI agents to efficiently query multiple specialized sources (CVEs, SEC filings) and return structured JSON/Markdown, avoiding rate limits and broken SDKs.
Researchers from Stanford, UC, and Nanjing University release SEFD, a dataset of 152B tokens from SEC filings converted to layout-faithful MultiMarkdown, preserving table structure for LLM training with minimal overlap with Common Crawl.
Open-sourced a set of buy-side research skills for the Codex platform, capable of pulling original files from the SEC for analysis, supporting multiple investment research frameworks.
Introduces Equibles, a self-hosted open-source MCP server that provides local LLMs with real U.S. financial data including SEC filings, insider trades, and economic indicators.