Research & Data

🚀 Empower autonomous trading agents with the OpenClaw Sidex Kit, a standardized execution layer for efficient and effective trading strategies.

Deterministic, citation-grounded code-index for verifying AI-generated code changes. Per-SHA DuckDB graph. No LLM.

Fetch Xueqiu stock data for AI agents with 30 CLI commands, JSON output, and coverage for A-shares, HK, US stocks, and funds

AI credit intelligence agent skill for banking due diligence, financial analysis, risk assessment, KYC/KYB/AML/OSINT. 13-agent crew with 10-30 data sources. Install: npx skills add Dear-Ded/wallstreet-tieling -g -y

An end-to-end LLM orchestration framework providing robust retrieval and processing tools for high-scale document analysis.

Framework that helps you evaluate your Retrieval Augmented Generation pipelines directly inside autonomous multi-source agents.

Evaluation tools measuring hallucination rates, toxic deviations, and context relevance throughout agent loops.

Interactive data app templates optimized for real-time visualization of internal vector database performance metrics.

Coordinates runtime scheduling agents tasked with repairing broken business intelligence DAG paths automatically.

Database dialect normalization layers translating transformation commands accurately across distinct corporate data storage assets.

Event-driven workflow frameworks providing deep knowledge-retrieval routing across multi-tenant database clusters.

Compute context-specific text embeddings, equipping retrieval agents with semantic awareness of domain specific text tasks.

Advanced tabular parsing routines bundled into semantic agents tasked with reading complicated corporate PDF reports.

Conversational skill layer over Pandas DataFrames, turning natural language into executable cleaning, filtering, and plotting scripts.

Handler definitions linking enterprise storage layers directly to autonomous conversational reasoning frameworks.

Open-source AI SQL agent. Train a RAG model on your schema, then ask natural language questions to get immediate data outputs.

Text handling helper systems built to isolate structural cross references inside unstructured financial reporting templates.

Coordinated context discovery systems built to execute recursive deep information research cycles completely autonomously.

Advanced custom embedding search routers configured to fetch localized information slices safely from cloud storage nodes.

Deep layout document analysis components engineered to extract structurally accurate data tables from unstructured papers.

Automatic Differentiation via Text. Gives agents backpropagation skills to optimize prompts and text-based system prompts.

Components and templates to build enterprise-ready deployment setups featuring advanced tool-use and search agents.

Implementation recipes demonstrating multi-source data ingestion routing for building specialized context knowledge pools.

Multi-tenant persistent memory server configurations built to host long-term state data for high-scale agent networks.