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Searches arxiv for papers directly relevant to the techniques and gaps identified in the codebase scan

Cross-references detected techniques against found papers to identify concrete implementation gaps, missing best practices, and opportunities

Analyzes all source files in the repository to extract ML techniques, model architectures, training patterns, loss functions, and notable absences using AST knowledge graphs

Takes an arxiv ID and produces an engineering-focused summary: what it does, how to implement it, and what it replaces

Multi-agent delegation patterns for VyapaarClaw. Teaches the CFO agent when and how to spawn sub-agents using sessions_spawn for vendor due diligence, anomaly investigation, and compliance reporting.

AI CFO — Agentic Financial Governance. Enforces spending policies, verifies vendors, scores risk, and audits every AI agent transaction via Razorpay X. The autonomous finance layer for the agentic economy.

Canvas financial dashboard rendering for VyapaarClaw. Teaches the CFO agent to render live financial dashboards using OpenClaw's Canvas workspace with HTML/CSS/JS visualisations.

Use Lighthouse as an end user — daily research briefs with BYOK AI, topic selection, custom topic builder, and delivery channels. Connect via WebMCP tools on the live dashboard or guide the user through the web UI. Use when the user wants research digests, wants to run or schedule briefs, connect an agent to Lighthouse, or operate the demo at demo-beta-topaz.vercel.app — not when developing or contributing to the lighthouse-kestra repository.

Integrate with HyperAPI for financial document processing - OCR text extraction, document classification, PDF splitting, and structured data extraction from invoices, receipts, and financial documents. Use when the user needs to parse PDFs, extract text from documents, classify document types, split multi-document PDFs, or extract structured entities like invoice numbers, vendor names, line items. Keywords: hyperapi, hyperbots, document parsing, OCR, PDF processing, invoice extraction, receipt processing, document classification, VLM, vision language model.

Use when building, auditing, deploying, explaining, or extending GLYPH: verifiable agent guardrails, NL-to-policy compilation, policy commitments, TEE policy checks, RISC Zero/Groth16 proofs, Solana verifier flows, agent delegation, or alignment to arXiv:2509.00085.

Investigate data quality incidents — root cause analysis, blast radius, lineage traversal — via the CHRONOS autonomous RCA agent