$ loading_
Extract source-backed JSON from PDFs or URLs with signed verification receipts.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Vektoris-AI/proofetch" MCP server from askskill: Run: claude mcp add --transport http 'io-github-vektoris-ai-proofetch' 'https://proofetch-vektoris-ai-workflows.vercel.app/mcp'
Extract the experiment name, sample size, key metrics, and conclusions from this PDF paper as JSON. Attach page numbers or source snippets for every field, return null for missing information, and include a signed receipt.
Structured JSON with key paper details, source citations, nulls for missing fields, and a verifiable signed receipt.
Extract the product name, price, specifications, stock status, and return policy from this product page URL into standard JSON. Cite source text for each field and return null when a value cannot be confirmed.
Normalized product JSON with traceable sources, ready for analysis or database import.
Extract the party names, effective date, termination conditions, payment terms, and breach liabilities from this contract PDF as JSON. Include evidence snippets and a signed receipt for each field so the result is auditable.
Auditable contract-field JSON with evidence mapping and signed proof for review.
Parse invoices, statements, and contracts from PDF into structured JSON.
Extract structured JSON tables from PDF URLs with reliable source citations.
Extract verifiable data from documents for Q&A, search, translation, and evidence storage.
Extract PDF evidence, search citations, and manage Obsidian vault content.
Extract structured data from academic PDFs with natural-language querying and batch workflows.
Deterministically verify and sign numeric and financial claims for audits and AI workflows.