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    Predicts the outcome of Dutch court cases dismissed, partly granted, or granted using a model trained on 609,715 rulings, with the outcome leakage measured and removed: 92% of Dutch judgment texts state the outcome verbatim, 0.1% remains after the cut, giving 78.2% accuracy against a 43.7% majority baseline. The lekkage_check tool exposes that same measurement so anyone can test a datase
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    Apache 2.0
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    Integrates the Metis FCA Handbook AI Harness into Claude Desktop to analyze FCA Handbook applicability for financial products, services, or firms, returning structured compliance reasoning with verbatim citations.
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    70 PyPI
    MIT
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    Official MCP server for the EU AI Act. Search and access Articles, Recitals, Annexes, timelines, obligations, prohibited practices, GPAI requirements, conformity assessments, and compliance information across all 24 official EU languages.
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    58 npm
    MIT
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    Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.
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    Enables deterministic evaluation of workplace injury recordability under 29 CFR Part 1904, using 11 typed triage tools to return cited determinations for OSHA log entries.
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    MIT
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    A "Virtual DOM" for Microsoft Word enabling AI to safely read, redline, and sanitize DOCX contracts without breaking formatting.
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    MIT
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    Enables EU AI Act compliance assessment by classifying AI systems, listing obligations, computing deadlines, and scanning repos for required documentation, all running locally.
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    MIT
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    Enables capturing evidence, retrieving platform takedown processes, and drafting DMCA/legal notices for content removal, using the Official AI API.
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    Apache 2.0
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    Searches Lithuanian legislation by title and fetches full text from the Register of Legal Acts (TAR) via the data.gov.lt open-data API, with verifiable citations.
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    25 PyPI
    Apache 2.0
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    Enables LLM agents to extract, validate, and mask personally identifiable information using deterministic regular expressions, reducing token usage and hallucination risks.
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    Enables AI assistants to validate Russian business requisites (INN, OGRN, bank accounts) via checksums, extract them from text, and retrieve counterparty details by INN using DaData.
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    MIT
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    Provides automated EU AI Act compliance tools, including risk classification, role determination, transparency disclosures, content watermarking, deepfake labeling, and security threat detection.
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    Apache 2.0