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Abishai95141

fincon

by Abishai95141

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    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to perform financial analysis, budget forecasting, compliance checks, expense categorization, and risk assessment, returning structured JSON with audit-ready governance receipts.
      5
      81 npm
      1
      Business Source 1.1
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI IDEs to perform financial reconciliation through five native tools for matching invoices, detecting bundled payments, and handling bank fee variances.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An accounting-ops agent that reconciles payments against open orders, auto-books provably safe payments through a deterministic policy gate, and escalates exceptions to a human queue with audit trails.
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      Provides AI agents with deterministic, offline finance tools for commodity margin analysis, loan covenant compliance, invoice auditing, AP exception classification, and five-day close readiness.
      14
      17 npm
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Deterministic verification for AI-generated analysis. Reconciliation, consistency and Excel-integrity checks that stop the line when the numbers don't add up.
      45 PyPI
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables LLMs to query a synthetic general ledger and trial balance through read-only tools for account lookups, GL drill-down, variance analysis, and naive forecasting, with every answer cited to specific transactions or periods.
      38 npm
      MIT

    TDQS

    B3.3/5.0

    Scored across 21 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: proofs, records, worklists, exceptions, loops, runs, closes, events, classifications, and authorities are all cleanly separated. Even the multiple verify tools are clearly differentiated by object type (proof, close, journal).

    Naming Consistency4/5

    Nearly all tools follow a clear verb_noun pattern like get_proof, list_runs, run_close, and verify_journal. The one minor exception is audit_export, which reads as a noun phrase rather than a verb_noun action, but this does not create real confusion.

    Tool Count3/5

    At 21 tools, the set is on the heavy side and sits at the boundary of being too large for easy navigation. The tools are individually purposeful and the financial-close domain is broad, but the count still feels dense rather than tight.

    Completeness5/5

    The surface covers the full lifecycle: configuration discovery, source ingestion, matching, closing, exception handling, classification, verification, audit export, and journal integrity. There are no obvious dead ends, and the refusal semantics are consistently exposed where human or policy sign-off is required.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues