bankstatemently
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Alternatives to bankstatemently
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- AlicenseAqualityDmaintenanceConverts PDF bank statements into structured data (Markdown, JSON, CSV, JSONL) with verified transactions and balance checks, enabling agents to audit numbers.514 npmMIT
- AlicenseCqualityDmaintenanceProvides deterministic data parsing and enrichment for AI agents, including bank statements, trade history, EDI, PDFs to structured markdown, and atomic enrichment for amounts, dates, and addresses, with strict schema enforcement to prevent hallucinations.3721 npm2ISC
- AlicenseAqualityCmaintenanceConverts customer-supplied PDF bank statements into checked Excel, CSV, or JSON with balance validation. Runs locally with your own MainBook API key or against MainBook's hosted endpoint, and it never connects to bank accounts.5MIT
- AlicenseNot gradedqualityBmaintenanceDeterministic bank-statement parsing for AI agents: messy CSV/OFX exports to clean, categorized ledger rows. In-memory only, no storage, no external calls, no LLM in the loop.MIT
- AlicenseNot gradedqualityBmaintenanceEnables querying your own local bank and credit card statement files (CSV or PDF) in plain language, so you can discover forgotten recurring subscriptions, compare spending across months and quarters, and look up transactions without any bank logins or network calls.MIT
- FlicenseNot gradedqualityCmaintenanceFinancial data infrastructure for AI agents. Connect to a startup's books to read live P&L and bank balances, review and reclassify transactions, manage the chart of accounts, and connect banking sources.-
TDQS
Scored across 18 tools
Each tool targets a distinct resource or action, but the five transaction-analytics tools (aggregate, compare, time_series, group_by, top_n) overlap in scope/metric handling and require careful reading to choose correctly. The transfer tools (list_transfers, adjudicate_transfers, list_outflows) also need deliberate distinction, though descriptions clarify their boundaries.
All names use snake_case, and most follow a verb_noun pattern (list_transactions, get_statement, convert_statement). Minor deviations like bare verbs (aggregate, compare) and non-verb constructions (time_series, group_by, top_n) break the pattern slightly but remain readable and consistent in casing.
18 tools is on the heavy side for the domain. Several analytics tools (aggregate, compare, time_series, group_by, top_n) could potentially be consolidated into a parameterized analysis tool, suggesting some over-fragmentation, though each tool does cover a distinct operation.
The surface covers conversion, retrieval, categorization, analytics, transfer matching, upload, credits, rating, and benchmark evaluation, giving strong lifecycle coverage. Minor gaps remain: no direct account-listing tool and dismiss_statement is a soft hide rather than a hard delete, but these are workable.