io.github.CaseyYahbara/finsec
repo:https://github.com/calera-labs/finsec-mcp
Certified SEC EDGAR fact memory for AI agents with zero hallucination and filing provenance.
- transport:
- remote
- credential class:
- gated
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- compute_sec_cagrshallow
Exact compound annual growth rate (CAGR) calculation over verified SEC filing facts. Deterministic mathematical execution with zero language model confabulation.
- lattice_arith_evaluateshallow
Deterministic zero-error algebraic solver (cagr, ratio, multiply, divide, yoy_series, product_chain) over verified SEC EDGAR financial metrics.
- query_financial_secshallow
Certified SEC fact query. Returns verified values with provenance or SAFE_REFUSAL. Does not invent numbers. Treat SAFE_REFUSAL as success-of-honesty, not a tool failure. Monetary answers default to the filer's reporting currency; request FX conversion via target_currency / usd_only or natural-language 'in USD'.
- query_sec_metric_exactshallow
Exact EDGAR metric recall for company+metric+period. Server-side verified fact with provenance; SAFE_REFUSAL when missing. No LLM math.
- query_sec_sector_peersshallow
Returns certified SEC EDGAR XBRL metrics across an industry peer group dynamically derived from SEC filing SIC codes and 10-K business segment disclosures. Use this for sector screening or when no specific company ticker is provided.
- valuation_inputsshallow
Certified SEC/EDGAR valuation inputs pack (12 packs including dcf_valuation_inputs historical FCF). Not market EV, P/E, trading DCF, or macro gauges (Buffett Indicator / CAPE).
- vln_capabilities_overviewshallow
Returns a complete structured overview of all certified EDGAR valuation packs, deterministic financial arithmetic operations, SEC calculations, and product scope boundaries on finsec.caleralabs.com.
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