Create assumptions and formulas as typed model items. Compute projections deterministically. Export audit-ready Excel workbooks. Layerz is a financial model API — not a market data feed, not a spreadsheet automation layer.
REST API · CLI · No-code-friendly · Export to standard .xlsx
Not database records — a financial model graph.
| models | Named, versioned financial models |
| sections | P&L, cash flow, balance sheet, or custom |
| items | Typed variables: constant, formula, monthly, yearly |
| layers | Scenario variants on a shared model structure |
| computed outputs | Any item value at any period, on demand |
Cell references. Fragile. Change a row and formulas break silently. No dependency graph. No type system.
Read-only financial data feeds. Not for building your own model logic.
A typed model graph. Explicit dependencies between variables. Deterministic compute — same inputs, same outputs, every time. No cell-reference generation.
POST/models# create a modelPOST/models/:id/items# define assumptions and formulasGET/models/:id/compute# compute all projectionsGET/models/:id/export# download .xlsxPATCH/models/:id/items/:iid# update an assumption, recompute
Full reference → llms-full.txt
ARR build, churn, expansion, CAC/LTV. Compute scenarios via API, export results to .xlsx for the board deck.
Headcount plan, burn rate, cash-in dates. Recompute on demand when assumptions change.
Entry price, debt structure, EBITDA bridge, returns. Shared model structure across similar deals.
Capacity, variable costs, contribution margin by product line.
Headcount, utilization rate, revenue per consultant. Reusable template across client engagements.
If you use Claude natively (Claude Max or Claude Code), the Layerz MCP server gives your agent direct access without writing API calls.
For AI builders — MCP plugin →REST API · CLI · Export to standard .xlsx