Configure Actuals & Data Sources (Phase 2)

Overview

Connect the model to real data - from wherever it lives. openfpa is not married to a connector: everything normalizes to one shape ({account: amount}), and where no built-in path exists, you build the ingestion for this source. That's the job, not a workaround - see examples/foxfactory/pull_edgar.py, a SEC-EDGAR adapter the agent wrote from scratch because no built-in one existed.

Core principle: one normalized shape regardless of source, so the engine never cares where the numbers came from - and the agent meets the data where it is.

The data can come from anywhere

• Local spreadsheets (always works, no credentials). A P&L, balance sheet, AR/AP aging, or inventory export. pyfpa.read_pl_csv(path) reads any two-column Account, Amount CSV (handles $, commas, (parens) negatives) → {account: amount} - it is generic, not P&L-only. For richer tables (aged AR/AP buckets, item-level inventory) there is no rigid reader by design: parse the file to what the model needs - derive DSO from AR aging, DIO from inventory, DPO from AP aging.
• A live accounting system via MCP - the cleanest live path. If a QuickBooks or NetSuite MCP server is connected, pull the trial balance / P&L / balance sheet through it and map the result to {account: amount}. openfpa never handles credentials - the MCP server owns auth.
• A live system via API - build a company-specific connector around the

source API and its actual report shape. The functions in pyfpa.io.adapters are fixture-backed examples only, not live QuickBooks, NetSuite, or Shopify clients.

• Public filings - a 10-K / 10-Q from SEC EDGAR (curl + a compliant User-Agent), as in the Fox Factory example.
• Anything else - if the source isn't covered, write a small ingestion that returns {account: amount} (or parses the richer statement to the drivers the model needs). That is the toolkit working exactly as intended.

Workflow

1. Discover existing access. Run

openfpa entrypoint-list <company-root> --kind connector. Reuse a tested company connector when one exists.

1. Pull actuals via whatever path fits the source.
2. Profile the source. Run

openfpa source-profile <company-root> --file <source-file> for supported local tables. Inspect the columns, empty values, and duplicate rows.

1. Register the source. Use openfpa source-register with a stable source

ID, entity, currency, period coverage, extraction method, and location.

1. Map source accounts onto the company model with

openfpa mapping-register. Register deliberate ignores with --status ignored and a rationale. Review with openfpa mapping-list.

1. Reconcile compatible account-amount CSV files with

openfpa reconcile-source. Flag duplicate and unmapped accounts; never silently drop or overwrite them. For richer tables, build a tested company-specific reconciliation that provides equivalent evidence.

1. Register recurring access. If you built a repeatable connector command,

first run openfpa connector-list. Scaffold a bundle with openfpa connector-scaffold from an explicitly redacted CSV fixture. Edit the generated extract_live() path, keep credentials in the host, and run openfpa connector-validate after every change. Fixture validation must remain offline. Once the live command has separate fixture-backed coverage, publish it with openfpa entrypoint-register --kind connector.

1. Judgment: apply fpa-cfo-judgment (pre-close months, flash-vs-GL cash, one-time items).

Credentials

Never commit secrets. Live API credentials come from the host environment; MCP servers own their own auth. openfpa ships only synthetic fixtures.

Next

Actuals wired → operate: fpa-monthly-close, fpa-cash-runway, fpa-board-briefing.