com.worthune/models
name:com.worthune/models
57 Concordance-tested financial models plus stateful household planning; specs and sources cited.
- transport:
- remote
- credential class:
- self-provisionable
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- create_householdshallow
Create a persistent household resource from a household-schema document (docs/household-schema-spec.md: members, accounts by tax wrapper, liabilities, income and expense streams). Validation rejects with JSON-path errors — fix the payload in one pass. Returns the household id to use with get/replace/project_household.
- decide_householdshallow
Run a Household Coordination Engine strategy on a stored household and get back a ranked decision object with evidence records. Strategies: withdrawal-sequencing (no params); roth-ladder (params.candidates: [{annualAmountUsd, years}]); ss-claiming (params.candidateAges?: {memberId: [ages 62-70]}); asset-location (params.taxRates: {marginalOrdinary, qualifiedAndLtcg} plus params.characteristics or params.illustrativeCharacteristics: true — the illustrative set is labeled not-a-recommendation and is never applied silently); tax-loss-harvesting (params.ordinaryMarginalRatePct, optional longTermRatePct and realizedGains); annual-gifting (params.doneeCount, params.years); pension-election (params.ownerId, startAge, discountRatePct, options — EPVs from the NCHS life table; adults need sex). Alternatives are ranked best-first by a checkable score under a named objective; deltas name their baseline; every projection-backed candidate links its own verifiable record; exclusions are stated in the notes.
- draft_import_mappingshallow
WS3.5c: AI drafts the mapping; determinism executes it. Send up to 10 sample records from an export (column → string cell) and get back a DRAFT mapping template for import_households' template + records path. Three deterministic gates run before anything returns: strict JSON, the transcription guard (a numeric const anywhere in the draft is rejected — numbers bind to columns, never to values a model wrote), and the real import dry-run over your sample. Nothing is written. Review the template and the unmappedColumns honesty list, then run import_households yourself with dryRun: true over the full export.
- get_householdshallow
Fetch a stored household document and its metadata by id.
- get_model_contractshallow
Get a model's machine-readable contract: required inputs with types and valid domains, cross-field constraints, sentinel-value meanings, and the government constants (with sources) the model uses. Set include_spec to also receive the full specification markdown (exact formulas, assumptions, exclusions, known issues).
- import_householdsshallow
Migrate a book (WS3.5): import up to 200 households in one call, with dryRun: true validating everything and writing NOTHING — iterate until the per-row, per-field report is clean, then run for real. Two shapes: households[] of { importKey, label?, household } documents, or template + records — a declarative mapping template (docs/data-migration.md) executed deterministically over raw exported records, so YOU draft the small reviewable template and the engine does the transcription. importKey is the caller's stable id: re-runs are idempotent (already-imported keys skip and report their householdId); imports never overwrite.
- list_modelsshallow
List Worthune's Concordance-tested financial calculation models (an independent second implementation must agree with the engine, per the published spec). Returns model names and spec versions. Call get_model_contract before running a model.
- narrate_decisionshallow
The Verified Narrative: client- or advisor-ready prose for a stored decision (decision_id) or an inline decision object. A model drafts the narrative FROM the decision; a deterministic gate then extracts every number in the draft and verifies each against the decision's own values — correctly-rounded restatements pass, invented numbers reject the draft whole (one retry, then refusal; a narrative is never patched). The response reports how many claims were checked.
- patch_householdshallow
Apply a collection-level delta to a stored household without resending the whole document: set scalars (filingStatus, state), upsert entries by id (replace or append), remove entries by id. expectedVersion (from get_household) is REQUIRED — a delta is only meaningful against a version you have read. The merged result is validated in full; a delta can never produce an invalid household.
- project_householdshallow
Run the deterministic multi-year projection on a stored household — income, RMDs, federal + covered state tax, expenses, amortization, cash flow, net worth per year — optionally with seeded Monte Carlo (same seed, same result). Assumptions: pass your own, pin a profile by id+version, or omit both for the labeled illustrative default; the response always names its assumptionsSource. Every simplification that fired is listed in projection.assumptionsApplied — show your work.
- replace_householdshallow
Full-document replace with optimistic concurrency: pass expectedVersion (from get_household) and a stale write loses cleanly with the current version instead of clobbering a concurrent change.
- run_modelshallow
Run a Concordance-tested calculation model. Inputs must satisfy the contract from get_model_contract (all fields required, values inside their domains — out-of-domain requests are rejected, never clamped). The response echoes inputs, spec version, assumptions, triggered sentinels, and sourced constants; outputs are exactly what the engine computed, untouched. Share the matching interactive calculator with users: https://worthune.com/scenarios/<model> for scenario models.
- verify_claimshallow
Verify claims about a model's outputs against the engine before presenting them to a user. Pass the model inputs plus one or more claims ({path, op, value}); each claim comes back verified, violated, or out-of-scope, with the engine's computed value as proof and a decision-record hash tying the verdict to this spec version and these inputs. Out-of-scope means the model does not compute the claimed quantity — this tool never guesses. Use it to check a number you are about to state; use run_model when you want the full output envelope.
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