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Worthune Models

Worthune SDKs

Official SDKs for the Worthune Model APIverified financial calculation models you can cite, audit, and trust, callable over REST or MCP. Free with attribution, no API keys. The catalog grows in verified packs (loans & credit, retirement & tax, startup & small business, with more steered by requests); GET /api/v1/models is always the live list.

  • JavaScript / TypeScript: npm install worthune — zero dependencies, Node 18+ and browsers

  • Python: pip install worthune — zero dependencies, Python 3.9+

  • No SDK at all: it's plain JSON over HTTPS — POST https://worthune.com/api/v1/models/{model} (the catalog keeps growing — GET /api/v1/models is always the live list)

  • MCP (Claude, ChatGPT, agents): https://worthune.com/api/mcp/mcpcom.worthune/models in the official MCP registry

Why these models are different

Financial calculators are easy to write and easy to get subtly wrong. Worthune treats accuracy as an artifact, not a claim:

  1. Every model has a published spec — inputs, units, valid domains, exact formulas, assumptions, exclusions. The spec is one GET request: GET /api/v1/models/{model}/spec.

  2. Two implementations must agree. Each model is independently rebuilt from its spec, and both implementations must match on 250 fuzzed cases per model — across the entire catalog — before any change ships. Disagreement anywhere stops the release.

  3. Constants have provenance. IRS limits, brackets, and SSA factors come from a sourced registry with primary-source citations and verification dates — and every response cites the constants it used.

  4. No silent changes. Model behavior changes ship as spec version bumps with a public changelog. Responses pin their specVersion.

Related MCP server: QuantOracle

Sixty seconds to a verified computation

import { Worthune, verifyRecord } from "worthune";

const client = new Worthune();
const result = await client.run("relocation", {
  currentSalary: 95000, newSalary: 108000,
  currentMonthlyExpenses: 4200, newMonthlyExpenses: 4900,
  movingCosts: 6000, currentSavings: 40000,
  annualReturn: 0.07, yearsHorizon: 10,
});

result.outputs.breakEvenMonths;   // 16
result.specVersion;               // "1.0.0" — pinned contract
result.facts;                     // IRS/SSA constants used, with sources
await verifyRecord(result);       // true — SHA-256 audit fingerprint checks out
from worthune import Worthune, verify_record

client = Worthune()
result = client.run("relocation", {...})
result["outputs"]["breakEvenMonths"]
verify_record(result)  # True

What's in the box

Capability

JS

Python

Run any model in the catalog

client.run(model, inputs)

client.run(model, inputs)

Machine-readable contract

client.getContract(model)

client.get_contract(model)

Full spec (markdown)

client.getSpec(model)

client.get_spec(model)

Eval datasets (ground truth for financial AI)

client.getEvalDataset(model)

client.get_eval_dataset(model)

Sourced IRS/SSA constants

client.getFacts()

client.get_facts()

Decision-record verification

verifyRecord(response)

verify_record(response)

Decision records: every successful response includes record.sha256 — a hash over the canonical JSON of {model, specVersion, inputs, outputs} (keys sorted recursively). Store it next to anything you build on the outputs; recompute it later to prove the numbers came from that spec version, unaltered. Both SDKs implement the recipe, byte-exactly.

Households: stateful planning resources (v0.2)

Beyond one-shot model runs, an API key opens the household engine — persistent, organization-owned household resources you create once, keep updated, and project on demand:

const client = new Worthune({ apiKey: "wk_…" });
const { household } = await client.createHousehold(doc, "The Alvarez family");
const run = await client.projectHousehold(household.id, {
  horizon: { startYear: 2027, years: 40 },
  monteCarlo: { seed: 42 },           // same seed, same result
});
// run.assumptionsSource names where the assumptions came from;
// run.projection.assumptionsApplied lists every simplification that fired.
client = Worthune(api_key="wk_…")
created = client.create_household(doc, label="The Alvarez family")
run = client.project_household(created["household"]["id"],
                               horizon={"startYear": 2027, "years": 40},
                               monte_carlo={"seed": 42})

Replaces use optimistic concurrency (pass expectedVersion and a stale write loses cleanly with the current version), deletes archive rather than destroy, and webhook endpoints (createWebhookEndpoint) deliver signed household.computed / household.updated / household.archived events — HMAC-SHA256 over ${timestamp}.${body}, secret shown once at create.

Fair use & attribution

Everything here is free with attribution — a visible "Powered by Worthune" with a link where end users see results. Fair use is 5,000 model runs a month per app (a guideline, not a meter). The details, in writing: worthune.com/pricing.

What this repo is (and isn't)

This repo contains the API clients, examples, and their tests. The models themselves — the specs, the verified engine, the second implementation, and the facts pipeline — live behind the API at worthune.com. That separation is the product: you get verified computation as a service, without owning the verification burden.

License

MIT (the SDK code in this repository). API usage is governed by the Worthune terms.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

Maintenance

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