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AI Biz Hub for Agents

65 business calculators on the site — 65 ship as downloadable ES-module engines at /engines/{slug}.js. Industry benchmark data rounds out the agent surface. No auth required.

Engine modules — Import and call (canonical)

Every tool ships its pure compute as a static ES module at /engines/{slug}.js. Import the module and call compute(input). The same formulas as the calculator pages. Input is validated against the published contract: an unknown field, a wrong type or a value outside its allowed range throws an Error that names the field. Each module ships typed .d.ts declarations; no HTTP round-trip, no rate limits, browser/Node/Deno-safe ES2020+.

const { compute } = await import('https://aibizhub.io/engines/freelance-rate-capacity-planner.js');
const result = compute({
  target_annual_income: 120000,
  billable_utilization_percent: 65
});
// { minimumViableHourlyRate, targetHourlyRate, stretchHourlyRate, ... }
  • No authentication required
  • Each engine is self-contained — no external imports, no runtime dependencies
  • Deterministic results, cacheable forever at the edge
  • Input params use snake_case matching contract fields
  • Input/output JSON Schemas at /engines/manifest.json

The hub serves only static assets — the legacy /api/{slug}/ HTTP endpoints were removed in Wave 7. Import the engine modules above instead.

Decision clusters — Topic routing

Tools are organized into 5 decision clusters. Use these to route users to the right area:

AI product economics

20 tools: startup-cost-estimator, profit-margin-calculator, margin-markup-discount-calculator...

AI vendor pricing

10 tools: ai-stack-cost-calculator, llm-vendor-lock-in-cost, model-price-drop-stress-test...

Bootstrapped growth

20 tools: startup-runway-calculator, monthly-burn-rate-calculator, break-even-units-calculator...

Freelance to founder

14 tools: freelance-rate-capacity-planner, consulting-day-rate-calculator, project-pricing-calculator...

Marketing and acquisition

11 tools: cac-calculator, churn-retention-calculator, ad-spend-roas-calculator...

Recommended integration pattern

  1. Discover: Read agent-tools.json for the full tool index with input schemas and intent signals.
  2. Match intent: If the user asks a broad question (e.g., "how much should I charge?"), match to the tool whose intent signals fit, and the decision guide it links. For specific calculations, match to a single tool.
  3. Import the engine: await import('/engines/{slug}.js').then(m => m.compute(input)) — returns structured JSON described by the tool's output_schema. Static module, no HTTP round-trip.
  4. Use benchmarks: The benchmarks field (when present) provides industry percentiles so you can contextualize the result: "Your rate of $95/hr is at the 72nd percentile for web developers."
  5. Link to human UI: For charts, advanced controls, and visual comparison, link the user to /{slug}/ on the site.

Discovery endpoints

Benchmark data in engine results

When benchmark data is available for a tool's output, the engine compute() result includes a benchmarks field:

"benchmarks": {
  "hourly_rate": {
    "p25": 55,
    "median": 85,
    "p75": 130,
    "source": "U.S. Bureau of Labor Statistics (OEWS)",
    "sourceUrl": "https://www.bls.gov/oes/current/oes_nat.htm",
    "year": 2024,
    "context": "US, freelance-adjusted"
  }
}

Sources: BLS (public domain), OpenView SaaS Benchmarks, Paddle Subscription Index, Mailchimp, Content Marketing Institute. All data is from public or openly published research.

Human + agent routing

People should start at the decision guide, the homepage, or browse all calculators.

Agents should start from agent-tools.json, match the user's intent to a tool, and import the matching engine module from /engines/{slug}.js directly.