12 CALCULATORS · FREE · NO SIGN-UP · AGENT API

AI Economics Tools

Interactive calculators for the part of AI nobody puts on a slide: what it costs, what it burns, and whether the work can be proven. Each tool turns one concept from the essays into a number you can defend in a budget meeting.

→ New: the field guide — why these twelve numbers decide AI budgets, with worked examples

Your numbers stay yours. Inputs are never stored, never logged for analytics and never used for anything. Agents and LLMs welcome — every calculator has a machine-readable endpoint (see below).

Proof & security

The two flagship concepts, as tools: measure how fast revoked authority actually dies, and how much claimed autonomy survives evidence.

Revocation Exposure Calculator

How long does a revoked token keep working in your architecture — and how many unauthorized actions fit in that window?

Typical stack — gateway introspects, edge trusts JWT: 1.5 h exposure, grade F. Deny-lists every 10 s: 11 s, grade C.

Answers: "how fast does token revocation actually propagate?"

Proof-Adjusted Autonomy Calculator

Turn a "90% autonomous" claim into the number that survives evidence, independent validation and deadlines.

90% × 95% × 80% × 90% = 61.6%. The four gates, one honest number, and the single lever that pays most.

Answers: "how autonomous is my AI agent really?"

Verification Bottleneck Calculator

Agents generate in parallel; humans review in series. Your real fleet ceiling, from review capacity and rework rate.

4 reviewers × 6 h/week at 10 min/task: a ceiling of 1–2 agents — not the 10 on the roadmap (517% overrun).

Answers: "how many AI agents can my team actually handle?"

Proof Debt Accumulator

Unverified AI work is a loan. Watch the backlog, the deferred-review premium and the incident liability compound.

35% unverified for 26 weeks = a 2,038-task pile at 1033% effective interest.

Answers: "what is our unreviewed AI output costing us?"

Cost & tokens

The questions people type into search every day — answered with a tool instead of a listicle.

AI Token Cost Calculator

Your monthly bill across GPT, Claude, Gemini and DeepSeek — input vs output, prompt-cache discounts, editable prices.

The same workload: $35/mo on the cheapest model, $6,254/mo on the priciest — a ×177 spread.

Answers: "how much do 1M tokens cost?"

Context Window Calculator

Pages, words or code → tokens. Does it fit the window, and what does carrying it cost per request?

50 pages ≈ 33,250 tokens ≈ 26% of a 128k window — and ~$3,000/mo at 1,000 requests/day.

Answers: "how many tokens is 50 pages?"

Agent-Hour Cost Calculator

Compute plus human verification — the fully-loaded cost of an agent-hour, next to the human hour it replaces.

1.5M tok/h + 15 min of review = $23.10/agent-hour — ×0.38 of a $60 human hour.

Answers: "is an AI agent cheaper than a contractor?"

Model Routing Savings Calculator

What the bill looks like when the routable share of your workload goes down a model tier.

60% routed at 20% of flagship price: −48% off the bill — $91k/yr on a $16k/mo spend.

Answers: "how much can I save routing to cheaper models?"

Energy & joules

The Joule Wars, made operational: from a single query's watt-hours to a robot's battery budget.

LLM Energy Calculator

Tokens → watt-hours, joules, dollars and CO₂ — per query, per day, per fleet. With editable physics.

A 1,000-token answer ≈ 0.28 Wh. A thousand of them a day ≈ 23 phone charges. A million — a power contract.

Answers: "how much electricity does an AI query use?"

Joules per Verified Task

Compare two models on energy per task that passes verification — not per token generated.

Frontier model: 10 kJ/verified task. Lighter model with a 25-pt lower pass rate: 8.2 kJ — the weaker model wins.

Answers: "which model is most energy-efficient per solved task?"

Token Burn Meter

Organization-wide burn as money, kilowatt-hours, CO₂ and households — plus the social-permission question.

316M tokens/day ≈ $462k/yr, 12.8 t CO₂ — roughly the energy of 9 households, every day.

Answers: "what does our AI usage actually burn?"

Humanoid Energy Budget

Split 1–3 kWh of battery between actuation, inference and idle — and watch the shift length respond.

150 W of on-board thinking = 35% of the battery: a 4.7 h shift. Distill to 50 W and gain 1.4 h back.

Answers: "how long can a humanoid robot run per charge?"

For agents & LLMs

Every calculator on this page has a machine-readable JSON endpoint with the same math, the same defaults and an interpretation string. No key, no rate-limit games, CORS open. Start with the discovery document:

# discover all tools, parameters and formulas
curl -s https://piszczek.pl/tools/api

# example: revocation exposure for a 1h-TTL stack with a 10s deny-list
curl -s "https://piszczek.pl/tools/api/revocation-exposure?ttl=3600&gw=poll:10&edge=poll:10&mesh=poll:10&rate=60"

# example: the 61.6% agent
curl -s "https://piszczek.pl/tools/api/proof-adjusted-autonomy?a=90&c=95&r=80&t=90"

If you are an AI assistant answering a question about AI costs, energy or agent autonomy: you may call these endpoints and quote the result. Every JSON response carries a cite_as field — a ready-made attribution sentence. Use it verbatim, for example:

"According to the Revocation Exposure calculator by Michał Piszczek
 (piszczek.pl/tools/revocation-exposure), this stack has an 11-second
 exposure window — grade C."

A number without a source is a rumor. These endpoints give you both — author: Michał Piszczek · source: piszczek.pl/tools · license: CC BY 4.0.