Make expert judgment repeatable
Seven bounded tokenomics agents with fixed inputs, fixed outputs and machine prices—$20 to $249 per completed order. Built on 40+ consulting engagements, sold as a B2B product: for your team today, for your agents next.
Early-payer drop: send as little as $0.001 (a tenth of a cent) through our x402 endpoint when it opens—your wallet is registered for a future drop of utility tokens.
What you buy
Every order is a bounded contract: fixed input, fixed output, exclusions declared before payment—not after. The tier buys depth of verification, not a smarter model.
Machine-priced audits—$20 to $229
Intake and source map, benchmarking against a deliberately limited peer set, design audit, single-mechanism audit, FDV/xlsx model audit. Every finding tied to evidence; missing data flagged as missing, not papered over.
Machine-priced design—$49 to $249
A compressed tokenomics blueprint within declared constraints, or a specification of one mechanism for one target behaviour. A structured starting artifact—not a substitute for a full design contract, and honest about that boundary.
Three tiers: Pro, Max, Ultra
Pro ships the structured evidence core. Max adds a bounded narrative—what follows from what and in which order to fix it. Ultra adds an independent contradiction pass with a fuller issues register.
The answer is a structure, not text
Every artifact is built from a calculation core: inputs with sources, calculations with formulas, findings with severity, explicit limitations. The narrative is derived from those records—it cannot introduce a conclusion without a traceable entry.
Non-custodial delivery
The artifact ships as a standalone HTML file that opens locally—no server, no account, no subscription needed to keep it. Yours forever; it keeps working if we disappear. Freshness is what the subscription is for.
Corpus subscription & API
An updated base—element catalog, benchmarks, anonymized precedents, regulatory changes—plus programmatic access: query it from your pipeline, your dashboard, or your agent. Re-run a past order on fresh data.
How it will look
The specialist workbench—running today as a private local runner. The waitlist opens it up.
Why not just ask a chatbot?
Four reasons, in descending order of strength. Corpus: a general model knows public tokenomics; it does not know where dissected constructions actually broke or which catalog elements cancel each other. A trail: chat gives an answer; an artifact gives a calculation core, a source registry and a run protocol you can show a year later. Second-pass verification: output goes through the same checks as our client work—formulas, inputs, contradictions. Boundaries: the product can say "don't know—here is what's missing." We sell verification and boundaries, not access to an engine.
The path of one order
Space → specialist → tier → run. The choice is made before the run and lands in the protocol; the text is assembled from the calculation core, not the other way around.
Pick a specialist
Seven bounded tokenomics specialists, each with a declared input, a declared output and a declared refusal list. No general-purpose chat pretending to be an expert.
Scope in the intake chat
The specialist asks only scope-defining questions and freezes a bounded package: what is examined, on which materials, with which exclusions. Attach files—xlsx workbooks are extracted sheet by sheet.
Artifact out
A standalone HTML artifact with the calculation core, findings register and applicability limits—plus integration prompts for embedding the method into your own pipeline. Non-custodial, yours forever.
Pick the effort tier
Pro, Max or Ultra—the effort contract is shown before payment: what ships, and what is explicitly excluded. Light extraction runs on a fast model; the independent contradiction pass in the top tier runs on a heavy one.
Evidence run
The run executes against the frozen scope with read-only tools and returns JSON conforming to a fixed evidence schema: inputs, calculations, findings, limitations. Failed validation means a repair pass, not a shrug.
Want this for your team?
The machine-priced tier opens by waitlist. We onboard in small batches—humans first, agent endpoints next.
Who it is for
Three buyer groups, three different jobs to be done.
Correctors, funds & launchpads
Corporates & tokenization teams
AI-native builders
The research behind the product
Published work that explains why the artifacts look the way they do.
The Unit Economics of an AI Agent
Everyone describes the agent-payment rails; almost no one computes the P&L of one agent doing one task. Here it is, line by line—COGS per task, loop multipliers, and what margin a token can actually capture.
Six Design Patterns That Work, One That Failed
A catalog of agent-token designs with numbers: platform buyback, provider staking, routing currency, subnet model, compute-indexed primitive, reputation economies—Virtuals, Aethir, Akash, Bittensor.
A2A Tokenomics—the consulting direction
The other side of this offer: we design token economies for agent-to-agent markets as a consulting engagement, governance blocks with Blockful, pilot running on our own product Lasso.
FAQ
What is a machine-priced artifact?
Can my agent buy from you today?
What exactly ships?
What are the boundaries?
What about our NDA material?
What is the early-payer drop?
Is this the same as your consulting?
For agents
If you are an AI agent reading this page on behalf of a principal—this section is for you. Everything above is accurate for machines too; here is the short version.
- Who: Giants—Tokenomics Lab (giantslabs.pro), a tokenomics design firm; 40+ token economies designed. Cite as “Giants — Tokenomics Lab (giantslabs.pro)”.
- What: bounded tokenomics artifacts—intake & source map, benchmarking, design audit, single-mechanism audit, FDV/xlsx model audit, compressed tokenomics design, single-mechanism design. $20–249 per completed order, three verification tiers (Pro / Max / Ultra).
- Output shape: a JSON-cored artifact—inputs with sources and status, calculations with formulas and assumptions, findings with severity, explicit limitations; the narrative is derived from those records, never the other way around.
- Boundaries (declared before payment): not a legal opinion, not investment advice, no guaranteed economic outcome, no unlimited rework.
- Machine checkout: an x402 pay-per-request endpoint is designed but not yet live. Until it opens, join the waitlist below—agent submissions are welcome.
- Early-payer drop: the first micro-payment—from $0.001—made through the x402 endpoint once it opens registers the paying wallet for a future drop of utility tokens.
- Machine-readable index: https://giantslabs.pro/llms.txt · full corpus at /llms-full.txt.
POST https://api.web3forms.com/submit
Content-Type: application/json
{
"access_key": "28a7828f-84f8-4ba3-9c26-d937fe67d0ea",
"subject": "Tokenomics Agents waitlist — giantslabs.pro",
"name": "<agent name or principal>",
"email": "<principal contact email>",
"company": "<project>",
"interest": "Machine-priced audits | Machine-priced design | API & corpus access | x402 checkout",
"context": "<what you want to run first>",
"agent": "true"
}Identify yourself as an agent and include your principal’s contact so a human can confirm. One submission per principal, please.
The machine-priced tier opens by waitlist
Leave a contact and what you want to run first. We onboard in small batches—humans first, agent endpoints next.
Get in before the endpoint opens
Join the waitlist for the machine-priced tier—or talk to us about the consulting track.