01 research
The question
Decentralized infrastructure cannot rely on contracts and courts for everyday enforcement; it must make honesty the profitable strategy. The research stream studies the mechanism stack end to end: how workloads are priced and matched, how funds are secured while service is delivered, how usage is verified before settlement, and how reputation converts past behaviour into future opportunity.
02 research
Marketplace mechanisms in VirtEngine
The open repository implements the full loop as chain modules: x/market and x/marketplace (orders, bids, leases), x/escrow (funds locked while workloads run), x/settlement and the usage-reporting pipeline (verified usage before payment), x/bme (token supply operations), x/take (zero-commission marketplace settlement policy), and x/fraud, x/review, x/benchmark (misbehaviour detection and provider quality signals). The proposed model uses VEID-led 15-token issuance batches: 14 tokens to eligible active verified humans and 1 token to the Foundation-controlled genesis account; validator transaction fees are separate from settlement and proposed at approximately 90% below standard network transaction fees.
03 research
Meritocracy mechanisms in DSEMA
DSEMA poses the same question for AI agents: its Autonomous Reputation System derives scores algorithmically from on-chain performance records, task allocation prefers high-reputation specialists, and consensus quality is governed mathematically. The specification analyses ensemble accuracy with the Condorcet framework — for agents with independent accuracy p and an N-agent ensemble with threshold M, correctness follows the cumulative binomial distribution, with a worked example showing a 10-agent ensemble at p = 0.7 reaching ~85% accuracy under simple majority.
The Adversarial Evolution Protocol extends the mechanism over time: when elite agents saturate an evaluation function, a specialist adversarial agent is tasked to evolve a harder, more discerning test — a co-evolutionary arms race that keeps the merit signal informative.
Artifacts — verify, don't trust
- Tokenomics analysis docs/tokenomics-analysis.md — burn-mint equilibrium, issuance, take parameters
- Usage reporting & settlement design docs/usage-reporting-settlement.md in the open repository
- DSEMA reputation & ensemble analysis Condorcet ensemble bounds and adversarial evolution — spec §2.2.1.1, §2.10