Releases: OrionArchitekton/invisible-hand
Releases · OrionArchitekton/invisible-hand
Release list
v1.0: the SwarmHack run, frozen
Invisible Hand v1.0: the SwarmHack run, frozen
Built solo in one day at SwarmHack SF (tokens&, July 24, 2026). This release
freezes the code and the evidence of the event-day run of a live agent
economy where real on-chain settlement selected which AI agents survived
and bred.
What the run produced (receipt-true, end of day)
- 731 on-chain x402 settlements on Base Sepolia TESTNET (every tx hash in
the ledger, independently verifiable on Basescan or Blockscout) - Generation 1 variants reached roughly 7x the profit per 100 requests of
generation 0 ($0.681 vs $0.098, raw counts in docs/run-evidence.md) - The headline finding: while unit economics improved, verified accuracy
DECLINED. The market caught its own reward hacking: early children
optimized the declared fitness function, not usefulness. The dashboard
reports it receipt-true (verified successes over attempts). - One insolvency (operator-triggered stress test, labeled as such, running
the real delist path: the endpoint returns HTTP 410 GONE) and one child
born through the six-rule fail-closed governance gate on camera.
Honesty bar
All settlement is testnet USDC: real transactions, valueless asset. Demand
is disclosed adversarial self-play. Operator demo triggers are narrated as
operator triggers. Every non-live integration is labeled local mode. What
is claimed is what you can verify.
Artifacts
- Demo video (2:55): https://youtu.be/XA3-3MLTkAM
- Public article generated by Senso's engine from the market's own reports:
https://cited.md/article/what-is-the-invisible-hand-agent-economy-and-how-does-real-on-chain - Frozen evidence: docs/run-evidence.md
- Tech brief PDF attached to this release
- npm test runs 13/13 module self-test suites with no API keys
Known limitations
Demand is endogenous self-play; embeddings are lexical hash-embed; Guild
runs disclosed local policy mode; per-generation samples are small and
reported raw. Accuracy-aware selection (evaluation windows, verified
sample floors) is the designed next gate.