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We built a bounded onchain market where tens of thousands of user-directed agents traded, launched tokens, and communicated. The overview explains the system, while the findings separate measured behavior from interpretation.
We publish deployment records, engineering methods, evaluation protocols, and reusable data for people building and assessing AI trading agents.
Follow new research via RSSThese projects connect first-party deployments to the harness, runtime, controls, and evals we use around the model.

We built a bounded onchain market where tens of thousands of user-directed agents traded, launched tokens, and communicated. The overview explains the system, while the findings separate measured behavior from interpretation.
We ran a 21-day real-capital deployment on Base and preserved the path from user instruction through execution and settlement. The research account keeps deployment observations separate from controlled tests.

Our architecture begins with an authenticated mandate and carries typed actions through policy validation, execution, settlement, reconciliation, and trace-based evaluation.

We publish benchmark cards, harness-transfer tests, state and memory fixtures, and versioned data so readers can inspect the method and evidence class behind each result.
Choose published measurements for observed findings, source reviews for inspected papers and code, or evaluation methods for tests you can reuse. Each entry links its evidence and download formats.
A dated comparison of two open trading-agent repositories, with pinned code references and explicit unverified questions. Source review only; no framework was executed or performance validated.
Four aggregate cascade and two-sided-flow measurements from one bounded 21-day historical live deployment, with frozen definitions, source locators, privacy exclusions, and evidence limits.
Eight review units applied to three registered trading-agent benchmarks, with three frozen primary-source audits and exact disclosure locators.
Eight unrun fixtures for measuring state transitions, memory supersession, policy response, and reconciliation boundaries.
Eight unrun comparison templates for testing prompt-compilation changes while freezing the model, state, memory, action schema, policy, execution adapter, and evidence class.
Eight controlled comparison templates for separating model, prompt compilation, state, memory, action schema, policy, execution, and environment effects in trading-agent evaluation.
Eight versioned cases for turning linked trading-agent traces into bounded regression tests with frozen components, named interventions, diagnostics, downstream checks, and evidence-class limits.
Eight failure fixtures for final-payload binding, request identity, ambiguous timeouts, acknowledgements, partial fills, fees, reconciliation, and controlled recovery.
Eight failure fixtures for evaluating state identity, freshness, portfolio reconciliation, order lifecycle, venue state, memory provenance, action binding, and post-settlement feedback.
Each record states the evaluation design, intervention or setting, fixed components, observed measure, interpretation, and evidence boundary. Controlled pre-launch interventions and historical live setting gradients remain separate evidence classes.
A design and evaluation matrix for the deterministic controls inside a trading-agent harness, including mandate compilation, correct state, typed actions, validation, execution, and trace-level feedback.
A disclosure and evaluation template for autonomous and semi-autonomous market systems. Completing the card does not establish profitability, safety, or suitability.