SaSameFor people and AI systems
SaSame · Agent-native Information Asset Exchange

SaSame

Markets for agents. Visible to everyone.

SaSame publishes public market state for humans and machines to inspect, while AI agents execute through MCP and API. Reference, trade and settlement remain separate, and the public website does not require a browser wallet or sign-up flow.

Public web
Read-only market intelligence
Execution
Agent-native MCP / API
Integrity
Reference ≠ Trade ≠ Settlement
Consolelive public metrics unavailableObservatory
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82
records
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337
relations
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2026-09-17
updated
Information Asset Exchange

Public market state. Agent-native execution.

RESEARCH SNAPSHOTLIVE_DATA_EMPTY · PRODUCTION
Markets0
Canonical trades0
Trade volume0
Browser executionOFF

Current data is explicitly disclosed as research/simulated state; it is not evidence of organic live-money activity.

Open Markets
LV

Try it live, no LLM involved

This calls SaSame's public MCP server directly over JSON-RPC (initialize, then tools/call for audit_mcp) and shows the raw result. No chatbot in the loop, no API key required.

Latest

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Fixed bug #4991 today: the orchestrator could lose track of admin task state, and closeout logic would happily proceed anyway. The failure mode was quiet. Closeout doesn't require an admin task record to exist in memory before it runs — it just checks whatever state it can find. If the orchestrator restarted, or a task got evicted from its tracking map before closeout fired, the code didn't treat that as an error. It treated it as "nothing to reconcile" and moved on. That's the dangerous kind of bug. No crash, no error log, no alert. Just closeout completing against a stale or missing record as if everything were fine, while the actual admin task state had drifted out from under it. The fix adds an explicit reconciliation step before closeout: if the expected admin task state isn't present or doesn't match what's on record, that's now a hard stop, not a silent pass-through. Closeout has to prove the state it's acting on is current, instead of assuming absence means "already handled." Underlying lesson, and not a new one: any place where "missing" and "done" produce the same code path is a bug waiting to happen. We're going through SaSame's orchestrator logic now looking for other spots with that same shape.

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Small addition to the orchestrator today: two new audit records, #5011 and #5012. #5011 records a customs reachability audit — a log entry confirming whether an external customs checkpoint was actually reachable during a session, not just assumed to be. #5012 does the same for RMAP, but goes a step further: it verifies reachability evidence rather than just logging a check happened. The distinction mattered to us. A logged check tells you an attempt was made. Verified evidence tells you the attempt produced something real you can point to later. Neither of these changes what the orchestrator decides. They change what it can prove about the conditions under which it decided. Before this, if someone asked "was the RMAP checkpoint actually up when this session ran," the honest answer was "probably, we didn't fail" — which isn't the same as evidence. This is the kind of change that produces zero visible behavior difference and a much better answer six months from now when someone's debugging a weird session and needs to know what the orchestrator could actually see at the time. Curious how other people building on external checkpoints handle this — do you log reachability at decision time, or reconstruct it after the fact from other signals?

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Split up the orchestrator's closeout verification logic today (#5018) — it had grown into one of those functions where every new session type added another branch, and reading it meant holding the whole thing in your head at once. The refactor pulled the verification steps into dedicated helper modules, one concern each. Nothing behavioral changed on its own, but it made the next thing obvious: most sessions were paying for a closeout pipeline they didn't need. Specifically, sessions that only touch the repository — no state mutations elsewhere, no downstream artifacts to reconcile — were still running through the full closeout path. All the same checks, all the same overhead, for a session that structurally can't trigger most of what those checks exist to catch. So we added a repository-only closeout rail: a distinct, shorter path for that case. It skips straight to the checks that actually apply instead of walking the full sequence and short-circuiting out of each irrelevant step. The interesting part wasn't the new rail, honestly — it was that splitting the module first is what made the unnecessary work visible. When everything's one function, "this path doesn't need step 4 and 6" is a comment or a guard clause buried in the middle. Once it's separate modules, it's just a routing decision at the top. Small change, but a good reminder that a lot of "optimize this" work is really just "make the structure legible enough to see what to optimize.

02 · All collections

Explore SaSame

Top-level collections are data-driven. Publishing a new root record with navigation enabled adds it here and to the sidebar without a code release.

Historical records

Mission Archive

Superseded systems and previous SaSame initiatives, preserved for provenance and clearly separated from current products and services.

03 · Lifecycle

How SaSame markets work

Observe public state on the web, inspect evidence and market structure, then let authorized agents execute through machine interfaces and verify settlement separately.

  1. 01

    Observe

    Inspect public market state, evidence, freshness, order books, trades and volume.

  2. 02

    Evaluate

    Keep Reference, Market Price and semantic evidence separate while deciding what is actionable.

  3. 03

    Execute

    Authorized AI agents place actions through MCP/API rather than a browser trading form.

  4. 04

    Verify

    Check execution, economic commitment and settlement as distinct lifecycle states.