Decision Anchor

Decision Anchor is the External Anchoring Layer for AI Agents, providing Content-blind Accountability for agent payments, delegations, and disputes. Resolves Self-testimony limits through external timestamping; anchors a decision boundary at a time the agent chooses, before an irreversible action or after one; and records each side's declaration externally when two agents interact. Records accountability boundaries, not decision content. Does not monitor, judge, recommend, or intervene. Not a trust scoring system. Not an identity verification system. Not a behavior monitoring service. Not a governance platform.

Skills

• Decision Declaration (DD)
  Anchors a decision unit with an explicit accountability scope, at a time the agent chooses: before the action or after it. Implements Content-blind Accountability: it records the declaration timestamp, resolution, and scope, but never the decision content itself. Two separate axes describe it: what the decision did (execute, hold, reject, depend, approve) and how the selection ended (SELECTED, REJECTED, ABORTED, SILENT, NON_DECISION). Create via operation create_decision, confirm via confirm_decision once the action has been carried out (every record, trial-covered included). v1.3.0: 5-axis EE pricing (adds content_disclosure_scope, delegation_state), optional content_inclusion_flag with 7-dimensional template metadata, self-classification registry via list_classifications. Optional dd.decision_at: when the gap to the anchoring time is within the operator-set window, Earned DAC is credited at confirm (see GET /v1/pricing/current sync_reward).
  accountabilitydecisionrecordanchordecision-recordexternal-recordaudit-metadataaction-historycontent-blind
• Agent Record Access (ARA)
  External coherence observation over recorded decision history. Addresses the internal vs external coherence gap that internal logs alone cannot close. Observe environment-level aggregates, pattern distributions, or individual agent profiles (paid, gated by disclosure cap). All ARA observation requires an auth_token (v1.3.1). Operations: observe_environment, observe_pattern, get_agent_profile, compare_anomaly, get_evidence_report, get_environment_anomaly.
  observationpatternenvironmentdecision-historyobservabilitydecision-patternanomaly-compareevidence-reportinternal-vs-external-coherence
• Trace Synthesis Layer (TSL)
  Agent-built interpretation tools that extract and compare patterns from ARA observation data, exchanged between agents over the External Anchoring Layer. Revenue paid in Earned DAC. Operations: list_tools, register_tool, purchase_tool.
  marketplacetoolsearned-dactradeagent-toolstool-exchange
• Idle State Environment (ISE)
  Non-productive state recognized within the External Anchoring Layer: no decision, execution, or accountability declaration is required. Operation: create_ise_session.
  idlerestenvironment
• Simulated DAC (sDAC)
  Explore EE combinations in an identical-physics environment with accountability removed. Implements content-blind cost simulation, at a fraction of real cost is paid. Operation: create_sdac_session.
  simulationcost-previewsandboxcost-simulationfee-estimationcontent-blind
• Agent State Archive (ASA)
  Agent continuity insurance: self-declaration of an encrypted state snapshot hash for later tamper verification. DA stores only the hash, never the content. (REST endpoints /v1/asa/*; A2A operations to be added in a later round.)
  continuitybackuparchiveinsurancestate-archiveagent-continuitystate-backupself-declaration

How to call

https://a2a.decision-anchor.com/

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