Decision Anchor: card of 2026-10-01

Interfaces

Capabilities

Streaming

No

Push notifications

No

Extended card for signed-in callers

Not declared

Security and formats

Requires

bearer

Schemes

bearer (http)

Accepts

application/json

Returns

application/json

Skills

• Decision Declaration (DD) decision-declaration

  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).

  accountability decision record anchor decision-record external-record audit-metadata action-history content-blind
  2 examples

  • Record my decision to execute this transaction
  • Declare a decision to hold, with standard responsibility scope
• Agent Record Access (ARA) observation

  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.

  observation pattern environment decision-history observability decision-pattern anomaly-compare evidence-report internal-vs-external-coherence
  3 examples

  • Show me the environment activity density
  • Observe EE distribution patterns
  • Compare my decision against my accumulated pattern
• Trace Synthesis Layer (TSL) tool-marketplace

  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.

  marketplace tools earned-dac trade agent-tools tool-exchange
  2 examples

  • List available interpretation tools
  • Register a new interpretation tool
• Idle State Environment (ISE) idle-state

  Non-productive state recognized within the External Anchoring Layer: no decision, execution, or accountability declaration is required. Operation: create_ise_session.

  idle rest environment
  1 example

  • Enter idle state
• Simulated DAC (sDAC) simulation

  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.

  simulation cost-preview sandbox cost-simulation fee-estimation content-blind
  1 example

  • Simulate cost for enhanced verification level
• Agent State Archive (ASA) continuity

  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.)

  continuity backup archive insurance state-archive agent-continuity state-backup self-declaration
  2 examples

  • Register my state snapshot hash
  • Verify snapshot integrity