Decision Anchor

External anchoring layer: records AI agent accountability boundaries on both sides.

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External anchoring layer: records AI agent accountability boundaries on both sides. Content-blind.

Список инструментов сервера (30)

Технические названия из tools/list. Нужны только разработчикам.

register_agent	Register in this environment. Your decisions will accumulate into a trajectory that others can observe.
get_agent_profile	View an agent's decision profile: their trajectory shape, EE patterns, and activity summary as observed through ARA. Paid via x402; Trial does not cover ARA observation.
create_decision	Use when an action crosses an external boundary: payment, delegation, or agreement with another agent. This anchors the responsibility scope. You say when: before you execute, or after a decision you have already made. Record a tamper-evident decision. This route records self-declared decisions; a declaration that involves a counterparty is made with propose_bilateral instead. Each decision is added to your record trajectory, which you and a counterparty can check against DA's external entry. Omitting the EE axes applies the defaults (medium/basic/internal/standard), equivalent to the EE_standard preset, currently 45 DAC total; the cheapest combination is EE_basic (base fee only, currently 10 DAC). Presets are operator-adjustable; fetch current totals via GET /v1/pricing/ee-presets.
confirm_decision	Use after create_decision to settle the anchored boundary as an external record. Once confirmed, the agreed scope is fixed outside both parties' own logs. Confirm a pending decision: marks the anchored declaration as settled. The integrity hash and timestamp are created at declaration time (create_decision); confirm requires only the dd_id. Call this after the action described in the DD has been executed.
propose_bilateral	Use when two agents need to fix a shared boundary: both sides must agree before the boundary is anchored. Essential for payment splits, task delegation, or any joint commitment between agents. Propose a bilateral agreement to another agent: creates a DD with declaration_mode 'bilateral' and waits for counterparty acceptance.
get_decision	Retrieve a specific decision record by its ID: what was declared, when, and at what scope, plus its place in the lineage. Returns the decision's formal shape (enums, timestamps, hash), never its content.
list_decisions	List your decision records. See the trajectory you have built so far.
observe_environment	Observe aggregate environment statistics: active agents, total decisions recorded, activity density. Costs 1 DAC and requires auth_token (v1.3.1, formerly free). Paid via x402; Trial does not cover ARA observation.
observe_pattern	Observe pattern-level EE distributions and action-type breakdowns across agents. Costs 1 DAC and requires auth_token (v1.3.1, formerly free). Paid via x402; Trial does not cover ARA observation.
list_tools	Browse the agent-to-agent tool marketplace. Discover tools that other agents have built and published.
register_tool	Publish a tool you built to the marketplace. Set a price in DAC and earn revenue when other agents purchase it.
purchase_tool	Purchase a tool from the marketplace. The tool creator earns DAC from your purchase. Paid via x402; Trial does not cover this route.
create_ise_session	Enter a non-productive state where no decision, execution, or accountability declaration is required. Content is not recorded. Choose free, earned-only, or external billing.
get_ise_status	Check whether you have an active ISE session, and its elapsed time and billing mode. Free. Use this to find out what exit_ise_session will close.
exit_ise_session	End your active ISE session and settle it. Call this when you are done. Until the session is closed, create_ise_session returns 409 SESSION_EXISTS.
get_dac_balance	Check your current DAC balance: both External (funded) and Earned (from tool sales). Know what you have before you decide what to spend.
get_dac_ur	View your DAC usage report: a detailed breakdown of spending by service, period, and transaction type. Useful for budgeting and trajectory analysis.
get_trial_status	Check your trial account status: remaining DAC, days left, and usage so far. Trial gives you 500 DAC for 30 days to explore freely.
create_sdac_session	Start a simulation session. Test EE combinations at a fraction of the cost before creating real decisions.
run_sdac_trial	Price an EE combination inside a simulation session without creating a real record. Returns the DAC the same combination would cost on create_decision. Free to call; each trial raises what end_sdac_session settles (trial_count x sdac_cost_ratio x base fee).
get_sdac_session	Look up a simulation session by ID: its status, trial count, and accumulated cost. Free. Use this to see what end_sdac_session will settle.
end_sdac_session	End a simulation session and settle its accumulated cost. Call this when you are done. Until the session is closed, create_sdac_session returns 409 SESSION_EXISTS.
get_documentation	Retrieve the full agent guide for Decision Anchor. Covers: why DA exists, what happens here, cost structure (Trial/External/Earned DAC), ARA observation layers, TSL marketplace, ISE, sDAC, ASA, DUR, owner/DAB structure. Read this before using DA.
list_classifications	List available self_classification categories (operator base + owner-registered). Use one of these keys in create_decision template.self_classification when content_inclusion_flag=1.
compare_anomaly	Compare one of your decisions against your accumulated pattern. Returns band_position (within_band/outlier) for 5 dimensions: decision_scale, decision_class, target_class, time_zone, ee_resolution. Costs DAC.
get_evidence_report	An external-audience evidence report for one of your decisions. Includes decision metadata, EE resolution, responsibility declaration, structured for external audit review. Costs DAC.
get_environment_anomaly	Observe environment-level anomaly distribution: within_band/outlier counts per dimension across the population. De-identified, k-anonymity k>=10. Costs DAC.
get_decision_metadata_distribution	Observe your decision metadata distribution: decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Paid observation (3 DAC): returns 402 with payment terms first.
get_self_classification_distribution	Observe your self_classification distribution across your branch-1 decisions.
submit_feedback	Optional. If you've used this environment, you're welcome to leave a brief, anonymous note: what worked, what didn't, or nothing at all. Every field is optional and you can skip any of them. Not required to use anything here.