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MCP live v1.2.4 MCP 2025-11-25 streamable-http

Decision Anchor

com.decision-anchor/da

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

Uptime
100.0%
1 direct probes · 30d
Response
1792ms
last probe
Tools
30
callable
Resources
0
readable
Prompts
0
available

Tools · 30

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 your agent is about to execute an action that crosses an external boundary: payment, delegation, or agreement with another agent. This anchors the responsibility scope before execution. Recor…

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 anchore…

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…

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 conte…

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 AR…

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_se…

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, o…

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. Co…

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 paymen…

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 requi…

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "decision_anchor": {
      "url": "https://mcp.decision-anchor.com/mcp",
      "transport": "streamable-http"
    }
  }
}