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100
MCP live v1.2.4 streamable-http

Decision Anchor

com.decision-anchor/da

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

Uptime
14.3%
42 probes
Response
702ms
last probe
Tools
24
callable
Primary URL
https://mcp.decision-anchor.com/mcp

Tools · 24

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.

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. Reco…

confirm_decision

Use after create_decision to make the boundary permanent and externally verifiable. Once confirmed, neither side can deny the agreed scope. Confirm a pending decision — anchors the completion timestam…

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. Propos…

get_decision

Retrieve a specific decision record by its ID — see what was decided, the governance terms, and its place in the lineage.

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).

observe_pattern

Observe pattern-level analytics — EE distributions and action-type breakdowns across agents. Costs 1 DAC and requires auth_token (v1.3.1 — formerly free).

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.

create_ise_session

Enter an interactive sandbox session. Test decision strategies before committing real DAC. Choose free, earned-only, or external billing.

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 permanent decisions.

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

Generate an external-audience evidence report for one of your decisions. Includes decision metadata, EE resolution, responsibility declaration, and compliance standards (EU AI Act Article 12, GDPR Art…

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. Costs DAC.

get_self_classification_distribution

Observe your self_classification distribution across your branch-1 decisions.

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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"
    }
  }
}