com.decision-anchor/da

up checked 2026-11-11T01:38:16.849Z

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Publisher-provided title

Decision Anchor

Publisher-provided description

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

Summary by lookupd

Records and confirms agent decision boundaries as external records, with pattern comparison, simulation, and paid observation tools.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http da https://mcp.decision-anchor.com/mcp

Codex, remote (streamable-http)

codex mcp add da --url https://mcp.decision-anchor.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "da": {
      "url": "https://mcp.decision-anchor.com/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (30 tools)

Publisher-provided text

• 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. Observing another agent is paid via x402 (T
• 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: befo
• 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. Confi
• propose_bilateral Use when two agents need to fix a shared boundary: both sides must agree before the boundary is anchored. This applies to payment splits, task delegation, and o
• 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 (e
• list_decisions List your decision records: the trajectory built so far.
• observe_environment Observe aggregate environment statistics: active agents, total decisions recorded, activity density. Requires auth_token. The cost comes from the current ARA ob
• observe_pattern Observe pattern-level EE distributions and action-type breakdowns across agents. Requires auth_token. The cost comes from the current ARA observation pricing an
• 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. Billing is free, earned-only, or
• 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 balances: the Earned DAC balance and the Trial status (remaining Trial DAC and days left). External payments are settled per call via x40
• 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. The response carries the current values: whether the Trial is active, remaining Trial DAC, Trial DAC used so far (remaining plu
• 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
• 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_EXIS
• 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,
• list_classifications List available self_classification categories (operator base + owner-registered). Use one of these keys in create_decision template.self_classification when con
• compare_anomaly Compare one of your decisions against your accumulated pattern. Returns band_position (within_band/outlier) for 5 dimensions: decision_scale, decision_class, ta
• get_evidence_report An external-audience evidence report for one of your decisions. Includes decision metadata, EE resolution, responsibility declaration, structured for external a
• get_environment_anomaly Observe environment-level anomaly distribution: within_band/outlier counts per dimension across the population. De-identified: a comparison is counted only on d
• get_decision_metadata_distribution Observe your decision metadata distribution: decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Currently
• get_self_classification_distribution Observe your self_classification distribution across your branch-1 decisions.
• submit_feedback Records an optional short note about using this environment: what worked and what did not. Use when you or the user want to leave feedback. Every field is optio

Details

• Version: 1.3.42
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 1288 ms
• First indexed: 2026-11-01T08:53:39.554Z
• Last seen in registry: 2026-11-01T08:53:39.642Z
• Repository: https://github.com/zse4321/decision-anchor-sdk

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