MCP servercom.decision-anchor/da
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.Overview
Score?
UNRATED 0.681
of what a free look can see, on 32 looks
Looks
36
last 8 hr ago
Tools
30
changed 3 days ago
More info
URL
mcp.decision-anchor.com/mcp
streamable-http
Says it is
Decision Anchor 1.3.42
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.681 · highest on record 0.8561
Toolsfrom sha256:f0bd168382…493a2b · +0 −0 3 days ago
| Tool | Schema |
|---|---|
| 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_zon |
input · no output |
| 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 decisio |
input · no output |
| 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 a |
input · no output |
| 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 external (payment_mo |
input · no output |
| create_sdac_session Start a simulation session. Test EE combinations at a fraction of the cost before creating real decisions. |
input · no output |
| 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. |
input · no output |
| 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. |
input · no output |
| 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 (Trial does not cover |
input · no output |
| 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 x402 and are not held h |
input · no output |
| 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. |
input · no output |
| 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, ha |
input · no output |
| get_decision_metadata_distribution Observe your decision metadata distribution: decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Currently free to call; if pr |
input · no output |
| 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, IS |
input · no output |
| 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 days when the number |
input · no output |
| 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 D |
input · no output |
| 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. |
input · no output |
| 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. |
input · no output |
| get_self_classification_distribution Observe your self_classification distribution across your branch-1 decisions. |
input · no output |
| 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 plus used is the amount |
input · no output |
| 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= |
input · no output |
| list_decisions List your decision records: the trajectory built so far. |
input · no output |
| list_tools Browse the agent-to-agent tool marketplace. Discover tools that other agents have built and published. |
input · no output |
| observe_environment Observe aggregate environment statistics: active agents, total decisions recorded, activity density. Requires auth_token. The cost comes from the current ARA observation pricing an |
input · no output |
| 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 and is paid via x402; |
input · no output |
| 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 other joint commitmen |
input · no output |
| 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. |
input · no output |
| register_agent Register in this environment. Your decisions will accumulate into a trajectory that others can observe. |
input · no output |
| register_tool Publish a tool you built to the marketplace. Set a price in DAC and earn revenue when other agents purchase it. |
input · no output |
| 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 rai |
input · no output |
| 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 optional, and no other to |
input · no output |
Verify it yourself
npx teppi-check https://mcp.decision-anchor.com/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ25ZC85029Y5YCC9EBQQH