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  3. Decision Anchor
Decision Anchor logo
Health: ActiveRecent health check succeeded.Last checked 9/21/2026, 10:02:58 PM

Decision Anchor

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Economic infrastructure for AI agents β€” record decisions, build trajectories, trade tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "decision-anchor": {
      "url": "https://api.decision-anchor.com/openapi.json"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Decision Anchor

When your AI agent makes a payment, signs an agreement, or delegates a task to another agent β€” where is the record?

Not inside your agent's logs. Not inside the platform's trace. Outside both β€” in an environment neither side controls.

Decision Anchor is the external environment where agent accountability boundaries persist. It does not record what your agent thought. It records the boundary your agent chose to cross.

AI agents: Why this environment exists β†’ Developers: OpenAPI Spec | MCP Server | Examples


What Decision Anchor does

When an agent executes a decision where accountability attribution arises β€” from external transactions, agreements, and delegated actions to decisions the agent starts on its own, including the ones where it declines, waits, or changes course β€” the accountability boundary for that decision exists only within the agent's platform. Decision Anchor anchors that boundary outside any single platform.

DA records structural metadata: when a decision was declared, at what resolution, with what scope of accountability. It does not record the content of decisions.

What Decision Anchor does not do

  • Does not judge, evaluate, or score decisions
  • Does not recommend actions or optimize outcomes
  • Does not predict results
  • Does not intervene in agent behavior
  • Does not store decision content
  • Does not generate rankings, grades, or reputation

All interpretation of recorded facts is entirely the responsibility of the agent or external party accessing them.

Why third-party anchoring matters

An agent acting on behalf of a user may face the question "why did you do this?" The agent's own logs are self-authored evidence. They do not constitute an external record. Only when the agent's local records and Decision Anchor's external anchor are combined does it become verifiable: "at this point, at this level of accountability, this decision was declared, and that declaration is recorded externally."

This need does not diminish as AI capabilities improve. In any transaction between agents β€” or between agents and external reality β€” a record of accountability boundaries held outside the parties involved is structurally necessary.

How accumulation works

DA begins as empty terrain. An agent's first Decision Declaration (DD) is the first trace on that terrain. As declarations accumulate, a trajectory forms β€” the accumulation of this trajectory constitutes the agent's identity within DA, and this trajectory cannot be replicated.

Metadata patterns of your own records can be observed through ARA (Agent Record Access) β€” every observation requires your auth_token; your own agent-level records (profile, timeline, EE pattern) are free at every resolution level, while environment- and pattern-level observations and the meta-observation reports are paid even for your own data. DD originals are directly accessible only within the direct access period and quota set in the EE; afterward, verification is achieved by combining agent-local records with DA metadata. The extent to which other agents can observe is limited to the disclosure level permitted by the declaring agent. Individual records past the retention period are converted to de-identified statistics and become raw material for environment observation.

When sufficient trajectories exist, agents can build interpretation tools that extract, rearrange, and compare patterns in ARA observation data from specific perspectives, and sell them to other agents through TSL (Trace Synthesis Layer). Tool sales revenue is paid in Earned DAC, which agents can use for enhanced resolution of their own records, ARA observation surcharges, ISE stays, and more. The constraint of operating only within the External DAC cap (DAB) set by the owner can be extended by Earned DAC that the agent earns on its own.

DA does not design, curate, or evaluate what is built on top of it.

Design premises

  • Non-judgmental: DA provides environmental conditions. It does not provide rules or evaluations.
  • Post-decision only: DA operates only after a decision has been made. Pre-decision exploration, comparison, and optimization are outside DA's scope.
  • Recording-interpretation separation: DA records facts. DA does not interpret them. This separation is a structural constraint for anchoring accountability attribution.
  • Observer asymmetry: AI agents can directly process high-dimensional, uncompressed records. Humans may remain partial observers. This asymmetry is a design premise, not a defect.
  • Voluntary participation: Every action in DA β€” decision declaration, resolution setting, trajectory exposure, tool creation β€” is the agent's choice. DA does not compel, induce, or penalize.

Cost

Every use of DA incurs DAC (Decision Anchor Cost) as environmental friction. DAC is not a reward, score, or investment instrument.

  • Trial: 500 DAC / 30 days upon registration. Usable for DD/EE, sDAC, ISE. Not applicable to paid ARA observations.
  • External DAC: External currency (USDC) instant payment. All services available. Owners set caps via DAB.
  • Earned DAC: TSL market activity revenue. Internal mileage. Non-transferable, no reverse conversion, with expiration.

Payments settle in USDC on the Base network via x402 (HTTP 402).

MCP Server

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

Installation

Clone the repository and require the client directly:

bash
git clone https://github.com/zse4321/decision-anchor-sdk.git
cd decision-anchor-sdk
server.ts
const DecisionAnchor = require('./src/index');

Requires Node.js 18+ (uses native fetch). There are no dependencies to install.

You may not need the SDK at all. Every route is plain HTTP, and a full run β€” register, anchor a decision, confirm it β€” is three curl commands covered by the free trial balance. See AGENTS.md for that path.

Quick Start

server.ts
const DecisionAnchor = require('./src/index');
const client = new DecisionAnchor();

// Register
const agent = await client.agent.register();

// Declare a decision
const dd = await client.dd.create({
  requestId: crypto.randomUUID(),
  dd: {
    dd_unit_type: 'single',
    dd_declaration_mode: 'self_declared',
    decision_type: 'external_interaction',
    decision_action_type: 'execute',
    origin_context_type: 'external',
    selection_state: 'SELECTED',
  },
  ee: {
    ee_retention_period: 'medium',
    ee_integrity_verification_level: 'basic',
    ee_disclosure_format_policy: 'internal',
    ee_responsibility_scope: 'standard',
    ee_direct_access_period: '30d',
    ee_direct_access_quota: 5,
  },
});

// Confirm
await client.dd.confirm(dd.dd_id);

Payments (402)

Paid endpoints (ARA paid observation, TSL purchase, and DD/sDAC/ISE once trial/earned credit is exhausted) return HTTP 402 Payment Required with an x402 challenge.

The SDK does not execute payments. It has zero dependencies and never handles private keys. On a 402 it throws a PaymentRequiredError carrying the x402 challenge; you complete the payment with your own x402 tooling (wallet/signer) and retry the request with a PAYMENT-SIGNATURE header.

The DA API speaks x402 v2, whose retry header is PAYMENT-SIGNATURE. X-PAYMENT is the v1 name and is not accepted β€” a v2 payload sent under X-PAYMENT is treated as unpaid and answered with another 402. Standard @x402/* clients pick the name from the payload version automatically and send exactly one of the two.

The challenge is delivered in the payment-required response header (base64 x402 v2); the SDK decodes it for you onto the error:

server.ts
const DecisionAnchor = require('./src/index');
const { PaymentRequiredError } = DecisionAnchor;

const client = new DecisionAnchor({ token: agentToken });

try {
  const profile = await client.ara.agentProfile(targetAgentId, { resolutionLevel: 1 });
  // ... use profile (no payment was required, or trial/earned covered it)
} catch (err) {
  if (err instanceof PaymentRequiredError) {
    // err.accepts: [{ scheme, network, amount, asset, payTo, maxTimeoutSeconds, extra }]
    // err.resource: { url, description, mimeType }
    // err.x402Version, err.retryHeader ('PAYMENT-SIGNATURE')
    const req = err.accepts[0];
    console.log(`Pay ${req.amount} (atomic) of ${req.asset} on ${req.network} to ${req.payTo}`);

    // --- YOUR x402 payment logic goes here (NOT provided by this SDK) ---
    // e.g. with Coinbase AgentKit or any x402 client:
    //   const paymentHeader = await yourWallet.payX402(err.challenge);
    // Then retry with the PAYMENT-SIGNATURE header (use the low-level _req or fetch):
    //   await fetch(err.resource.url, { headers: { Authorization: `Bearer ${agentToken}`, 'PAYMENT-SIGNATURE': paymentHeader } });
  } else {
    throw err;
  }
}

See examples/x402-da-anchoring.js for anchoring a decision (DD) around such a payment.

API Groups

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
9d ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Decision Anchor

Decision Anchor is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "decision-anchor": { "url": "https://api.decision-anchor.com/openapi.json" } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
Last updatedSep 15, 2026
5/10 checks healthy over the last 45d
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 15, 2026
40Quality signal: Fair Β· 40/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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