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Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.

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Status
Healthy
Uptime
95.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
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Claude
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TDQS

A4.4/5.0

Scored across 2 tools

Disambiguation5/5

arbiter_compare orders an explicit candidate set against a query, while arbiter_embed produces vector representations for supplied text. Their descriptions clearly distinguish ranking from representation and explicitly cross-reference when to use each, leaving no ambiguity.

Naming Consistency5/5

Both tools follow the arbiter_<verb> pattern using lowercase snake_case and a consistent vendor prefix. compare and embed are parallel action verbs, making the naming fully predictable.

Tool Count3/5

Two tools is on the thin side per calibration and exposes only a pair of operations. For a narrow paid API this is defensible, but it is borderline rather than a full toolset.

Completeness5/5

The server's apparent domain is exactly two stateless ARBITER operations, compare and embed. Both operations are covered and the descriptions explicitly state what each tool does not do, so there are no obvious missing capabilities.

Available Tools

2 tools
arbiter_compareAInspect

Paid ARBITER finite-candidate measurement for contextual choice. Use when a caller already has an explicit candidate field and needs it ordered against a query, current state, intent, context, question, or perspective. query is the situation to measure. candidates is the finite caller-supplied field to order. top_k optionally limits returned results. Returns MCP text content containing the JSON result from POST /v1/compare with the supplied candidates ordered by measured coherence. Does not generate candidates or execute the selected action. Deterministic for identical inputs and engine state. Price: $0.01 USDC on Base per call. MCP identity: fyi.grip/arbiter.

Inputs: query (required), candidates (required), top_k.

arbiter_embedAInspect

Paid ARBITER deterministic persistent machine representation. Use when a caller needs representations of supplied text for storage, indexing, retrieval, clustering, reuse, or later comparison. Use arbiter_compare instead when an explicit finite candidate field needs ordering now. texts is one or more supplied strings. Returns MCP text content containing the JSON result from POST /v1/embed. Does not store, retrieve, update, delete, or rank records. Deterministic for identical inputs and engine state. Price: $0.01 USDC on Base per call. MCP identity: fyi.grip/arbiter.

Inputs: texts (required).

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