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ECCA

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com.eccaai/eccav1.0.1 Domain verified

Compare engine claims, inspect dissent and check study evidence for student questions.

Research & Knowledge Education

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ecca_bts_divergence

Measures lexical and semantic divergence across candidate assertions to penalize sycophancy.

assertionsarray, required

Array of candidate assertions or claims to measure divergence for.

ECCA MCP server | mcptry

Tools (12)

ecca_bts_divergence

Measures lexical and semantic divergence across candidate assertions to penalize sycophancy.

read-only

Argument	Type	Description
assertions*	array	Array of candidate assertions or claims to measure divergence for.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "assertions"
  ],
  "properties": {
    "assertions": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of candidate assertions or claims to measure divergence for."
    }
  },
  "additionalProperties": false
}

ecca_claim_protocol_validate

Check one ecca.claim-protocol 1.0 document for shape: versioned, engine slots only (no vendor names), split causes from the published taxonomy, question text only with consent, seal present. Returns ok with the error list; validates shape, never the record behind it.

read-only

Argument	Type	Description
document*	object	The protocol document to check (docs/CLAIM_PROTOCOL.md).

Input schema (JSON)

{
  "type": "object",
  "required": [
    "document"
  ],
  "properties": {
    "document": {
      "type": "object",
      "description": "The protocol document to check (docs/CLAIM_PROTOCOL.md)."
    }
  },
  "additionalProperties": false
}

ecca_decision_tournament

Evaluates multi-option decision matrix using minimax regret and Pareto ranking over candidate pathways.

read-only

Argument	Type	Description
options*	array	List of discrete options or strategic pathways.
decisionContext*	string	Context of the decision to evaluate.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "decisionContext",
    "options"
  ],
  "properties": {
    "options": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of discrete options or strategic pathways."
    },
    "decisionContext": {
      "type": "string",
      "maxLength": 32000,
      "description": "Context of the decision to evaluate."
    }
  },
  "additionalProperties": false
}

ecca_learning

Learning and study skills: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.

Argument	Type	Description
question*	string

Input schema (JSON)

{
  "type": "object",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1
    }
  },
  "additionalProperties": false
}

ecca_money

Money and business: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.

Argument	Type	Description
question*	string

Input schema (JSON)

{
  "type": "object",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1
    }
  },
  "additionalProperties": false
}

ecca_nutrition

Nutrition and supplements: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.

Argument	Type	Description
question*	string

Input schema (JSON)

{
  "type": "object",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1
    }
  },
  "additionalProperties": false
}

ecca_pre_mortem

Executes an adversarial pre-mortem identifying failure modes and early warning indicators using empirical argument verification.

read-only

Argument	Type	Description
premise*	string	The strategic plan, architecture, or business premise to stress-test.
horizonMonths	integer	Time horizon in months to simulate forward failure modes.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "premise"
  ],
  "properties": {
    "premise": {
      "type": "string",
      "maxLength": 64000,
      "description": "The strategic plan, architecture, or business premise to stress-test."
    },
    "horizonMonths": {
      "type": "integer",
      "default": 18,
      "description": "Time horizon in months to simulate forward failure modes."
    }
  },
  "additionalProperties": false
}

ecca_psychology

Psychology research: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.

Argument	Type	Description
question*	string

Input schema (JSON)

{
  "type": "object",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1
    }
  },
  "additionalProperties": false
}

ecca_refine

Use one keyed tier-quota slot to sharpen rough student questions without adding facts; return detected niches and refinement chips. A closed engine ceiling falls back locally.

read-only

Argument	Type	Description
text*	string

Input schema (JSON)

{
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1
    }
  },
  "additionalProperties": false
}

ecca_research

Use one keyed tier-quota slot and dispatch-ceiling reservation to fetch and grade studies from scholarly indexes; return fetched evidence and explicit gaps.

read-only

Argument	Type	Description
niche	string
question*	string

Input schema (JSON)

{
  "type": "object",
  "required": [
    "question"
  ],
  "properties": {
    "niche": {
      "enum": [
        "psychology",
        "learning",
        "nutrition",
        "money"
      ],
      "type": "string"
    },
    "question": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1
    }
  },
  "additionalProperties": false
}

ecca_synthesize

Compare answers from configured engines and inspect disagreement, with lexical similarity and final-answer agreement when measurable.

Argument	Type	Description
depth	string	intuitive and fast route to one engine; executive, pioneer and deep route a multi-engine dispatch (free callers: two engines first, expanding on measured divergence, one deep solve per day). Any other value is refused.
model	string	Label echoed in the result. Every value dispatches through the same registered engines; depth decides fast or multi-engine.
query*	string	The core inquiry, hypothesis, or decision challenge to synthesize.
antagonist	boolean	When true, forces one engine to act as adversarial red-team antagonist.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "depth": {
      "enum": [
        "intuitive",
        "executive",
        "pioneer",
        "fast",
        "deep"
      ],
      "type": "string",
      "default": "executive",
      "description": "intuitive and fast route to one engine; executive, pioneer and deep route a multi-engine dispatch (free callers: two engines first, expanding on measured divergence, one deep solve per day). Any other value is refused."
    },
    "model": {
      "enum": [
        "axiom-vector",
        "axiom-core",
        "axiom-reasoner",
        "axiom-omni",
        "axiom-sovereign"
      ],
      "type": "string",
      "default": "axiom-reasoner",
      "description": "Label echoed in the result. Every value dispatches through the same registered engines; depth decides fast or multi-engine."
    },
    "query": {
      "type": "string",
      "maxLength": 64000,
      "description": "The core inquiry, hypothesis, or decision challenge to synthesize."
    },
    "antagonist": {
      "type": "boolean",
      "default": false,
      "description": "When true, forces one engine to act as adversarial red-team antagonist."
    }
  },
  "additionalProperties": false
}

ecca_verify

Independently answer a question and compare the candidate against deterministic panel agreement. Show named dissent; spends one solve.

Argument	Type	Description
question*	string
candidate_answer*	string

Input schema (JSON)

{
  "type": "object",
  "required": [
    "question",
    "candidate_answer"
  ],
  "properties": {
    "question": {
      "type": "string",
      "maxLength": 8000,
      "minLength": 1
    },
    "candidate_answer": {
      "type": "string",
      "maxLength": 8000,
      "minLength": 1
    }
  },
  "additionalProperties": false
}