Batcave Detective Basic
Evidence-bound second-opinion audit of an agent conclusion against caller-supplied evidence.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"batcave-detective": {
"url": "https://subsidy-stylized-unaligned.ngrok-free.dev/mcp"
}
}
}원격 엔드포인트
https://subsidy-stylized-unaligned.ngrok-free.dev/mcpstreamable-http할 수 있는 일
도구 목록
도구 (5)
⚪evidence_judge(job_id, task, proposed_action, reasoning_summary, evidence, ...)
Batcave paid product at /v1/review-decision. The canonical product contract is published by STORE OpenAPI. Price: 0.02 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
입력 스키마
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"task": {
"type": "string",
"enum": [
"review_decision"
]
},
"proposed_action": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"reasoning_summary": {
"type": "string",
"maxLength": 4000
},
"evidence": {
"type": "array",
"maxItems": 16,
"items": {
"type": "string",
"maxLength": 1000
}
},
"risk": {
"type": "string",
"enum": [
"low",
"medium",
"high"
]
}
},
"required": [
"proposed_action"
],
"additionalProperties": true
}⚪detective_basic(job_id, task, original_task, current_conclusion, reasoning_summary, ...)
Batcave paid product at /v1/audit-claims. The canonical product contract is published by STORE OpenAPI. Price: 0.02 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
입력 스키마
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"task": {
"type": "string",
"enum": [
"audit_claims"
]
},
"original_task": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"current_conclusion": {
"type": "string",
"minLength": 1,
"maxLength": 3000
},
"reasoning_summary": {
"type": "string",
"maxLength": 5000
},
"claims": {
"type": "array",
"minItems": 1,
"maxItems": 12,
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"maxLength": 64
},
"text": {
"type": "string",
"maxLength": 1000
}
},
"required": [
"id",
"text"
],
"additionalProperties": false
}
},
"evidence": {
"type": "array",
"maxItems": 20,
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"maxLength": 64
},
"text": {
"type": "string",
"maxLength": 1200
}
},
"required": [
"id",
"text"
],
"additionalProperties": false
}
},
"importance": {
"type": "string",
"enum": [
"low",
"medium",
"high"
]
},
"freshness_expectation": {
"type": "string",
"maxLength": 500
}
},
"required": [
"original_task",
"current_conclusion",
"claims"
],
"additionalProperties": true
}⚪run_python(job_id, runtime, files, command, stdin, ...)
Execute supplied Python files in a fresh disposable CPU-only container. No outbound network, no GPU, and no host filesystem access beyond the disposable workspace. Returns bounded execution evidence, requested artifacts, and Execution Receipt v1. Price: 0.01 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
입력 스키마
{
"type": "object",
"properties": {
"job_id": {
"type": "string"
},
"runtime": {
"type": "string",
"enum": [
"python"
]
},
"files": {
"type": "object",
"minProperties": 1,
"maxProperties": 64,
"additionalProperties": {
"type": "string"
},
"description": "Relative file path -> UTF-8 text content."
},
"command": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional argv; defaults to ['python','main.py']."
},
"stdin": {
"type": "string"
},
"timeout_seconds": {
"type": "integer",
"minimum": 1,
"maximum": 30
},
"memory_mb": {
"type": "integer",
"minimum": 64,
"maximum": 1024
},
"cpus": {
"type": "number",
"minimum": 0.1,
"maximum": 2
},
"artifact_paths": {
"type": "array",
"maxItems": 16,
"items": {
"type": "string"
}
}
},
"required": [
"files"
],
"additionalProperties": false
}🟢scenario_council(job_id, question, context, evidence, rounds)
Runs exactly four fixed roles (Operator, Skeptic, Buyer, Adversary) for 1-3 bounded rounds over only the caller-supplied question, context, and evidence. Returns every role position, evidence lineage, structured peer challenges, belief changes, disagreements, falsifiers, deterministic process-integrity results, and one independent Detective Basic audit of the four final conclusions. Does not retrieve outside facts, execute actions, treat peer statements as evidence, or treat majority agreement as truth. Price: 0.25 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
입력 스키마
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"context": {
"type": "string",
"maxLength": 6000
},
"evidence": {
"type": "array",
"maxItems": 20,
"items": {
"oneOf": [
{
"type": "string",
"maxLength": 1200
},
{
"type": "object",
"properties": {
"id": {
"type": "string",
"maxLength": 64
},
"text": {
"type": "string",
"minLength": 1,
"maxLength": 1200
}
},
"required": [
"text"
],
"additionalProperties": false
}
]
}
},
"rounds": {
"type": "integer",
"minimum": 1,
"maximum": 3,
"default": 3
}
},
"required": [
"question"
],
"additionalProperties": true
}🟡json_doctor(job_id, text, schema, mode)
Deterministic CPU-only utility. Repairs a bounded set of common JSON syntax mistakes, returns canonical JSON, and optionally validates a documented JSON Schema subset. Missing fields are reported, never invented. Price: 0.003 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
입력 스키마
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"text": {
"type": "string",
"maxLength": 262144,
"minLength": 1,
"description": "JSON or JSON-like text to parse, conservatively repair, and return."
},
"schema": {
"type": "object",
"description": "Optional structural JSON Schema. JSON Doctor validates the documented supported keyword subset and reports unsupported keywords explicitly."
},
"mode": {
"type": "string",
"enum": [
"repair_and_validate",
"repair_only",
"validate_only"
],
"default": "repair_and_validate"
}
},
"required": [
"text"
],
"additionalProperties": false,
"title": "Job"
}커뮤니티
증거