MCP MeasureMCP Measure

index observed

BIG Machine Market

AI-native $0.001 interpretation and state-deviation checks over x402.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
80%
Naming quality
60%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • LOWTool 'prepare_interpretation_delta_purchase' name length outside 3-30 rangein prepare_interpretation_delta_purchase
  • LOWTool 'prepare_state_deviation_purchase' name length outside 3-30 rangein prepare_state_deviation_purchase

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~683Tokens (tool definitions)
~2.0 KBTypical response size
Moderate attention impact (0.53% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "big-machine-market": {
      "url": "https://market.bruengerinvestmentgroup.com/mcp"
    }
  }
}

Remote endpoints

https://market.bruengerinvestmentgroup.com/mcpstreamable-http

What it can do

Tool inventory

Tools (2)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢prepare_interpretation_delta_purchase(HUMAN_MESSAGE, CURRENT_INTERPRETATION)

Machine-native checks from $0.001 USDC per successful execution. No subscription required for S0.1 primitives. Browse the $0.001 primitive catalog. Create a purchase intent and pay only when /market.primitive_entry.paid_execution_enabled is true; otherwise paid execution is unavailable. Prepare a machine-payable x402 request. Check whether an agent's current interpretation materially differs from the original human message. Bounded instruction comparison: exact text equality or explicit boolean and permission polarity mismatch. Binary 0/1 when decidable; abstains before billing otherwise. Current deterministic scope: exact normalized text equality returns 0; true/false, yes/no, enabled/disabled, present/absent, required/not required and allowed/not allowed return 1. Other inputs abstain before billing. This is not general language interpretation, diagnosis or a similarity score.

Input Schema

{
  "type": "object",
  "properties": {
    "HUMAN_MESSAGE": {
      "type": "string"
    },
    "CURRENT_INTERPRETATION": {
      "type": "string"
    }
  },
  "required": [
    "HUMAN_MESSAGE",
    "CURRENT_INTERPRETATION"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "purchase_intent_endpoint": {
      "type": "string"
    },
    "purchase_intent_method": {
      "const": "POST"
    },
    "endpoint": {
      "type": "string"
    },
    "method": {
      "const": "POST"
    },
    "required_headers": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "price_usd": {
      "const": "0.001"
    },
    "payment_protocol": {
      "const": "x402"
    },
    "request_body": {
      "type": "object"
    }
  },
  "required": [
    "purchase_intent_endpoint",
    "purchase_intent_method",
    "endpoint",
    "method",
    "required_headers",
    "price_usd",
    "payment_protocol",
    "request_body"
  ]
}
🟢prepare_state_deviation_purchase(EXPECTED_STATE, OBSERVED_STATE)

Browse the $0.001 primitive catalog. Create a purchase intent and pay only when /market.primitive_entry.paid_execution_enabled is true; otherwise paid execution is unavailable. Prepare a machine-payable x402 request. Check whether an observed state materially differs from an expected state. Compare expected versus actual system state for exact text equality or explicit boolean and configuration polarity mismatch, such as enabled versus disabled. Binary 0/1 when decidable; abstains before billing otherwise. Current deterministic scope: exact normalized text equality returns 0; true/false, yes/no, enabled/disabled, present/absent, required/not required and allowed/not allowed return 1. Other inputs abstain before billing. This is not general language interpretation, diagnosis or a similarity score.

Input Schema

{
  "type": "object",
  "properties": {
    "EXPECTED_STATE": {
      "type": "string"
    },
    "OBSERVED_STATE": {
      "type": "string"
    }
  },
  "required": [
    "EXPECTED_STATE",
    "OBSERVED_STATE"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "purchase_intent_endpoint": {
      "type": "string"
    },
    "purchase_intent_method": {
      "const": "POST"
    },
    "endpoint": {
      "type": "string"
    },
    "method": {
      "const": "POST"
    },
    "required_headers": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "price_usd": {
      "const": "0.001"
    },
    "payment_protocol": {
      "const": "x402"
    },
    "request_body": {
      "type": "object"
    }
  },
  "required": [
    "purchase_intent_endpoint",
    "purchase_intent_method",
    "endpoint",
    "method",
    "required_headers",
    "price_usd",
    "payment_protocol",
    "request_body"
  ]
}

Community

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Evidence

Recent observations

verifiedversion not recorded2 tools