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run-transbeyesian-propagator

station__microgram__run-transbeyesian-propagator external (needs EXECUTION_BACKEND_URL) microgram pv-core Constructa Configa

Transbeyesian belief propagator: computes cross-domain signal updates using shared primitive structure (transfer_weight) as the propagation channel. posterior_B = prior_B * (1 + weight * evidence_A / threshold). Higher transfer weight + weaker prior = stronger update.

Taxonomy

Linnaean classification joined from the algovigilance taxonomy index via the parent config's rank.

Rank	Value
domain	`Substrata`
kingdom	`Constructa`
phylum	`Configa`
class	`station-config`
order	`microgram`
family	`mcp-tool-config`

Characteristics:

substrate: config
domain: pv
lifecycle: continuous
authority: read
compounding: producer
io: agent-request → tool-response

Input schema

source_prr numberrequired — Input parameter: source_prr
signal_threshold numberrequired — Input parameter: signal_threshold
prior_strength stringrequired — Input parameter: prior_strength
transfer_weight stringrequired — Input parameter: transfer_weight

Example call

POST /api/mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__microgram__run-transbeyesian-propagator",
    "arguments": {
      "source_prr": 0,
      "signal_threshold": 0,
      "prior_strength": "",
      "transfer_weight": ""
    }
  }
}

How to invoke from a client

From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.

Agent-friendly formats

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