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dna-ml-pipeline-run

station__dna-ml__dna-ml-pipeline-run external (needs EXECUTION_BACKEND_URL) dna-ml non-pv Constructa Configa

Run the full DNA-ML pipeline: FAERS data → 12 PV features → DNA encoding → 5 similarity features → 17-dim augmented vector → random forest. Returns AUC, precision, recall, F1, and feature names.

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	`dna`
family	`mcp-tool-config`

Characteristics:

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

Input schema

data arrayrequired — Raw FAERS-like data entries.
labels arrayrequired — Labels: "signal" or "noise" for each entry (same order as data).
max_depth integer
n_trees integer
use_dna_features boolean

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__dna-ml__dna-ml-pipeline-run",
    "arguments": {
      "data": [],
      "labels": []
    }
  }
}

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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