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Microgram: traffic-prediction-model

station__algovigilance__microgram-traffic-prediction-model native (always callable) algovigilance pv-core Constructa Configa

Predicts next-action priority for NexVigilant external traffic growth. Measures current state across 7 dimensions, classifies the bottleneck, and returns the highest-leverage action. Run weekly or before strategy sessions.

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	`algovigilance`
family	`mcp-tool-config`

Characteristics:

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

Input schema

repo_public booleanrequired — Is the Station source repo publicly accessible on GitHub?
descriptions_current booleanrequired — Do all public repo descriptions match actual tool count (1958)?
directory_listings numberrequired — Number of MCP directories where Station is listed
hop_default booleanrequired — Does chart_course recommend hop engine as primary onboarding path?
example_published booleanrequired — Is a public worked example with real unlabeled signal finding live?
calls_per_day numberrequired — Average daily external tool calls (not internal sessions)
framework_count numberrequired — Number of agent frameworks with NexVigilant integration examples

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__algovigilance__microgram-traffic-prediction-model",
    "arguments": {
      "repo_public": false,
      "descriptions_current": false,
      "directory_listings": 0,
      "hop_default": false,
      "example_published": false,
      "calls_per_day": 0,
      "framework_count": 0
    }
  }
}

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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All tools (7718 live)
/api/mcp — endpoint
/AGENTS.md — agent guide
/tools/algovigilance__microgram-traffic-prediction-model/raw.md — this page's Markdown twin