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5 surfaces
Tools/Context & Session/get_graph_digest

get_graph_digest

Pre-computed graph analytics in one call: counts, health, chain completeness, business-area coverage, lifecycle balance. ~500 tokens vs ~5-8K for equivalent manual fetches.

Context & Sessionatomic (read-only)

Arguments

if_changed_sincestringoptional

Hash from a previous response. Returns { changed: false } if graph unchanged (saves ~470 tokens).

Returns

Shape
{ counts, health, chains, coverage, lifecycle, lens, lens_digest, _hash }

~500 tokens vs ~5-8K for equivalent manual fetches.

Examples

Live call against the Notion example graph.

Output

{
  "product": {
    "title": "Notion (SATURATED test graph)",
    "stage": "concept"
  },
  "counts": {
    "total_nodes": 2054,
    "total_edges": 3216,
    "by_type": {
      "product": 13,
      "capability": 20,
      "value_stream": 3,
      "decision": 13,
      "evidence": 10,
      "assumption": 30,
      "outcome": 6,
      "document": 9,
      "objective": 6,
      "key_result": 14,
      "design_component": 15,
      "hypothesis": 6,
      "experiment": 5,
      "experiment_plan": 13,
      "job": 10,
      "bounded_context": 13,
      "initiative": 11,
      "strategic_pillar": 6,
      "test_plan": 8,
      "screen": 15,
      "experiment_run": 18,
      "design_system": 4,
      "team": 1,
      "compliance_requirement": 5,
      "workspace": 3,
      "epic": 4,
      "bug": 6,
      "task": 3,
      "feature_area": 3,
      "mission": 2,
      "desired_outcome": 4,
      "model_comparison": 3,
      "agent_session": 3,
      "learning": 17,
      "research_plan": 6,
      "constraint": 3,
      "stakeholder": 10,
      "feature": 12,
      "security_review": 8,
      "metric": 23,
      "person": 215,
      "technical_debt_item": 12,
      "risk": 9,
      "service": 11,
      "opportunity": 7,
      "solution": 11,
      "feasibility_study": 3,
      "design_sprint": 3,
      "prototype": 8,
      "design_concept": 7,
      "vision": 1,
… (truncated)

See Also