{
  "schema_version": "0.2.0",
  "seed_version": "0.1.0",
  "reviewed_at": "2026-09-12",
  "license": "MIT \u2014 original metadata and topology only; source documents excluded",
  "graph_schema": "https://toroiq.com/starter/seed.schema.json",
  "initializer": "https://github.com/nimitmehra/toroiq-website/blob/main/starter/seed.py",
  "network_access": false,
  "scheduling": false,
  "packs": [
    {
      "market": "macro",
      "title": "Macro transmission seed",
      "scope": "US and Indian monetary-policy pathways, plus oil-to-gasoline costs. A small structural map, not comprehensive global macro coverage.",
      "url": "https://toroiq.com/starter/seeds/macro.json",
      "node_count": 11,
      "edge_count": 9,
      "documented_count": 8,
      "hypothesis_count": 1,
      "source_count": 3,
      "focus_options": [
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          "id": "macro:fed",
          "label": "Federal Reserve"
        },
        {
          "id": "macro:fed-policy",
          "label": "US policy-rate stance"
        },
        {
          "id": "macro:credit",
          "label": "US borrowing conditions"
        },
        {
          "id": "macro:households",
          "label": "US household spending"
        },
        {
          "id": "macro:capex",
          "label": "US business investment"
        },
        {
          "id": "macro:inflation",
          "label": "US inflation"
        },
        {
          "id": "macro:oil",
          "label": "Crude oil costs"
        },
        {
          "id": "macro:gasoline",
          "label": "US gasoline prices"
        },
        {
          "id": "macro:rbi",
          "label": "Reserve Bank of India"
        },
        {
          "id": "macro:repo",
          "label": "India repo policy"
        },
        {
          "id": "macro:lending",
          "label": "Indian bank lending rates"
        }
      ]
    },
    {
      "market": "nse",
      "title": "NSE technology and banking seed",
      "scope": "Three Indian companies: TCS, Infosys and HDFC Bank; IT services, FX and lending research dependencies. Not an NSE-wide dataset.",
      "url": "https://toroiq.com/starter/seeds/nse.json",
      "node_count": 10,
      "edge_count": 10,
      "documented_count": 6,
      "hypothesis_count": 4,
      "source_count": 6,
      "focus_options": [
        {
          "id": "nse:TCS",
          "label": "Tata Consultancy Services"
        },
        {
          "id": "nse:INFY",
          "label": "Infosys"
        },
        {
          "id": "nse:HDFCBANK",
          "label": "HDFC Bank"
        },
        {
          "id": "nse:it-services",
          "label": "IT services and consulting"
        },
        {
          "id": "nse:banking",
          "label": "Banking services"
        },
        {
          "id": "nse:fx",
          "label": "Foreign-exchange exposure"
        },
        {
          "id": "nse:tech-spend",
          "label": "Client technology budgets"
        },
        {
          "id": "nse:repo",
          "label": "India repo policy"
        },
        {
          "id": "nse:lending",
          "label": "Indian lending rates"
        },
        {
          "id": "nse:loan-demand",
          "label": "Loan demand"
        }
      ]
    },
    {
      "market": "us",
      "title": "US cloud and compute seed",
      "scope": "Microsoft, Amazon and NVIDIA; cloud platforms, compute products and infrastructure questions. Not a complete supplier graph or US equity dataset.",
      "url": "https://toroiq.com/starter/seeds/us.json",
      "node_count": 10,
      "edge_count": 10,
      "documented_count": 7,
      "hypothesis_count": 3,
      "source_count": 3,
      "focus_options": [
        {
          "id": "us:MSFT",
          "label": "Microsoft"
        },
        {
          "id": "us:AMZN",
          "label": "Amazon"
        },
        {
          "id": "us:NVDA",
          "label": "NVIDIA"
        },
        {
          "id": "us:azure",
          "label": "Azure"
        },
        {
          "id": "us:aws",
          "label": "Amazon Web Services"
        },
        {
          "id": "us:data-center",
          "label": "NVIDIA data-center products"
        },
        {
          "id": "us:gaming",
          "label": "NVIDIA gaming products"
        },
        {
          "id": "us:cloud-demand",
          "label": "Cloud consumption"
        },
        {
          "id": "us:infrastructure",
          "label": "Datacenter infrastructure investment"
        },
        {
          "id": "us:ai-demand",
          "label": "AI workload demand"
        }
      ]
    },
    {
      "market": "crypto",
      "title": "Ethereum and lending seed",
      "scope": "Ethereum, ETH, Aave V3 and Circle/USDC; fee, staking and collateral mechanics. Not a token-price feed or comprehensive crypto universe.",
      "url": "https://toroiq.com/starter/seeds/crypto.json",
      "node_count": 10,
      "edge_count": 12,
      "documented_count": 11,
      "hypothesis_count": 1,
      "source_count": 4,
      "focus_options": [
        {
          "id": "crypto:ethereum",
          "label": "Ethereum"
        },
        {
          "id": "crypto:ETH",
          "label": "Ether (ETH)"
        },
        {
          "id": "crypto:gas",
          "label": "Ethereum transaction fees"
        },
        {
          "id": "crypto:burn",
          "label": "Base-fee burn"
        },
        {
          "id": "crypto:validators",
          "label": "Ethereum validators"
        },
        {
          "id": "crypto:circle",
          "label": "Circle"
        },
        {
          "id": "crypto:USDC",
          "label": "USDC"
        },
        {
          "id": "crypto:aave",
          "label": "Aave V3"
        },
        {
          "id": "crypto:collateral",
          "label": "Collateral values"
        },
        {
          "id": "crypto:liquidation",
          "label": "Borrow-position liquidation risk"
        }
      ]
    },
    {
      "market": "mf",
      "title": "India mutual fund research seed",
      "scope": "Indian mutual fund scheme and plan identity, expenses, debt risks and passive benchmarks. A conceptual research map; no named fund selection, NAV feed or personal allocation.",
      "url": "https://toroiq.com/starter/seeds/mf.json",
      "node_count": 12,
      "edge_count": 12,
      "documented_count": 11,
      "hypothesis_count": 1,
      "source_count": 3,
      "focus_options": [
        {
          "id": "mf:scheme",
          "label": "Mutual fund scheme"
        },
        {
          "id": "mf:direct",
          "label": "Direct plan"
        },
        {
          "id": "mf:regular",
          "label": "Regular plan"
        },
        {
          "id": "mf:portfolio",
          "label": "Underlying portfolio"
        },
        {
          "id": "mf:expenses",
          "label": "Plan expenses"
        },
        {
          "id": "mf:returns",
          "label": "Plan returns"
        },
        {
          "id": "mf:debt",
          "label": "Debt securities"
        },
        {
          "id": "mf:rates",
          "label": "Market interest rates"
        },
        {
          "id": "mf:nav",
          "label": "Scheme NAV"
        },
        {
          "id": "mf:credit",
          "label": "Issuer credit risk"
        },
        {
          "id": "mf:index-fund",
          "label": "Index fund"
        },
        {
          "id": "mf:benchmark",
          "label": "Benchmark index"
        }
      ]
    }
  ]
}