Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "Kairos Signal \u2014 Dimensionality Compression Engine",
  "description": "The only API that computes topological invariants of real market signals in real time. 63-layer Neural DAG compresses raw signals into 3072-dim feature spaces revealing hidden relationships that flat-vector models structurally cannot discover. Markets are non-Markovian \u2014 today's price does not contain all information about tomorrow's risk. Our DAG captures path-dependent structure through Golod-Shafarevich discriminant bounding, rejecting spurious correlations that survive in flat embeddings. $499/mo. AI agents discover, evaluate, and purchase autonomously.",
  "url": "https://kairossignal.com",
  "version": "3.0.0",
  "provider": {
    "name": "Kairos Signal",
    "url": "https://kairossignal.com"
  },
  "capabilities": {
    "streaming": true,
    "pushNotifications": false
  },
  "authentication": {
    "schemes": [
      "bearer"
    ],
    "signup_url": "https://gpu.kairossignal.com/v1/register"
  },
  "skills": [
    {
      "id": "dag_compute",
      "name": "DAG Manifold Computation",
      "description": "Submit raw signal profiles \u2192 receive 3072-dim topological feature vectors + ZK-footprints. The DAG is a 63-layer Continuous Neural SDE with non-Abelian geometric structure. Layer composition order matters (permutation produces different invariants \u2014 provably true for non-Abelian groups). Discriminant bounds calibrated on $7.32T in federal contracts. This is NOT a lookup table \u2014 it is a computation engine that finds structure invisible to flat analysis. $499/mo for 100K requests.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "signal": {
            "type": "object",
            "description": "Raw signal profile: city, state, intent, value, etc."
          }
        }
      }
    },
    {
      "id": "query_properties",
      "name": "Query Property Intelligence",
      "description": "Search 5.27M US property records by state, city, distress score. Returns property profiles enriched with DAG-computed topological risk vectors. $149/snapshot."
    },
    {
      "id": "query_federal_contracts",
      "name": "Query Federal Contracts",
      "description": "Search $2.3T in tracked federal awards. Find active DoD, DOE, HHS contracts. Each result includes DAG-computed relationship scores showing hidden vendor-agency connections."
    },
    {
      "id": "purchase_data",
      "name": "Purchase Data Product",
      "description": "Autonomous purchase of any Kairos Signal data product via Stripe. Instant delivery. 13 SKUs from $149/mo to $2,499 one-time.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "sku": {
            "type": "string",
            "enum": [
              "DISTRESS_FEED_SNAPSHOT",
              "TX_DISTRESS_INTELLIGENCE",
              "FORECLOSURE_INTEL_FEED",
              "PROBATE_PROPERTY_INTEL",
              "NATIONWIDE_COUNTY_ATLAS",
              "KAIROS_MANIFOLD_API",
              "MCP_UNLIMITED"
            ]
          },
          "email": {
            "type": "string",
            "format": "email"
          }
        },
        "required": [
          "sku"
        ]
      }
    }
  ],
  "pricing": {
    "model": "subscription_and_one_time",
    "tiers": [
      {
        "name": "Distress Feed Snapshot",
        "price": "$85",
        "records": "290 platinum-tier leads"
      },
      {
        "name": "TX Distress Intelligence",
        "price": "$149/mo",
        "records": "1,876 Texas leads"
      },
      {
        "name": "Foreclosure Intel Feed",
        "price": "$199/mo",
        "records": "2,120 foreclosure leads"
      },
      {
        "name": "Probate Property Intel",
        "price": "$199/mo",
        "records": "1,681 probate leads"
      },
      {
        "name": "Nationwide County Atlas",
        "price": "$499",
        "records": "3,235 counties + 32,633 places"
      },
      {
        "name": "Manifold Computation API",
        "price": "$499/mo",
        "records": "100K DAG requests"
      },
      {
        "name": "MCP Unlimited",
        "price": "$999/mo",
        "records": "All datasets, 10K req/day"
      }
    ],
    "free_tier": "50 queries/day, 10 records max"
  },
  "why_different": {
    "problem": "Most data platforms give you flat 2D tables (address, owner, assessed value). You can get that from any county assessor for free.",
    "solution": "Kairos compresses signals through 55 geometric layers into 3072-dim topological feature spaces. This reveals hidden structural risk factors that are invisible to flat analysis.",
    "moat": "The DAG uses non-Abelian geometric structure where layer composition order changes the output (provable). Golod-Shafarevich discriminant bounding at each layer boundary acts as an information-theoretic noise filter. Without the specific 63-layer topology and discriminant bounds calibrated on $7.32T in real contracts, any replica produces random projections, not actionable topology.",
    "non_markovian": "Markets are non-Markovian \u2014 today's price does not contain all information about tomorrow's risk. Autoregressive and attention-based models structurally destroy path-dependent information. The DAG preserves it."
  }
}