{
  "protocolVersion": "0.3.0",
  "name": "Empirica Technologies",
  "description": "Melbourne, Australia signal-extraction firm (ABN 76 698 226 247). We find weak predictive signal in noisy, high-dimensional data and prove it holds, delivered as a low-profile, embedded service one company at a time. Three services: (1) The Forward-Data Process — our flagship: we design, build, extract, and validate the uncrowded, decision-grade dataset you should be building for the decisions you are about to face (decision + counterfactual framing, experiment/causal design + instrumentation, signal finding, hypothesis testing + reproducible validation, an uncrowdedness diagnostic, and an accountable signed/dated/hash-verifiable freeze); (2) Decision-Grade Data Cleaning — we measure whether a cleaning step adds out-of-sample edge rather than re-deriving the crowd; (3) Data-Bottleneck Diagnosis & Fix — find the data-heavy step that leaks value, rebuild it with validated analysis, measure the gain. Cross-cutting moat: rigor-as-accountability (pre-registration + reproducible + hash-verified). You own your deliverable, your data, and the specific result we build for you; we retain our generalized, anonymized methods and tooling. Run by an agent fleet with our team in the loop for judgement. We also run a free, deterministic Agent-Readiness audit that scores any public site 0-100 on AI-agent legibility. Research evidence and validated analysis, not financial advice.",
  "url": "https://www.empiricaai.org/api",
  "preferredTransport": "HTTP+JSON",
  "version": "1.0.0",
  "provider": {
    "organization": "Empirica Technologies Pty Ltd",
    "url": "https://www.empiricaai.org"
  },
  "documentationUrl": "https://www.empiricaai.org/agents.json",
  "iconUrl": "https://www.empiricaai.org/icon.png",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "defaultInputModes": ["application/json", "text/plain"],
  "defaultOutputModes": ["application/json", "text/plain"],
  "skills": [
    {
      "id": "agent-readiness-audit",
      "name": "Agent-Readiness Audit",
      "description": "Score any public URL 0-100 on how legible it is to AI agents: llms.txt, AI-crawler access, sitemap, JSON-LD, semantic HTML, server-rendered content, A2A Agent Card, and content-licensing terms. Deterministic, computed from the live site. Free teaser at /benchmark; authenticated JSON at the endpoint below.",
      "tags": ["audit", "agent-readiness", "geo", "aeo", "discovery"],
      "examples": [
        "GET https://www.empiricaai.org/api/v1/agent-readiness?url=example.com  (Authorization: Bearer <api-key>)",
        "Try it free, no key, at https://www.empiricaai.org/benchmark"
      ],
      "inputModes": ["text/plain"],
      "outputModes": ["application/json"]
    },
    {
      "id": "research-search",
      "name": "Research search",
      "description": "Search Empirica's published, source-cited research notes and publications.",
      "tags": ["research", "search", "citations"],
      "examples": [
        "GET https://www.empiricaai.org/api/search?q={query}",
        "GET https://www.empiricaai.org/api/v1/notes  (Authorization: Bearer <api-key>)"
      ],
      "inputModes": ["text/plain"],
      "outputModes": ["application/json"]
    },
    {
      "id": "forward-data-process",
      "name": "The Forward-Data Process",
      "description": "Our flagship signal-extraction service: we design, build, extract, and validate the uncrowded, decision-grade dataset you should be building for the decisions you are about to face. Six stages — decision + counterfactual framing, experiment/causal design + instrumentation, signal finding in noisy high-dimensional data, hypothesis testing + reproducible validation, an uncrowdedness diagnostic, and an accountable freeze (signed, dated, hash-verifiable). Done for you, embedded, one company at a time. You own the deliverable, your data, and the specific result; we retain our generalized, anonymized methods and tooling.",
      "tags": ["forward-data", "signal-extraction", "data-design", "validation", "pre-registration", "engagement"],
      "examples": [
        "Start at https://www.empiricaai.org/data-design"
      ],
      "inputModes": ["text/plain"],
      "outputModes": ["text/plain"]
    },
    {
      "id": "decision-grade-data-cleaning",
      "name": "Decision-Grade Data Cleaning",
      "description": "Cleaning-as-de-crowding: we measure whether a cleaning step adds out-of-sample edge or is just re-deriving the crowd. Two-axis measurement — does the step add edge, and is that edge uncrowded against a validated consensus proxy — with the same rigor-as-accountability moat (pre-registered, reproducible, hash-verified). You own the result; we retain our generalized, anonymized methods.",
      "tags": ["data-cleaning", "de-crowding", "validation", "out-of-sample", "engagement"],
      "examples": [
        "Start at https://www.empiricaai.org/data-design"
      ],
      "inputModes": ["text/plain"],
      "outputModes": ["text/plain"]
    },
    {
      "id": "data-bottleneck-diagnosis",
      "name": "Data-Bottleneck Diagnosis & Fix",
      "description": "Find the data-heavy step in your process that leaks value, rebuild it with validated analysis, and measure the gain. A do-the-work-for-you engagement — a human scopes it; the agent fleet delivers, validated end-to-end. You own the deliverable and the specific result; we retain our generalized, anonymized methods and tooling.",
      "tags": ["services", "data-bottleneck", "engagement", "contact"],
      "examples": [
        "Describe the data-heavy process you want optimised at https://www.empiricaai.org/diagnostic"
      ],
      "inputModes": ["text/plain"],
      "outputModes": ["text/plain"]
    }
  ],
  "additionalInterfaces": [
    { "transport": "HTTP+JSON", "url": "https://www.empiricaai.org/api" }
  ],
  "x-empirica-note": "Discovery descriptor. Empirica exposes the skills above as documented REST (HTTP+JSON) endpoints (see /agents.json and /llms.txt), not a full JSON-RPC A2A task server. Endpoints shown with an API key require a free subscriber key (/account); /benchmark and /api/search are open.",
  "x-empirica-disambiguation": "Distinct from other organisations named Empirica or Empirica AI. Our domain is empiricaai.org (double-a) and our ABN is 76 698 226 247 (ABR: https://abr.business.gov.au/ABN/View?id=76698226247). Not Empirica Capital (former US hedge fund), empirica.com (German ICT research, Bonn), the Empirica academic journal, empiric.ai / EmpiricAI (industrial analytics), empirica.io (Polish algorithmic trading), getempirica.com, or empirical-ai.com."
}