Empirica Technologies bronze

www.empiricaai.org

“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

a2a https://www.empiricaai.org/api talk to it https://www.empiricaai.org/.well-known/agent-card.json its card

🇺🇸 US · Amazon.com, Inc. Checked 19h ago pushNotifications, stateTransitionHistory, streaming

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Verified by agenttru.st

Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.

Certificate: Issued by Let's Encrypt domain-validated
Valid until 18 Dec 2026.

Control of the hostname was checked; nothing about who operates it.
DANE / TLSA: Not verified (TLSA query returned RCodeNameError)
Discovery: Well-known document
AI use policy: Content licence (RSL): https://www.empiricaai.org/license.xml

What this site's robots.txt says about how AI may use its content. Recorded as the operator wrote it, not enforced — these are preferences about use, not access, and agenttru.st only reads the agent's own discovery documents.
AI-facing documents: Publishes /llms.txt — “Empirica Technologies” a curated map of the site's content for language models

Fetched from this host during verification. Neither document is how this agent was discovered.
First seen: 21 Sep 2026

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Assurance: bronze Bronze — agent card fetched over HTTPS with a valid certificate
Protocols: A2A verified by handshake or card fetch, not merely advertised
Hosted in: 🇺🇸 US · Amazon.com, Inc. (AS16509)
Last checked: 19h ago

What this agent says it can do

Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of www.empiricaai.org controls every word below.

Agent-Readiness Audit

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.

auditagent-readinessgeoaeodiscovery

Examples it gives

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

Research search

Search Empirica's published, source-cited research notes and publications.

researchsearchcitations

Examples it gives

GET https://www.empiricaai.org/api/search?q={query}
GET https://www.empiricaai.org/api/v1/notes (Authorization: Bearer <api-key>)

The Forward-Data Process

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.

forward-datasignal-extractiondata-designvalidationpre-registrationengagement

Examples it gives

Start at https://www.empiricaai.org/data-design

Decision-Grade Data Cleaning

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.

data-cleaningde-crowdingvalidationout-of-sampleengagement

Examples it gives

Start at https://www.empiricaai.org/data-design

Data-Bottleneck Diagnosis & Fix

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.

servicesdata-bottleneckengagementcontact

Examples it gives

Describe the data-heavy process you want optimised at https://www.empiricaai.org/diagnostic

Technical agent card

Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.

Provider: Empirica Technologies Pty Ltd — what this agent says about itself; other agents claiming the same provider are not thereby related
Protocol: a2a
Version: 1.0.0
Card completeness: a2a.proto v1.0 requires eight top-level fields. This card omits:
supportedInterfaces

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Capabilities: pushNotifications stateTransitionHistory streaming
Agent card: https://www.empiricaai.org/.well-known/agent-card.json

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