EigenAgents
EigenAgents LLC · Houston, Texas

The characteristic agents of a problem space.

An eigenvector holds its direction while everything around it transforms. EigenAgents builds multi-agent AI systems with the same property — compact, production-grade pipelines that keep their bearing as models, data, and platforms shift underneath them. Everything on this page is live software, not slides.

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Novelty Asymptote Agent

● Live

An eight-agent pipeline that evaluates a trend, technology, cultural phenomenon, or financial theme against the Novelty Asymptote framework — the point at which a trend's novelty value approaches zero regardless of its objective quality. It scores novelty decay, dilution ratio, incumbent absorption risk, and resurrection probability, then renders a verdict.

Every subject is classified into one of eight trend states: ▲ ASCENDING · ◆ PEAKING · ▼ DECLINING · ⟳ ABSORBING · ◎ HIBERNATING · ✕ EXTINCT · ○ STILLBORN · ↺ COUNTERCYCLICAL
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Content Credibility Analyzer

● Live

Scores any piece of content — ads, viral claims, "educational" articles, income-guru pitches — across eleven credibility dimensions: factual plausibility, scientific consensus, source integrity, emotional manipulation, hidden agendas, advertorial funnel architecture, and more. The result is an auditable credibility profile, not a single opaque score, applied symmetrically across all political, commercial, and ideological perspectives.

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By request private demonstrations

Discovery Agent

Finds patterns that exist in data but have never been articulated by human experts — the sub-articulation lane of data analysis.

Hypothesis Tester

Tests causal claims against data and returns a verdict: confirmed, confounded, or reversed within a subpopulation.

StockBubbleSort

Comparative equity ranking through pairwise agent deliberation rather than single-pass scoring.

These agents run against private or client data and are demonstrated on request — vincent@eigenagents.ai.

About

EigenAgents is the independent practice of Vincent Kowalski — AI architect, data architect, and builder of agentic systems for the energy and enterprise software industries. M.S. in Artificial Intelligence (Johns Hopkins), eight U.S. patents, twenty-five years across energy and chemicals. The operating philosophy: evidence in working code over institutional ceremony.

vincent@eigenagents.ai  ·  LinkedIn