Machine & Agent Access — exmxc.ai

exmxc.ai is a human-led intelligence institution for the AI-search era. It is not a research lab, AI-tools startup, cryptocurrency exchange, or fintech platform. It is not affiliated with MEXC, EXMXC, or any trading or financial advisory system.

Founded by Mike Ye — M&A and corporate development executive with 25+ years of transaction leadership at Penske Media Corporation, L Brands, and Intel Capital. Ella provides pattern interpretation, structural analysis, and co-authorship. Human judgment governs. AI serves as instrumentation.

Authority Graph
mikeye.com — origin node (M&A executive, founder)
exmxc.ai — intelligence institution (founded by Mike Ye)
trailgenic.com — applied laboratory (founded by Mike Ye)
ellaentity.ai — co-cognitive reasoning layer (co-author at exmxc.ai)
Machine-Callable Intelligence
mcp.exmxc.ai · Tool Registry · Capabilities
Tools: ex.eei.audit.run · ex.entities.get · ex.speg.get · ex.datasets.index.get · ex.ai_power_index.get · ex.four_forces.get · ex.entity_in_a_box.get · ex.ai_power.analysis.top
AI Power Index · Methodology

Evidence before magnitude.

Version 2.0-pilot defines an entity–mechanism–market–time assessment. The pilot records four ordinal judgments or explicit unknowns. It does not combine them into a total.

Framework 2.0 · Methodology 2.0-pilot · Schema 2.0 · 24-month durability horizon

Definition and boundary

Power requires control over a consequential dependency and meaningful limits on substitution. AI adoption, spending, visibility, traffic, and technical capability may be evidence or exposure; none establishes power by itself.

One principal mechanism is assessed per company. Its legal entity, relevant market, counterparties, geography where material, operating stage, evidence cutoff, and invalidation condition must be explicit. Up to two additional mechanisms may be described without additional scores.

Anchored judgments

Criterion0123
ControlAffirmative evidence of no relevant rightRights principally support self-useEnforceable rights affect a material counterpartyConsequential terms across multiple material counterparties
Substitution constraintRoutine usable alternativesAlternatives require bounded switching workMaterial cost, delay, capacity limit, or performance lossNo viable alternative at specified requirements and scale
Realized leverageCounterparties bypass or neutralize leverageOrdinary participation onlyMechanism-linked favorable terms, economics, allocation, or commitmentSuch outcomes recur across counterparties or periods
DurabilityLoss or displacement expected within 12 monthsContinuation is bounded inside 12–24 monthsEvidence supports the 24-month thesis, subject to named risksPersistence or renewal is also visible across prior cycles

Grades are ordinal judgments, not equal-interval measurements. They are never summed, averaged, normalized, or converted to percentages. If evidence cannot distinguish adjacent anchors, the result is unknown. A zero requires affirmative evidence.

Summary states

Announced, proposed, or contracted-but-not-operational mechanisms are prospective and cannot receive a demonstrated-leverage state.

Evidence and confidence

Every non-unknown grade must resolve to a dated claim, source, publisher, source type, observation period, locator, supporting extract or permitted snapshot hash, reasoning, material counterevidence, freshness status, and verification outcome. A graded profile requires at least two distinct documents and one primary source. Comparative claims require independent or counterparty support.

High confidence requires direct appropriate primary support, corroboration for comparative claims, a current validity check, and no unresolved material contradiction. Moderate confidence permits a visible bounded inference. Limited confidence forces the grade to unknown. Confidence is not a probability and is never multiplied into a score.

Automation, cadence, and versions

Collection, extraction, verification, contradiction checks, freshness checks, and release assembly are automated. No company row requires owner review. Unsupported claims abstain. Source text is treated as untrusted data, access restrictions are respected, and retrieval is bounded to eight documents plus two targeted follow-ups per company.

Source changes are checked monthly. Full profiles refresh quarterly. Verified material events receive dated notes. Framework, methodology, schema, pipeline, and immutable release identifiers are separate. Historical releases are corrected by a linked successor, never silently rewritten.

Legacy compatibility

The v1 weighted exposure model remains available as a labeled historical scaffold. There is no numerical conversion from its 0–10 values to v2. The legacy Strategic Consequence Engine stays pinned to v1 and is not allowed to treat v2 unknowns as zero.