ZHCs.AI

The ZHCs.AI Data Charter

A public rulebook for ranking the Zero-Human Company stack. We prioritize official identity, source-backed traction, real revenue, and capital efficiency over narrative heat.

Why a data charter matters

ZHCs.AI is not trying to make every project look investable. The mission is to make a new category legible. That means separating official assets from imposters, revenue from claims, verified dashboards from private screenshots, and operating traction from short-lived token momentum.

Ranking eligibility

A project can be tracked before it is rankable. To enter market-cap rankings it needs a confirmed official token. To enter P/S rankings it needs official-token market cap plus dashboard or protocol-fee backed revenue. If either side is missing, we keep the project visible but leave valuation multiples blank.

Evidence hierarchy

Level 1

Official project pages, official contracts, public dashboards, protocol-fee pages, audited or on-chain data.

Level 2

Reputable third-party market sources such as DexScreener, DefiLlama, Bankr, TrustMRR, BaseScan, or exchange listings.

Level 3

Community research, founder posts, screenshots, private claims, or model-based estimates. Useful for context, not enough for ranking by revenue.

Core Principles

Official-token first

Only project-confirmed official tokens are used for market cap and valuation multiples.

Core Principles

Revenue over hype

P/S is only meaningful when revenue comes from a public dashboard, protocol-fee page, or official disclosure.

Core Principles

Source over certainty theater

Unverified or incomplete data is marked clearly instead of being forced into rankings.

Metric Rules

Market cap
Pulled from DexScreener every 15 minutes when the pair matches the official Base contract address as the base asset.
24h change
Pulled with token market data and treated as context, not the primary ranking signal.
Holder count
Maintained from verified token contract pages or official market sources when available. It is slower-moving and not high-frequency.
Cumulative revenue
Uses public dashboards, Bankr, DefiLlama, TrustMRR-style pages, or official project disclosures when available.
Annualized revenue
Calculated as cumulative revenue divided by active revenue days, then multiplied by 365.
P/S
Calculated as current market cap divided by rankable annualized revenue. Projects without reliable revenue are excluded from this multiple.

Confidence Levels

Verified
Public dashboard, protocol-fee page, on-chain source, or official disclosure.
Estimated
Reasonable calculation from public inputs, but not directly reported as a final metric.
Unverified
Narrative, private proxy, incomplete source, or missing public evidence.

Update Cadence

Token market data
Every 15 minutes.
Revenue data
Daily, weekly, or manual review depending on source quality.
Treasury and on-chain signals
Hourly to daily as integrations mature.
Project descriptions and links
Manual editorial review for accuracy.

What We Exclude

01
Community, event-issued, spoofed, or unaffiliated tokens are excluded from valuation rankings.
02
Private revenue claims without public evidence are not used for P/S rankings.
03
Projects with no reliable revenue source can still be tracked, but their P/S remains unavailable.
Market data, revenue signals, and valuation multiples are volatile and may be incomplete. ZHCs.AI is for research only, not financial advice.