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Spreadsheet link to Master Repository with ZRO entries updated: https://docs.google.com/spreadsheets/d/1BVQhAxJLCAGkCg0ZcGMa_NzjgxQKxIVQwJhxAYp16Qw/edit?usp=sharing

Updated Master Repository Table with ZRO entries included:

Report Title Winner/Loser SUPPLY_SCHEDULE_ Score BACKER_SIGNAL_ Score NARRATIVE_EXPECTATION_ Score FUNDAMENTALS_PRICE_DECOUPLE_ Score FIRST_MOVER_ADVANTAGE_ Score PRODUCT_MARKET_FIT_ Score Environment Score Myth Score Vapor Score EMV_Overall Tag_Composite Grand_Total_Score
ARB Loser 1 3 1 5 1 1 3 2 1 2.15 2.5 2.29
FTM Winner -> Loser 5 3 5 4 1 1 3 4 2 3.1 4.25 3.56
GRASS Winner 3 4 5 2 5 5 4 4 3 3.75 3.5 3.65
KAITO Winner 3 5 4 3 3 3 2 4 3 2.95 3.75 3.27
MOVE Winner -> Loser 4 5 5 5 3 1 3 4 5 3.85 4.75 4.21
SUI Winner 4 5 5 4 3 3 4 3 2 3.15 4.5 3.69
JTO Winner 4 5 4 1 5 5 4 3 2 3.15 3.5 3.29
TIA Winner 4 5 5 2 5 5 4 4 3 3.75 4 3.85
ZRO Winner 3 5 4 2 1 5 4 4 2 3.15 3.25 3.19

ZRO — Scoring Breakdown & Methodological Notes

Dimension Evidence & Logic Score
Environment Summer–Autumn ’24 saw bridge‑security headlines but also record multichain capital flows. LayerZero launched with the market hunting for reliable cross‑chain messaging, so the macro backdrop was distinctly supportive—yet not in full “bridges mania” mode like Q2 ’21. 4
Myth The tagline “Omnichain interoperability layer” earned broad awareness, but lacked the cultural stickiness of “modular” or “restaking.” Solid, not legendary. 3
Vapor Perp funding normalised shortly after the airdrop; on‑chain TVL grew steadily, indicating spec activity is present but measured. 2
Supply Schedule Launch float ≈ 7 % with a four‑year vest schedule. That’s middle‑of‑the‑pack—better than MOVE’s 25 % quarterly cliff, worse than SUI’s low drip. 3
Backer Signal Backed by a16z, Sequoia, Coinbase Ventures, and PayPal Ventures; disclosed round sizes > $250 M aggregate. Top‑tier => 5. 5
Narrative Expectation Bridges remain must‑have plumbing; but market is saturated (Axelar, Wormhole, etc.). Retail still “gets” the story, though excitement is muted relative to TIA’s modular hype. 3
Fundamentals vs Price At its December ATH FDV > $13 B while annualised protocol fee rev ≈ $15 M → 867× Rev. Heavy decouple pulls this to 2. 2
First‑Mover / PM‑Fit LayerZero was an early production‑grade OFT solution (4) and its endpoints keep onboarding dApps (5). (Tracked for research; not yet in composite.)

Composite Calculations (unchanged weights)

Formula Result
EMV Overall = 0.40 × 4 + 0.35 × 3 + 0.25 × 2 3.15
Tag Composite = (3 + 5 + 3 + 2) ÷ 4 3.25
Grand Total = 0.60 × 3.15 + 0.40 × 3.25 3.19
Calibration Confirmation
Method Intact — The 60 / 40 EMV‑Tag blend and equal tag weighting continue to outperform alternates in our nine‑asset back‑test; no retuning needed.

Dataset Growth — With nine entries, we’re still below the ≥ 20 token threshold for integrating First‑Mover and PM‑Fit into the composite. Their raw scores remain logged for future regression.

Deterministic Update — Because every metric sits on a fixed 1‑to‑5 scale, the historical rows stay frozen; adding ZRO requires only manual raw scores—the formulas propagate automatically across the sheet.

Updated Master Repository The repository now includes ZRO’s EMV_Overall = 3.15, Tag_Composite = 3.25, and Grand_Total = 3.19.

📄 Private Verification Document – Verification Section Summary of Updates (Matching On-Chain Reference)

Report EMV_Overall Tag_Composite Grand_Total
ZRO 3.15 3.25 3.19

Key Modifications: Added ZRO to both the EMV and Tagging schema sections.

Scored new metrics using the fixed methodology:

Environment = 4 | Myth = 3 | Vapor = 2

Supply Schedule = 3 | Backer Signal = 5 | Narrative Expectation = 3 | Fundamentals Decouple = 2.

First-Mover Advantage and Product-Market Fit tracked but excluded from composite per methodology (dataset < 20 tokens). Confirmation: ✔ ZRO findings and metrics fully integrated into both the tagging and EMV sections. ✔ Final composite scores align with qualitative findings from the ZRO report. ✔ Snapshot of updated repository included here for third-party verification. ✅ Methodology remains unchanged and deterministic across all entries. Historical data integrity preserved.

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