STATIC DEMO — built from real Allium data as a demonstration of the spec'd design; not a live, production, or Ondo-reviewed dashboard

Makes the numbers defensible for a public surface. Every formula on Page 3 is stated here in full.

Asset catalog

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SymbolNameUnderlyingIssuerChainAddressFirst Seen
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Issuer catalog

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IssuerTokens IssuedChainsCoverage Start
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Venue catalog

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VenueTypeChainPools / PairsCoverage StartSource
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Distributor catalog

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DistributorAttribution MethodCoverage Start
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Known gaps + data freshness

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Gap / SourceDetailLast UpdateExpected Lag
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Metric definitions — formula stated for each

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effective_price
notional / quantity, per trade
slippage
residual of realised fill vs simulated fill
reference_price_at_trade
benchmark sampled at block / trade timestamp
spread
effective spread at venue
execution_cost_bps
side_sign × (eff − ref) / ref × 10000
rfq_vs_clob_bps
realised RFQ fill − simulated CLOB fill, same size and timestamp
price_impact
pool-curve movement for size against reserves / tick liquidity
distributor_markup_bps
total_cost_bps − venue_cost_bps

Benchmark methodology

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— reference price source: TBD (Page 2 open decision)
— sampling: TBD
— market-session handling: TBD
— closed-hours carry-forward: TBD

Aggregation rules

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— notional weighting: all headline figures notional-weighted, not trade-count-weighted
— percentile method: TBD
— size bucket boundaries: <$1k · $1k–10k · $10k–100k · $100k+
— minimum trade-count threshold per cell: TBD (Page 3/4 open decision)