diff --git a/benchmarks/perp-cost-slope.yml b/benchmarks/perp-cost-slope.yml
index e93bac99..cba57a06 100644
--- a/benchmarks/perp-cost-slope.yml
+++ b/benchmarks/perp-cost-slope.yml
@@ -52,11 +52,11 @@ abstract: |
 
 methodology:
   - "Cadence: derived in PromQL from perp_fees_all_in_bps_tier, refreshed every 5 minutes by the perp-fees harness (bench 007)."
-  - "Cost slope = avg_over_time(all_in_bps_tier{notional=1000000}[24h]) / avg_over_time(all_in_bps_tier{notional=1000}[24h]) per venue per asset. A ratio of 1.00 means flat cost across sizes."
+  - "Cost slope = avg_over_time(all_in_bps_tier{notional=1000000}[24h]) / ignoring(notional) avg_over_time(all_in_bps_tier{notional=1000}[24h]) per venue per asset. A ratio of 1.00 means flat cost across sizes."
   - "Oracle-priced venues (gains.trade, GMX v2): the fee is a flat percentage of position size with no orderbook. The $1M all-in equals the $1k all-in in bps exactly, so slope = 1.00 always."
   - "Orderbook venues (Hyperliquid, dYdX, Lighter, Paradex, Extended, Aster, edgeX): the $1M tier walks deeper into the book than the $1k tier, so the spread component grows and slope > 1.00."
   - "Missing $1M tier: when the visible book cannot absorb $1M the harness skips the tier and increments perp_fees_tier_skipped_total rather than extrapolating. The slope PromQL returns no data for that venue, shown as N/A in the leaderboard."
-  - "Fill-rate panel: count_over_time(tier{notional=1000000}[24h]) / count_over_time(tier{notional=1000}[24h]) per venue per asset. 1.00 = tier always filled; 0.50 = tier filled half the time; 0.00 = tier never filled."
+  - "Fill-rate panel: count_over_time(tier{notional=1000000}[24h]) / ignoring(notional) count_over_time(tier{notional=1000}[24h]) per venue per asset. 1.00 = tier always filled; 0.50 = tier filled half the time; 0.00 = tier never filled."
   - "Chain tabs: the board is scoped per asset (ETH, BTC, SOL) because book depth differs significantly across assets and cross-asset averaging obscures the signal."
   - "Failures and stale data: inherited from the perp-fees harness. A venue that errors keeps its last gauge and its health drops to 0."
 
@@ -124,7 +124,7 @@ panel_main_label: "Cost slope ($1M / $1k)"
 metric_panels:
   - id: fill_rate_1m
     label: "$1M fill rate"
-    metric: "avg(count_over_time(perp_fees_all_in_bps_tier{notional=\"1000000\"}[24h]) / count_over_time(perp_fees_all_in_bps_tier{notional=\"1000\"}[24h]))"
+    metric: "avg(count_over_time(perp_fees_all_in_bps_tier{notional=\"1000000\"}[24h]) / ignoring(notional) count_over_time(perp_fees_all_in_bps_tier{notional=\"1000\"}[24h]))"
     label_key: venue
     unit: count
     higher_is_better: true
@@ -136,10 +136,10 @@ providers:
     tag: "Synthetic perps on Base, oracle-priced, flat cost at any size"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Oracle-priced (flat % of notional, no orderbook): ratio always 1.00 by construction."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="gains"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="gains",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="gains",notional="1000000"}
@@ -149,10 +149,10 @@ providers:
     tag: "Synthetics on Arbitrum, oracle-priced, flat cost at any size"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Oracle-priced (positionFeeFactor flat % of notional, no orderbook): ratio always 1.00."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="gmx"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="gmx",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="gmx",notional="1000000"}
@@ -162,10 +162,10 @@ providers:
     tag: "HyperBFT L1 perp DEX, deepest onchain book"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: $1M tier walks deeper than $1k, raising the spread component above 1.00."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="hyperliquid"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="hyperliquid",notional="1000000"}
@@ -175,10 +175,10 @@ providers:
     tag: "zk-rollup, zero taker fee, onchain orderbook"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: $1M tier walks 100 levels of the Lighter zk-rollup book."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="lighter"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="lighter",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="lighter",notional="1000000"}
@@ -188,10 +188,10 @@ providers:
     tag: "Cosmos appchain orderbook"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: full dYdX v4 indexer book walked at each tier."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="dydx"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="dydx",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="dydx",notional="1000000"}
@@ -201,10 +201,10 @@ providers:
     tag: "Starknet appchain perps, 100-level book"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: Starknet appchain, 100-level book depth caps visible depth at ~$1M on majors."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="paradex"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="paradex",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="paradex",notional="1000000"}
@@ -214,10 +214,10 @@ providers:
     tag: "Starknet perps, full public book"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: full public Starknet book walked at each tier."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="extended"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="extended",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="extended",notional="1000000"}
@@ -227,10 +227,10 @@ providers:
     tag: "Polygon perps, up to 500 book levels"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: Polygon CLOB, up to 500 book levels walked per tier."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="polymarket"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="polymarket",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="polymarket",notional="1000000"}
@@ -240,10 +240,10 @@ providers:
     tag: "BNB Chain perp DEX, Binance-style REST book"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: BNB Chain CLOB, fapi depth endpoint walked per tier."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="aster"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="aster",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="aster",notional="1000000"}
@@ -253,10 +253,10 @@ providers:
     tag: "Offchain CLOB perp DEX"
     formula: "all_in_bps_tier{notional=1000000}[24h] / all_in_bps_tier{notional=1000}[24h]. Orderbook: offchain CLOB, public getDepth endpoint walked per tier."
     queries:
-      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
-      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="100000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
-      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="10000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
-      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000000"}[24h]) / avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
+      p50: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
+      p90: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="100000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
+      p99: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="10000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
+      mean: avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000000"}[24h]) / ignoring(notional) avg_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000"}[24h])
       success: avg_over_time(perp_fees_health{venue="edgex"}[24h])
       sample_size: count_over_time(perp_fees_all_in_bps_tier{venue="edgex",notional="1000000"}[24h])
       series: perp_fees_all_in_bps_tier{venue="edgex",notional="1000000"}
diff --git a/src/app/perp/[slug]/page.tsx b/src/app/perp/[slug]/page.tsx
index 74999ade..bbcc982a 100644
--- a/src/app/perp/[slug]/page.tsx
+++ b/src/app/perp/[slug]/page.tsx
@@ -11,6 +11,7 @@ import {
 import { fetchPerpVenueKpis } from "@/lib/perp-venue-data";
 import { fetchPerpCohort } from "@/lib/perp-stats";
 import { fetchPerpVenueExternalStats } from "@/lib/perp-venue-external";
+import { loadBenchFromBlob } from "@/lib/bench-blob";
 import { PerpVenueKpiStrip } from "@/components/perp-venue-kpi-strip";
 import { PerpVenueBenchCards } from "@/components/perp-venue-bench-cards";
 import { PerpBarChart } from "@/components/perp-bar-chart";
@@ -90,15 +91,18 @@ export default async function PerpVenuePage({
 
   const { seed, meta, cohortSlug } = v;
 
-  const [cohort, kpis, ext] = await Promise.all([
+  const [cohort, kpis, ext, feesAtSizeBench] = await Promise.all([
     fetchPerpCohort(),
     fetchPerpVenueKpis(cohortSlug),
     fetchPerpVenueExternalStats(cohortSlug),
+    loadBenchFromBlob("perp-fees-at-size"),
   ]);
 
   const venueRow = cohort?.venues.find((r) => r.slug === cohortSlug);
   const benchRows =
-    cohort && venueRow ? benchRowsForVenue(cohort, venueRow) : [];
+    cohort && venueRow
+      ? benchRowsForVenue(cohort, venueRow, feesAtSizeBench)
+      : [];
   const measured = benchRows.filter((r) => r.value !== null && r.rank !== null);
 
   const externalHost = (() => {
diff --git a/src/lib/perp-venue-context.ts b/src/lib/perp-venue-context.ts
index 29e038dd..746db65b 100644
--- a/src/lib/perp-venue-context.ts
+++ b/src/lib/perp-venue-context.ts
@@ -4,6 +4,8 @@ import {
   type PerpVenueRow,
   type PerpVenueType,
 } from "@/lib/perp-stats";
+import { loadBenchFromBlob } from "@/lib/bench-blob";
+import type { Benchmark } from "@/types/benchmark";
 import type { PerpVenueBenchRow } from "@/components/perp-venue-bench-cards";
 
 /**
@@ -89,6 +91,8 @@ export async function getPerpVenueContext(
   const venue = cohort.venues.find((v) => v.slug === cohortSlug);
   if (!venue) return null;
 
+  const feesAtSizeBench = await loadBenchFromBlob("perp-fees-at-size");
+
   return {
     kind: "venue",
     slug,
@@ -97,15 +101,27 @@ export async function getPerpVenueContext(
     chainLabel: meta.chainLabel,
     externalUrl: meta.url,
     venueType: venue.venueType,
-    benchRows: benchRowsForVenue(cohort, venue),
+    benchRows: benchRowsForVenue(cohort, venue, feesAtSizeBench),
   };
 }
 
 export function benchRowsForVenue(
   cohort: PerpCohortSummary,
   venue: PerpVenueRow,
+  feesAtSizeBench?: Benchmark | null,
 ): PerpVenueBenchRow[] {
   const cohortSize = cohort.venues.length;
+
+  const activeMarketsVenues = cohort.venues
+    .filter((v) => v.activeMarkets != null && Number.isFinite(v.activeMarkets))
+    .sort((a, b) => (b.activeMarkets as number) - (a.activeMarkets as number));
+  const activeMarketsRank =
+    activeMarketsVenues.findIndex((v) => v.slug === venue.slug) + 1 || null;
+
+  const feesAtSize = feesAtSizeBench
+    ? rankFromBench(feesAtSizeBench, venue.slug)
+    : null;
+
   return [
     {
       benchSlug: "perp-fees",
@@ -129,6 +145,31 @@ export function benchRowsForVenue(
       vsMedian: null,
       tone: "cyan",
     },
+    {
+      benchSlug: "perp-active-markets",
+      label: "Active markets",
+      blurb:
+        "Live count of active perp markets across 14 venues, polled every 5 minutes.",
+      rank: activeMarketsRank,
+      cohortSize: activeMarketsVenues.length || cohortSize,
+      value:
+        venue.activeMarkets != null
+          ? Math.round(venue.activeMarkets).toLocaleString("en-US")
+          : null,
+      vsMedian: null,
+      tone: "indigo",
+    },
+    {
+      benchSlug: "perp-fees-at-size",
+      label: "Fee at $100k",
+      blurb:
+        "All-in cost at $100k notional (taker + spread + impact), 24h average. Oracle venues hold flat regardless of size.",
+      rank: feesAtSize?.rank ?? null,
+      cohortSize: feesAtSize?.total ?? cohortSize,
+      value: feesAtSize?.value != null ? fmtBps(feesAtSize.value) : null,
+      vsMedian: null,
+      tone: "violet",
+    },
   ];
 }
 
@@ -146,6 +187,25 @@ function rankWithinCohort(
   return idx >= 0 ? idx + 1 : null;
 }
 
+function rankFromBench(
+  bench: Benchmark,
+  slug: string,
+): { rank: number | null; total: number; value: number | null } {
+  const live = bench.results.filter(
+    (r) => r.ms?.p50 != null && Number.isFinite(r.ms.p50),
+  );
+  const sorted = [...live].sort((a, b) =>
+    bench.higherIsBetter ? b.ms.p50 - a.ms.p50 : a.ms.p50 - b.ms.p50,
+  );
+  const idx = sorted.findIndex((r) => r.slug === slug);
+  const provider = bench.results.find((r) => r.slug === slug);
+  return {
+    rank: idx >= 0 ? idx + 1 : null,
+    total: sorted.length,
+    value: provider?.ms?.p50 ?? null,
+  };
+}
+
 function fmtBps(v: number | null): string | null {
   if (v == null || !Number.isFinite(v)) return null;
   if (Math.abs(v) >= 100) return `${v.toFixed(0)} bps`;