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Azura staging web performance report 2026-04-15 expanded
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2026-04-15-staging-performance-deep-dive.md

Staging Web Performance Deep Dive (2026-04-15, Expanded Dataset)

Scope

  • Target app: azura-monorepo/apps/web
  • Focus routes: /scope, /markets/spot*, /markets/pair-scanner, and broad /spot/:chainId/:token coverage
  • Trace scope: web -> tRPC -> API -> Talos-v2 and adjacent backends
  • Included data: 16 labeled staging runs + 40-sample scope click probe

Dataset Summary

Totals across included runs:

  • Requests: 83,302
  • tRPC entries: 11,679
  • OPTIONS preflights: 5,685 (48.7%)
  • Non-OPTIONS tRPC calls: 5,994

Run families:

  • Baseline swarm: staging-swarm-spot-scope
  • Mid-size batches: batch-*
  • Long-wave batches: long-wave*
  • Full-manifest passes (54 URLs): mega-full-cold-1, mega-full-warm-1, mega-full-cold-2

High-Signal Findings

1) Scope remains the dominant tail route

/scope behavior is highly variable and can fan out heavily:

  • Worst baseline sample: 584 requests, 336 tRPC entries, 41 late API starts (>2s)
  • Across scope runs, last non-OPTIONS tRPC completion:
    • avg 4.7s
    • p95 8.65s
    • max 12.9s

Interpretation:

  • The tail is caused by asynchronous request cascades, not first paint.

2) Spot pages are still request-dense even when warm

From full-manifest spot route class:

  • Cold average: 259.5 requests/route, 4.52MB transfer
  • Warm average: 256.8 requests/route, 0.136MB transfer
  • Load-window difference is small (220ms cold avg vs 215ms warm avg)

Interpretation:

  • Cache reduces bytes significantly, but request orchestration and backend behavior still dominate perceived latency.

3) Preflight tax is persistent across all run families

  • Batch family preflight ratio: 47.6%
  • Long-wave family preflight ratio: 48.8%
  • Full-manifest family preflight ratio: 48.6%

Interpretation:

  • Transport overhead is structural in current architecture.

4) Quote reliability is the biggest hard failure issue

v2.orders.quote aggregate:

  • Calls: 353
  • Failures: 159
  • Failure rate: 45.0%
  • Status split: 200 = 194, 500 = 159

Interpretation:

  • Quote-path reliability has to be fixed before frontend-only tuning can deliver stable user wins.

5) Highest-volume non-quote families are security + social

Top procedures by call volume:

  • v1.tokens.getSecurity: 1,206
  • v2.twitter.getProfile: 752
  • v2.tokens.getPastTwitterUsernames: 716
  • v1.trades.initialTrades: 522

Interpretation:

  • Repeated security/social lookups are a major request amplifier.

End-to-End Trace Highlights

Scope path:

  • Web scope/memetics handlers trigger v2.markets.newPairScanner.initialDataTalos
  • API fans out via Talos prelaunch/state reads
  • Sparkline hydration adds additional API pressure (getMarketCapSparkline)

Spot path:

  • Spot page triggers metadata/stats/holders/traders/security/quote families
  • Stats path reaches data-engine and Talos optimal-pool/state-service
  • Holders/traders paths call Talos state-service endpoints + wallet label enrichment
  • Quote path enters apps/api/src/routers/v2/orders/quote.ts and Zenithar client module

Debate-Team Outcomes (3 pro / 3 con)

Converged high-confidence priorities:

  1. Quote-path backend stabilization first.
  2. Scope and spot fan-out reduction (especially security/social duplication).
  3. Interaction-gating for secondary social requests.
  4. Transport reduction (same-origin/proxy + batching).

Key guardrails from skeptical pass:

  1. Avoid placebo fixes that reduce freshness for live trading views without SLO proof.
  2. Treat current data as high-confidence hotspot evidence, but use stricter paired design for causal claims.
  3. Keep backend and frontend changes separated for clear attribution.

Priority Remediation Plan

P0 (Immediate)

  1. Quote reliability hardening (timeout + retry policy + circuit behavior + typed degraded response).
  2. Scope security/social dedupe and interaction gating.
  3. Add timeout budgets for Talos/downstream API wrappers lacking explicit abort control.

P1 (Structural)

  1. Cut preflight overhead with same-origin routing and batched tRPC transport.
  2. Collapse high-frequency Talos/state fan-out where sequential upstream calls are avoidable.
  3. Add request-scoped dedupe on holders/traders wallet label enrichment.

P2 (Measurement hardening)

  1. Fixed URL manifest and stratified token panel for repeated runs.
  2. Paired cold/warm block protocol with confidence intervals in report output.
  3. Persist cache/CDN metadata and count transport failures explicitly.

Scope Navigation Validation

Expanded probe (2026-04-15T19-21-58):

  • Samples: 40
  • Success: 40/40
  • Click-to-spot: avg 108ms, p95 117ms

Interpretation:

  • The navigation transition itself is fast; delay is primarily post-navigation data work.

Artifacts

  • Data aggregate JSON:
    • apps/web/scripts/profiling/reports/staging-performance-gist-2026-04-15.json
  • Human summary:
    • apps/web/scripts/profiling/reports/staging-performance-gist-2026-04-15.md
  • Scope probe raw:
    • apps/web/scripts/profiling/results/results/2026-04-15T19-21-58/scope-click-probe.json
Raw
staging-performance-gist-2026-04-15.json
{
"generatedAt": "2026-04-15T19:23:47.868Z",
"environment": "staging.azura.xyz",
"includedRunCount": 16,
"runLabels": [
{
"runId": "2026-04-15T16-10-30",
"label": "staging-swarm-spot-scope",
"routeCount": 25
},
{
"runId": "2026-04-15T18-40-28",
"label": "batch-cold-1",
"routeCount": 10
},
{
"runId": "2026-04-15T18-41-43",
"label": "batch-warm-1",
"routeCount": 10
},
{
"runId": "2026-04-15T18-43-02",
"label": "batch-cold-2",
"routeCount": 10
},
{
"runId": "2026-04-15T18-51-09",
"label": "long-wave1-cold-A",
"routeCount": 10
},
{
"runId": "2026-04-15T18-51-17",
"label": "long-wave1-cold-C",
"routeCount": 10
},
{
"runId": "2026-04-15T18-51-20",
"label": "long-wave1-cold-B",
"routeCount": 10
},
{
"runId": "2026-04-15T18-52-31",
"label": "long-wave2-cold-A",
"routeCount": 10
},
{
"runId": "2026-04-15T18-52-36",
"label": "long-wave2-cold-C",
"routeCount": 10
},
{
"runId": "2026-04-15T18-52-41",
"label": "long-wave2-cold-B",
"routeCount": 10
},
{
"runId": "2026-04-15T18-53-52",
"label": "long-wave3-warm-A",
"routeCount": 10
},
{
"runId": "2026-04-15T18-53-56",
"label": "long-wave3-warm-B",
"routeCount": 10
},
{
"runId": "2026-04-15T18-53-58",
"label": "long-wave3-warm-C",
"routeCount": 10
},
{
"runId": "2026-04-15T19-02-39",
"label": "mega-full-cold-1",
"routeCount": 55
},
{
"runId": "2026-04-15T19-07-55",
"label": "mega-full-warm-1",
"routeCount": 55
},
{
"runId": "2026-04-15T19-13-10",
"label": "mega-full-cold-2",
"routeCount": 55
}
],
"totals": {
"totalRequests": 83302,
"totalFailures": 286,
"trpcCalls": 11679,
"trpcNonOptions": 5994,
"trpcOptions": 5685,
"trpcPreflightRatio": 0.4867711276650398
},
"headlineProcedures": {
"quote": {
"procedure": "v2.orders.quote",
"count": 353,
"failures": 159,
"failureRate": 0.45042492917847027,
"p95WaitMs": 166.537,
"statuses": {
"200": 194,
"500": 159
}
},
"security": {
"procedure": "v1.tokens.getSecurity",
"count": 1206,
"failures": 39,
"failureRate": 0.03233830845771144,
"p95WaitMs": 146.827,
"statuses": {
"200": 1167,
"500": 39
}
},
"twitterProfile": {
"procedure": "v2.twitter.getProfile",
"count": 752,
"failures": 54,
"failureRate": 0.07180851063829788,
"p95WaitMs": 158.36599999999999,
"statuses": {
"200": 698,
"500": 54
}
},
"twitterPost": {
"procedure": "v2.twitter.getPost",
"count": 177,
"failures": 3,
"failureRate": 0.01694915254237288,
"p95WaitMs": 260.53700000000003,
"statuses": {
"200": 174,
"500": 3
}
},
"pastUsernames": {
"procedure": "v2.tokens.getPastTwitterUsernames",
"count": 716,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 716
}
}
},
"topProceduresAll": [
{
"procedure": "v1.tokens.getSecurity",
"count": 1206,
"failures": 39,
"failureRate": 0.03233830845771144,
"p95WaitMs": 146.827,
"statuses": {
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"500": 39
}
},
{
"procedure": "v2.twitter.getProfile",
"count": 752,
"failures": 54,
"failureRate": 0.07180851063829788,
"p95WaitMs": 158.36599999999999,
"statuses": {
"200": 698,
"500": 54
}
},
{
"procedure": "v2.tokens.getPastTwitterUsernames",
"count": 716,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 716
}
},
{
"procedure": "v1.trades.initialTrades",
"count": 522,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 522
}
},
{
"procedure": "v2.orders.quote",
"count": 353,
"failures": 159,
"failureRate": 0.45042492917847027,
"p95WaitMs": 166.537,
"statuses": {
"200": 194,
"500": 159
}
},
{
"procedure": "v2.markets.hyperliquidAssets",
"count": 310,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 310
}
},
{
"procedure": "v2.tokens.getBars",
"count": 270,
"failures": 7,
"failureRate": 0.025925925925925925,
"p95WaitMs": 0,
"statuses": {
"200": 263,
"500": 7
}
},
{
"procedure": "v2.tokens.getTopHolders",
"count": 267,
"failures": 9,
"failureRate": 0.033707865168539325,
"p95WaitMs": 51.379000000000005,
"statuses": {
"200": 258,
"404": 9
}
},
{
"procedure": "v2.tokens.getStats",
"count": 261,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 110.666,
"statuses": {
"200": 261
}
},
{
"procedure": "v2.tokens.getMetadata",
"count": 261,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 261
}
},
{
"procedure": "v1.tokens.getLaunchpad",
"count": 261,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 66.505,
"statuses": {
"200": 261
}
},
{
"procedure": "v2.markets.getDevTrades",
"count": 250,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 250
}
},
{
"procedure": "v2.twitter.getPost",
"count": 177,
"failures": 3,
"failureRate": 0.01694915254237288,
"p95WaitMs": 260.53700000000003,
"statuses": {
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"500": 3
}
},
{
"procedure": "v2.tokens.getNativePrice",
"count": 118,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 118
}
},
{
"procedure": "v2.markets.newPairScanner.getMarketCapSparkline",
"count": 92,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 59.366,
"statuses": {
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}
},
{
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"failureRate": 0.13953488372093023,
"p95WaitMs": 161.93699999999998,
"statuses": {
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"500": 12
}
},
{
"procedure": "v2.markets.spotExplorer.getTokens",
"count": 42,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 42
}
},
{
"procedure": "v1.tokens.getSecurityBatch",
"count": 37,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 76.973,
"statuses": {
"200": 37
}
},
{
"procedure": "v2.markets.newPairScanner.initialDataTalos",
"count": 13,
"failures": 0,
"failureRate": 0,
"p95WaitMs": 0,
"statuses": {
"200": 13
}
}
],
"fullManifestComparison": {
"labels": {
"cold": [
"mega-full-cold-1",
"mega-full-cold-2"
],
"warm": "mega-full-warm-1"
},
"keyRoutes": [
{
"pathname": "/scope",
"coldAvg": {
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"transferMB": 4.356915473937988,
"loadMs": 235.05000001192093,
"dclMs": 163.14999997615814,
"trpcCalls": 142,
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},
"warm": {
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}
},
{
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}
},
{
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"trpcCalls": 29,
"trpcFailures": 0,
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}
},
{
"pathname": "/markets/spot/all-coins",
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}
},
{
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}
}
],
"classComparisons": [
{
"name": "spot-pages",
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"dclMs": 172.512999997139,
"trpcCalls": 29.51,
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"sampleCount": 100
},
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}
},
{
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"trpcCalls": 44.5,
"trpcFailures": 0.75,
"lateApiOver2s": 0,
"sampleCount": 8
},
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"transferMB": 0.9015810489654541,
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"dclMs": 140.55000001192093,
"trpcCalls": 33.5,
"trpcFailures": 0.75,
"lateApiOver2s": 0,
"sampleCount": 4
}
}
]
},
"scopeProbes": {
"initial3Sample": {
"runAt": "2026-04-15T18:45:09.103Z",
"attempts": 3,
"successes": 3,
"rows": [
{
"attempt": 1,
"status": "ok",
"from": "/scope",
"to": "https://staging.azura.xyz/spot/1399811149/3LZJKXhDVgqXR1q6jtzwNBBLHBuwsDiNNiW6rvmJpump",
"clickToSpotMs": 96,
"totalAttemptMs": 4358
},
{
"attempt": 2,
"status": "ok",
"from": "/scope",
"to": "https://staging.azura.xyz/spot/1399811149/EttgAhEDDkrJTJdcU9XEa5aATuXpzv4ByxCfsNQgh5NF",
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},
{
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"from": "/scope",
"to": "https://staging.azura.xyz/spot/1399811149/41Mp5hkWkV35LLGumSiLyBYfmCTPgqBpV5RdNMX9pump",
"clickToSpotMs": 123,
"totalAttemptMs": 4267
}
]
},
"expanded40Sample": {
"runId": "2026-04-15T19-21-58",
"samples": 40,
"successes": 40,
"failures": 0,
"clickToSpotMs": {
"values": [
84,
115,
100,
111,
113,
109,
109,
106,
119,
105,
116,
108,
106,
109,
107,
104,
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113,
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116,
100,
102,
94,
125,
107,
110,
104,
103,
117,
113,
116,
100,
113,
110
],
"avg": 108,
"p95": 117
},
"attempts": [
{
"index": 1,
"success": true,
"picked": "https://staging.azura.xyz/spot/1399811149/FzcZ4oYKcCqp4dwhvw16LcTybuudGhSAyM4CzJ42pump",
"landed": "https://staging.azura.xyz/spot/1399811149/FzcZ4oYKcCqp4dwhvw16LcTybuudGhSAyM4CzJ42pump",
"clickToSpotMs": 84,
"attemptMs": 4964
},
{
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"picked": "https://staging.azura.xyz/spot/1399811149/BXXxTD7X6NE2nCEcPjxHmFm73nN5Syr691o9eGm2pump",
"landed": "https://staging.azura.xyz/spot/1399811149/BXXxTD7X6NE2nCEcPjxHmFm73nN5Syr691o9eGm2pump",
"clickToSpotMs": 115,
"attemptMs": 4370
},
{
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"picked": "https://staging.azura.xyz/spot/1399811149/DdrUoxm7PTjzoXbQxEAAaUexxsqH8hD3rNuk8UbKpump",
"landed": "https://staging.azura.xyz/spot/1399811149/DdrUoxm7PTjzoXbQxEAAaUexxsqH8hD3rNuk8UbKpump",
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},
{
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"picked": "https://staging.azura.xyz/spot/1399811149/adDYw7VsSmRTcUcqzu1F7bXiba9TFNXwbhHq5F8pump",
"landed": "https://staging.azura.xyz/spot/1399811149/adDYw7VsSmRTcUcqzu1F7bXiba9TFNXwbhHq5F8pump",
"clickToSpotMs": 111,
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},
{
"index": 5,
"success": true,
"picked": "https://staging.azura.xyz/spot/1399811149/8JA4SdYqPY2pKYsvWHAPU5m6URgUx492k9avJptRpump",
"landed": "https://staging.azura.xyz/spot/1399811149/8JA4SdYqPY2pKYsvWHAPU5m6URgUx492k9avJptRpump",
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{
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"picked": "https://staging.azura.xyz/spot/1399811149/E71ExYJysQfUfjEdnjvDRfRdQ1d3GQDDWXZoSvzJpump",
"landed": "https://staging.azura.xyz/spot/1399811149/E71ExYJysQfUfjEdnjvDRfRdQ1d3GQDDWXZoSvzJpump",
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"attemptMs": 4312
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{
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"landed": "https://staging.azura.xyz/spot/1399811149/H3WBht5WAstmAfXo1otkUa9m8Zj33vPmXE3zP2cbpump",
"clickToSpotMs": 109,
"attemptMs": 4251
},
{
"index": 8,
"success": true,
"picked": "https://staging.azura.xyz/spot/1399811149/CF3SrxZT14Hk5eXQUFk2Z61zVwtNYAaTs817mVGHpump",
"landed": "https://staging.azura.xyz/spot/1399811149/CF3SrxZT14Hk5eXQUFk2Z61zVwtNYAaTs817mVGHpump",
"clickToSpotMs": 106,
"attemptMs": 4250
},
{
"index": 9,
"success": true,
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{
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{
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}
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}
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{
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}
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{
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"200": 3
}
},
{
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}
}
]
}
]
}
Raw
staging-performance-gist-2026-04-15.md

Azura Staging Web Performance Report (2026-04-15, Expanded)

Non-Technical Summary

We ran a much larger staging profiling campaign across markets, scope, and spot pages, including repeated cold/warm passes and expanded scope click sampling.

What matters most:

  • The app is usually visually fast to first render.
  • The main pain is the background request tail and API reliability, not initial paint.
  • Quote reliability is the biggest user-facing issue in this dataset.

Top headline numbers (16 staging runs in this report):

  • 83,302 total HTTP requests.
  • 11,679 /trpc/ requests.
  • 5,685 OPTIONS preflights (48.7% of /trpc/ traffic).
  • v2.orders.quote: 353 calls, 159 failures (45.0%, HTTP 500).

What We Tested

Included runs:

  • 1 broad swarm baseline (staging-swarm-spot-scope).
  • 3 medium batches (batch-cold-1, batch-warm-1, batch-cold-2).
  • 9 long-wave batches (long-wave1-*, long-wave2-*, long-wave3-*).
  • 3 full-manifest runs over 54 URLs (markets + scope + 49 token spot pages):
    • mega-full-cold-1
    • mega-full-warm-1
    • mega-full-cold-2
  • Scope click probes:
    • Initial: 3 samples (older sanity pass).
    • Expanded: 40 samples, 40/40 success, 108ms avg click-to-spot, 117ms p95.

Technical Findings

1) Scope fan-out remains the primary tail-risk route

In the broad baseline run:

  • /scope made 584 requests.
  • 336 tRPC entries.
  • 41 late API starts (>2s).

Across all scope-containing runs:

  • Last non-OPTIONS tRPC completion tail on /scope: avg 4.7s, p95 8.65s, max 12.9s.

Interpretation:

  • The worst latency is the long async tail after first render.

2) Spot pages are consistently request-heavy

From full-manifest runs (spot-page class):

  • Cold average: 259.5 requests/page, 4.52MB transfer/page.
  • Warm average: 256.8 requests/page, 0.136MB transfer/page.
  • Load window changed little (220ms cold avg vs 215ms warm avg), meaning request orchestration still dominates.

3) Preflight overhead is large and persistent

By run family:

  • Batch runs: 47.6% preflight ratio.
  • Long-wave runs: 48.8% preflight ratio.
  • Full-manifest runs: 48.6% preflight ratio.

Interpretation:

  • Almost half of tRPC transport volume is preflight overhead.

4) Procedure hotspots

Top call-volume procedures in the full aggregate:

  • v1.tokens.getSecurity: 1,206 calls
  • v2.twitter.getProfile: 752 calls
  • v2.tokens.getPastTwitterUsernames: 716 calls
  • v1.trades.initialTrades: 522 calls
  • v2.orders.quote: 353 calls, 159 failures (45.0%)

v2.orders.quote status split:

  • 200: 194
  • 500: 159

Trace Map (Web -> API -> Talos-v2)

Scope flow:

  • Web /scope and memetics components trigger v2.markets.newPairScanner.initialDataTalos.
  • API initial-data-talos fans out to Talos prelaunch/state reads.
  • Sparkline hydration adds additional API load (getMarketCapSparkline path).

Spot flow:

  • Spot UI triggers metadata/stats/holders/traders/security/quote families.
  • v2.tokens.getStats path reaches data-engine and Talos optimal pool/state endpoints.
  • Holders/traders routes use Talos state-service reads (plus wallet label joins).
  • Quote path routes through v2.orders.quote and Zenithar client.

Debate-Team Consensus (6x GPT-5.3-codex xhigh)

High-confidence interventions:

  1. Stabilize v2.orders.quote backend path first (timeouts/retry/circuit behavior and typed degraded response).
  2. Reduce scope/spot fan-out by eliminating duplicate security and social fetches.
  3. Gate social tooltip/secondary fetches by interaction.
  4. Introduce transport-level reduction (same-origin/proxy + tRPC batching).

Important guardrails (anti-placebo):

  1. Do not blindly increase stale windows for live trading data without freshness SLO checks.
  2. Do not claim warm-cache wins from mixed/unstable run designs.
  3. Avoid frontend-only fixes for quote failures until backend reliability path is addressed.

Action Plan

Priority 0 (immediate):

  1. Quote reliability remediation (v2.orders.quote + Zenithar client safeguards).
  2. Scope security/social dedupe and interaction gating.
  3. Add explicit downstream timeout budgets in API wrappers.

Priority 1:

  1. Reduce preflight tax with same-origin routing and batched tRPC transport.
  2. Collapse Talos/state fan-out for hot spot/scope reads where possible.

Priority 2:

  1. Add strict profiling protocol (fixed URL manifest, paired cold/warm blocks, CI confidence rules).
  2. Enforce budgets for quote failure rate, scope tail latency, and preflight ratio.

Artifact Locations

  • Deep dive:
    • apps/web/scripts/profiling/reports/2026-04-15-staging-performance-deep-dive.md
  • Machine-readable data:
    • apps/web/scripts/profiling/reports/staging-performance-gist-2026-04-15.json
  • Human report (this file):
    • apps/web/scripts/profiling/reports/staging-performance-gist-2026-04-15.md
  • Expanded scope probe raw:
    • apps/web/scripts/profiling/results/results/2026-04-15T19-21-58/scope-click-probe.json
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