Omair Saleh
056c47581f
Ships the second dashboard surface — a Pattern Library + Preview Theatre — that presents the 4-section PDP pilot batch back to Umar, compliance, and the board in an editorial format. Adds the full data layer that drives it: 5 source-backed per-SKU drafts at QA 100/100, 15 competitor PDP semantic extracts, PubMed evidence packs, EFSA claims library extension, JV brand voice guide, hand-curated product FAQs, and the Matrixify-ready CSV exports for Lewis. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
86 lines
3.9 KiB
JSON
86 lines
3.9 KiB
JSON
{
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"generatedAt": "2026-05-20T02:31:32.902Z",
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"ready": true,
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"note": "No-spend scenario estimates for choosing a small local max-spend cap. This does not enable provider spend.",
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"counts": {
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"scenarios": 5,
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"dataforseoScenarios": 3,
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"apifyScenarios": 2,
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"stageOneTasks": 10,
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"reviewDepth": 10,
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"pricingReferences": 5
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},
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"recommendation": {
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"providerOrder": "DataForSEO first; Apify only after a named post-pilot gap.",
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"dataforseoStage1": "Use standard queue for 10 ASINs at depth 10; exact official-reference estimate is $0.0075, but set any local max-spend cap manually after checking account minimums/billing.",
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"apifyStage2": "Do not fund Apify yet. If needed later, cap the first run tightly and inspect actual usage before any second run."
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},
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"guardrails": [
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"Scenario estimates are not approval and do not unlock spend.",
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"DataForSEO payload remains empty until ASINs are confirmed.",
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"Apify remains blocked until DataForSEO review selects run_apify_gapfill and names a gap.",
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"Use these rows to fill source-acquisition-cost-plan.json; then rerun cost, approval, preflight, and spend gates."
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],
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"scenarios": [
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{
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"Provider": "DataForSEO",
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"Stage": "1",
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"Scenario": "standard_queue_exact_9_asin_depth_10",
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"Formula": "10 ASIN tasks x 1 ten-review block x $0.00075",
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"EstimatedUsd": 0.0075,
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"SuggestedCapUsd": 1,
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"SpendStatus": "blocked_until_asins_budget_cost_plan_approval_preflight",
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"Use": "Recommended first paid pilot if all 9 ASINs are confirmed. The suggested cap is deliberately much larger than the exact API estimate to allow provider/account minimums while still preventing broad spend.",
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"SourceUrl": "https://dataforseo.com/apis/reviews-api/amazon-reviews-api"
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},
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{
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"Provider": "DataForSEO",
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"Stage": "1",
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"Scenario": "priority_queue_reference_only",
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"Formula": "10 ASIN tasks x 1 ten-review block x $0.0015",
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"EstimatedUsd": 0.015,
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"SuggestedCapUsd": 1,
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"SpendStatus": "not_recommended_without_explicit_speed_need",
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"Use": "Reference only. Priority doubles the unit price; standard queue is enough for cost-controlled evidence collection.",
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"SourceUrl": "https://dataforseo.com/apis/reviews-api/amazon-reviews-api"
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},
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{
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"Provider": "DataForSEO",
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"Stage": "1",
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"Scenario": "depth_safety_rule",
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"Formula": "depth 10 stays at 1 ten-review block; depth 11 would round to 2 blocks",
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"EstimatedUsd": 0.0075,
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"SuggestedCapUsd": 1,
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"SpendStatus": "keep_depth_10",
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"Use": "Protects against accidental review-depth cost increase. Do not change depth without updating the cost plan and approval.",
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"SourceUrl": "https://dataforseo.com/help-center/get-amazon-reviews"
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},
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{
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"Provider": "Apify",
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"Stage": "2",
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"Scenario": "one_actor_first_3_targets_reference_cap",
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"Formula": "1 actor run x first 3 targets x 3 requests/brand; CU cost depends on actual run",
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"EstimatedUsd": 0,
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"SuggestedCapUsd": 5,
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"SpendStatus": "blocked_until_dataforseo_review_names_gap",
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"Use": "Suggested small cap for the first dataset inspection only. Actual actor/proxy/storage cost must be read from Apify run usage before any second run.",
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"SourceUrl": "https://docs.apify.com/platform/actors/running/usage-and-resources"
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},
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{
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"Provider": "Apify",
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"Stage": "2",
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"Scenario": "compute_unit_reference",
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"Formula": "$0.2 per CU; exact CU = memory x runtime plus platform usage",
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"EstimatedUsd": 0,
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"SuggestedCapUsd": 5,
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"SpendStatus": "reference_only",
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"Use": "CU reference for filling the cost plan after choosing the actor and before one first-batch run.",
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"SourceUrl": "https://apify.com/pricing/creator-plan"
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}
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],
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"budgetState": {
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"dataforseoStage1": false,
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"apifyStage2": false
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}
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}
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