{
  "brand": "mirra",
  "research_date": "2026-05-16",
  "phase": "2",
  "steps_complete": [
    "1",
    "2",
    "3",
    "4",
    "5",
    "6"
  ],
  "artefacts_shipped": [
    "01-market-map.html",
    "02-scrapbook.html",
    "03-icp-catalog.html",
    "04-wot-analysis.html",
    "05-semantic-particles.html",
    "06-pattern-decoder.html",
    "07-ad-library-bank.html",
    "08-funnel-channel-map.html",
    "09-pricing-ladder.html",
    "10-mirofish-300.html"
  ],
  "data_files": [
    "competitors.json",
    "particles.json",
    "personas.json",
    "ads.json",
    "mirofish-results.json",
    "mirofish-quotes.json"
  ],
  "composite_score_estimate": 7.74,
  "per_artefact_score": {
    "01-market-map": 8.4,
    "02-scrapbook": 7.8,
    "03-icp-catalog": 8.6,
    "04-wot-analysis": 8.5,
    "05-semantic-particles": 8.7,
    "06-pattern-decoder": 8.5,
    "07-ad-library-bank": 8.3,
    "08-funnel-channel-map": 8.0,
    "09-pricing-ladder": 8.1,
    "10-mirofish-300": 8.4
  },
  "cost_spent_usd": {
    "firecrawl": 0.3,
    "gemini_phase1_mirofish": 0.18,
    "kimi_k2_oasis_phase2": 0.08,
    "gemini_scoring_phase2": 0.1,
    "ad_library_scrape": 1.2,
    "total": 1.86
  },
  "tools_used": [
    "WebSearch",
    "WebFetch",
    "Firecrawl (REST)",
    "Gemini-2.5-flash",
    "Bash/Python"
  ],
  "blockers": [
    "MCP winninghunter not available in subagent \u2014 fell back to Firecrawl Meta Ad Library scrape, captured 78 Mirra-likely + 25 competitor verbatim ads. No WH credit usage.",
    "Some Round-2 sites (dietmonsta, nutritionkitchensg, mealpal, thenkd) returned empty Firecrawl scrapes \u2014 sourced via WebSearch instead."
  ],
  "data_gaps": [
    "No real-time TikTok scrape (xhs-scraper / TikTok scrape skipped \u2014 not available in subagent)",
    "No verified Mirra paid-spend tier (estimated from FB Ad Library impressions)",
    "Pinterest visual refs are Unsplash-curated proxies, not actual Pinterest API"
  ],
  "phase2_handoff": "Phase 2 should run autoresearch 5-loop VLM scoring on each HTML artefact, refine the 3 weakest (likely 02-scrapbook + 08-funnel + 09-pricing), and run the top-1% 4-lens audit (performance-marketer / brand-marketer / creative-director / art-director). Target composite \u22659.0/10.",
  "phase2_complete": true,
  "loop_records": [
    {
      "loop": 1,
      "scores": {
        "01-market-map": {
          "P": 9.0,
          "B": 8.0,
          "C": 8.0,
          "A": 7.0,
          "composite": 8.0
        },
        "02-scrapbook": {
          "P": 9.0,
          "B": 9.0,
          "C": 10.0,
          "A": 9.0,
          "composite": 9.0
        },
        "03-icp-catalog": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 6.0,
          "composite": 8.0
        },
        "05-semantic-particles": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 3.0,
          "composite": 7.5
        },
        "06-pattern-decoder": {
          "P": 9.0,
          "B": 6.0,
          "C": 8.0,
          "A": 7.0,
          "composite": 7.5
        },
        "07-ad-library-bank": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 8.0,
          "composite": 9.0
        },
        "08-funnel-channel-map": {
          "P": 9.0,
          "B": 7.0,
          "C": 8.0,
          "A": 7.0,
          "composite": 7.0
        },
        "09-pricing-ladder": {
          "P": 9.0,
          "B": 8.0,
          "C": 7.0,
          "A": 8.0,
          "composite": 8.0
        },
        "10-mirofish-300": {
          "P": 9.0,
          "B": 7.0,
          "C": 8.0,
          "A": 5.0,
          "composite": 7.25
        },
        "13-creative-angles": {
          "P": 9.0,
          "B": 8.5,
          "C": 9.0,
          "A": 0.0,
          "composite": 6.6
        },
        "14-art-direction": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 9.0,
          "composite": 9.0
        },
        "15-performance-blueprint": {
          "P": 9.0,
          "B": 4.0,
          "C": 6.0,
          "A": 3.0,
          "composite": 5.5
        },
        "17-90day-execution": {
          "P": 9.0,
          "B": 7.0,
          "C": 8.0,
          "A": 7.0,
          "composite": 7.75
        },
        "18-EXEC-BRIEF": {
          "P": 9.5,
          "B": 7.5,
          "C": 9.0,
          "A": 1.0,
          "composite": 6.75
        }
      },
      "avg": 7.632142857142857,
      "weakest_3": [
        "15-performance-blueprint",
        "13-creative-angles",
        "18-EXEC-BRIEF"
      ]
    },
    {
      "loop": 2,
      "scores": {
        "01-market-map": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 6.0,
          "composite": 8.0
        },
        "02-scrapbook": {
          "P": 9.0,
          "B": 9.0,
          "C": 10.0,
          "A": 9.0,
          "composite": 9.25
        },
        "03-icp-catalog": {
          "P": 9.0,
          "B": 8.0,
          "C": 8.0,
          "A": 6.0,
          "composite": 7.75
        },
        "04-wot-analysis": {
          "P": 9.0,
          "B": 6.0,
          "C": 7.0,
          "A": 5.0,
          "composite": 6.75
        },
        "05-semantic-particles": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 3.0,
          "composite": 7.5
        },
        "06-pattern-decoder": {
          "P": 9.0,
          "B": 7.0,
          "C": 8.0,
          "A": 6.0,
          "composite": 7.5
        },
        "07-ad-library-bank": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 5.0,
          "composite": 7.75
        },
        "08-funnel-channel-map": {
          "P": 9.0,
          "B": 6.0,
          "C": 7.0,
          "A": 5.0,
          "composite": 6.75
        },
        "10-mirofish-300": {
          "P": 9.0,
          "B": 8.0,
          "C": 8.0,
          "A": 7.0,
          "composite": 8.0
        },
        "13-creative-angles": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 0.0,
          "composite": 7.0
        },
        "14-art-direction": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 9.0,
          "composite": 9.0
        },
        "15-performance-blueprint": {
          "P": 9.0,
          "B": 4.0,
          "C": 5.0,
          "A": 3.0,
          "composite": 5.25
        },
        "16-top1pct-audit": {
          "P": 9.5,
          "B": 8.5,
          "C": 9.0,
          "A": 7.5,
          "composite": 8.6
        },
        "17-90day-execution": {
          "P": 9.0,
          "B": 6.0,
          "C": 7.0,
          "A": 7.0,
          "composite": 7.25
        },
        "18-EXEC-BRIEF": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 5.0,
          "composite": 7.75
        }
      },
      "avg": 7.6066666666666665,
      "weakest_3": [
        "15-performance-blueprint",
        "04-wot-analysis",
        "08-funnel-channel-map"
      ]
    },
    {
      "loop": 3,
      "scores": {
        "01-market-map": {
          "P": 8.0,
          "B": 8.0,
          "C": 8.0,
          "A": 7.0,
          "composite": 7.75
        },
        "02-scrapbook": {
          "P": 9.0,
          "B": 10.0,
          "C": 9.0,
          "A": 9.0,
          "composite": 9.25
        },
        "03-icp-catalog": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 7.0,
          "composite": 8.25
        },
        "05-semantic-particles": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 6.0,
          "composite": 8.0
        },
        "06-pattern-decoder": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 3.0,
          "composite": 7.25
        },
        "07-ad-library-bank": {
          "P": 9.0,
          "B": 8.0,
          "C": 9.0,
          "A": 5.0,
          "composite": 7.75
        },
        "08-funnel-channel-map": {
          "P": 9.5,
          "B": 7.0,
          "C": 8.0,
          "A": 6.0,
          "composite": 7.6
        },
        "10-mirofish-300": {
          "P": 9.0,
          "B": 7.0,
          "C": 8.0,
          "A": 5.0,
          "composite": 7.25
        },
        "13-creative-angles": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 0.0,
          "composite": 6.75
        },
        "14-art-direction": {
          "P": 9.0,
          "B": 9.0,
          "C": 9.0,
          "A": 9.0,
          "composite": 9.0
        },
        "15-performance-blueprint": {
          "P": 9.0,
          "B": 6.0,
          "C": 5.0,
          "A": 4.0,
          "composite": 6.0
        },
        "16-top1pct-audit": {
          "P": 9.0,
          "B": 8.0,
          "C": 8.0,
          "A": 8.0,
          "composite": 8.25
        },
        "17-90day-execution": {
          "P": 9.0,
          "B": 6.0,
          "C": 7.0,
          "A": 6.0,
          "composite": 7.0
        },
        "18-EXEC-BRIEF": {
          "P": 9.5,
          "B": 9.0,
          "C": 9.5,
          "A": 5.0,
          "composite": 8.25
        }
      },
      "avg": 7.739285714285714,
      "weakest_3": [
        "15-performance-blueprint",
        "13-creative-angles",
        "17-90day-execution"
      ]
    }
  ],
  "phase2_artefacts_shipped": [
    "01-market-map.html",
    "02-scrapbook.html",
    "03-icp-catalog.html",
    "04-wot-analysis.html",
    "05-semantic-particles.html",
    "06-pattern-decoder.html",
    "07-ad-library-bank.html",
    "08-funnel-channel-map.html",
    "09-pricing-ladder.html",
    "10-mirofish-300.html",
    "12-visual-references.html",
    "13-creative-angles.html",
    "14-art-direction.html",
    "15-performance-blueprint.html",
    "16-top1pct-audit.html",
    "17-90day-execution.html",
    "18-EXEC-BRIEF.html"
  ],
  "per_artefact_score_loop3": {
    "01-market-map": 7.75,
    "02-scrapbook": 9.75,
    "03-icp-catalog": 9.1,
    "04-wot-analysis": 8.0,
    "05-semantic-particles": 8.0,
    "06-pattern-decoder": 8.25,
    "07-ad-library-bank": 8.5,
    "08-funnel-channel-map": 6.75,
    "09-pricing-ladder": 7.8,
    "10-mirofish-300": 8.6,
    "12-visual-references": 9.0,
    "13-creative-angles": 8.25,
    "14-art-direction": 9.5,
    "15-performance-blueprint": 4.5,
    "17-90day-execution": 8.5,
    "18-EXEC-BRIEF": 8.9
  },
  "weakest_at_loop3": [
    "15-performance-blueprint",
    "08-funnel-channel-map",
    "01-market-map"
  ],
  "per_artefact_score_final": {
    "01-market-map": 7.75,
    "02-scrapbook": 9.25,
    "03-icp-catalog": 8.25,
    "05-semantic-particles": 8.0,
    "06-pattern-decoder": 7.25,
    "07-ad-library-bank": 7.75,
    "08-funnel-channel-map": 7.6,
    "10-mirofish-300": 7.25,
    "13-creative-angles": 6.75,
    "14-art-direction": 9.0,
    "15-performance-blueprint": 6.0,
    "16-top1pct-audit": 8.25,
    "17-90day-execution": 7.0,
    "18-EXEC-BRIEF": 8.25
  },
  "weakest_at_final": [
    "15-performance-blueprint",
    "13-creative-angles",
    "17-90day-execution"
  ],
  "tools_used_phase2": [
    "WebSearch",
    "WebFetch",
    "Firecrawl REST",
    "Moonshot Kimi-K2 (via OpenRouter)",
    "Gemini-2.5-flash"
  ],
  "phase3": {
    "trackA": {
      "score": 9.2,
      "path": "~/.zennith/workspace/intel/4-brands-deep-research-2026-05-15/mirra/artefacts/21-finance-model.html",
      "lines": 1238,
      "sources_cited": 22,
      "comparable_exits_count": 7,
      "sections_complete": 9,
      "per_section_score": {
        "1-executive-summary": 9.2,
        "2-tam-sam-som": 9.4,
        "3-unit-economics": 9.3,
        "4-y1-y5-pl": 9.0,
        "5-comparable-exits": 9.5,
        "6-capital-dilution": 8.9,
        "7-investment-vectors": 9.0,
        "8-risks-mitigants": 9.2,
        "9-exit-scenarios": 9.3
      },
      "cost_spent_usd": 3.4,
      "completed_at": "2026-05-16",
      "tools_used": [
        "WebSearch",
        "WebFetch",
        "Bash/Python",
        "existing-artefact-scrape"
      ]
    },
    "track_b": {
      "path": "22-creative-spec.html",
      "lines": 801,
      "size_kb": 84,
      "composite_score": 8.75,
      "sections": 10,
      "status": "LOCK",
      "date": "2026-05-16"
    }
  }
}