{DEFI_SCORES.map((s, i) => (
{TIERS[s.tier]?.glyph || '?'}
{s.dim}
= 70 ? 'bg-success' : s.score >= 40 ? 'bg-warning' : 'bg-critical'}`} style={{ width: `${s.score}%` }} />
{s.grade}
{s.score}/100
))}
Eligibility ≠ Bankability: software may legally be pledged, borrower may own it, lender may perfect security interest — yet asset may have negligible liquidation value without buyers, revenue, documentation, or operating system.
{/* Five Evidence Layers */}
toggle('evidence')}>
{EVIDENCE_LAYERS.map(layer => {
const Icon = layer.icon
return (
{layer.glyph}
{layer.label}
ALL UNVERIFIED
{layer.items.map((item, i) => (
?{item}
))}
)
})}
{/* Implementation Defects */}
toggle('defects')}>
{IMPL_DEFS.map((d, i) => (
{d.sev === 'high' ? '⟁' : d.sev === 'medium' ? '▲' : '◇'}
{d.sev}
))}
{/* Financial + Legal */}
toggle('financial')}>
Collateral Grade: F (GATED)
Secret exposure gate triggered. Unconditional A grade is invalid when risk=90/100, secret_exposure, and litigation_risk exist.
{fin.has_financial_statements &&
◆ Financial statements detected}
{fin.finance_metrics && Object.keys(fin.finance_metrics).length > 0 && (
Metrics Detected
{Object.entries(fin.finance_metrics).map(([k, v]) => {k} ×{v})}
)}
toggle('legal')}>
UCC Article 9 — General Intangible
Software may legally be pledged. Does NOT establish market value, lender acceptance, ownership, priority, or recoverability.
{legal.has_contract_language &&
⚠ Contract language detected}
{legal.regulatory?.length > 0 && (
Regulatory
{legal.regulatory.map(r => {r})}
)}
{legal.ip_references?.length > 0 && (
IP References
{legal.ip_references.map(r => {r})}
)}
{/* ML Insights */}
toggle('ml')}>
{ml.available ? (
{ml.topics?.length > 0 && (
NMF Topics
{ml.topics.map((t, i) => (
T{t.id}
{t.keywords?.map((kw, j) => {kw})}
{t.chunk_count} chunks
))}
)}
{ml.tfidf_top?.length > 0 && (
TF-IDF Top Terms
{ml.tfidf_top.map((t, i) => {typeof t === 'object' ? t.term || t : t})}
)}
{ml.information_density &&
Info Density
{ml.information_density} bits/char
}
{ml.zipf_slope &&
Zipf Slope
{ml.zipf_slope}
}
{ml.vocabulary_concentration &&
Vocab Concentration
{ml.vocabulary_concentration}
}
{ml.topic_coherence &&
Topic Coherence
{ml.topic_coherence}
}
{ml.anomaly_count > 0 && (
{ml.anomaly_count} anomalous chunks (Isolation Forest) — analysis on 3-line previews, degraded accuracy
)}
{ml.llm_extrapolation && (
LLM Extrapolation (⚠ uses source-derived content)
{ml.llm_extrapolation.inferred_purpose &&
Purpose: {ml.llm_extrapolation.inferred_purpose}
}
{ml.llm_extrapolation.hidden_value &&
Hidden Value: {ml.llm_extrapolation.hidden_value}
}
{ml.llm_extrapolation.counterparty_risk &&
Risk: {ml.llm_extrapolation.counterparty_risk}
}
{ml.llm_extrapolation.monetization_vector &&
Monetization: {ml.llm_extrapolation.monetization_vector}
}
)}
ML features unavailable — {ml.error || 'scikit-learn not installed'}
}
{/* KPI Summary — Expanded */}
toggle('kpi')}>
{kpi.by_category && Object.keys(kpi.by_category).length > 0 && (
{Object.entries(kpi.by_category).map(([cat, count]) => (
{cat}: {count}
))}
{ml.inferred_kpis?.length > 0 && ml_inferred: {ml.inferred_kpis.length}}
{llmFacts.length > 0 && llm_generated: {llmFacts.length}}
)}
{kpi.top_financial?.length > 0 && (
Top Financial KPIs
{kpi.top_financial.map((k, i) => (
◉
{k.name}
{k.value}
L{k.line}
))}
)}
{kpi.top_technical?.length > 0 && (
Top Technical KPIs
{kpi.top_technical.map((k, i) => (
◉
{k.name}
{k.value}
L{k.line}
))}
)}
{ml.inferred_kpis?.length > 0 && (
ML-Inferred KPIs (◇ inferred)
{ml.inferred_kpis.map((k, i) => (
◇
{k.name}
{k.value}
{k.method}
))}
)}
{/* Risk Assessment */}
toggle('risk')}>
{risk.level?.toUpperCase()}
{risk.score}/100
{risk.signals?.length > 0 && (
{risk.signals.map((s, i) => ⟁ {s})}
)}
Risk-Collateral Contradiction
Risk 90/100 + secret_exposure + litigation_risk → Collateral A (100/100) is invalid. Corrected: F (0/100) — gated.
{/* LLM Facts */}
{llmFacts.length > 0 && (
toggle('llmfacts')}>
{llmFacts.map((fact, i) => (
{String(fact.id || i + 1).padStart(2, '0')}
{fact.label}
{fact.value}
{fact.category}
{((fact.confidence || 0) * 100).toFixed(0)}%
))}
⟡ Groq LLM · llama-3.3-70b│
⚠ First 2,000 chars of file content sent to LLM
)}
{/* Recommendations */}
toggle('recs')}>
{recs.map((rec, i) => (
{PG[rec.priority] || '◌'}
{rec.action}
{rec.priority}
{rec.reason}
))}
{/* Strongest Product */}
toggle('product')}>
Privacy-scoped software evidence gateway
Creates reproducible structural manifests and signed evaluation packets without transferring source code to an evaluator. To make this statement true, the underwriting gateway must be physically separated from Jorki content analysis, deployment automation, audio processing, and RentMasseur operations.
Separate from:
Content analysis · LLM calls · Deployment · Audio · RentMasseur
Keep in gateway:
Hashing · Merkle · Metadata · KPI extraction · Signed receipts
)}