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    "ok": true,
    "_meta": {
        "validator": "oppl_complex_asset_json_validator",
        "validator_version": "1.1.1",
        "captured_at_utc": "2026-08-08T18:32:57+00:00",
        "captured_unix": 1786213977,
        "input_source": "url",
        "input_url": "https://oppl.ai/llms/runs/etf/IE000KF370H3_ucits_default_latest.json",
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        "agent_enabled": true,
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        "agent_model": "gpt-4.1-mini",
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        "agent_max_tokens": 1800,
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        "validator_modes": {
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            "agent": "executed"
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    "isin": "IE000KF370H3",
    "classification": "complex",
    "policy_mode": "ucits_default",
    "decision_rule_applied": "etf_leveraged_hard_complex_rule",
    "validator_verdict": "pass",
    "publishable": true,
    "confidence": 0.88,
    "issue_count": 0,
    "issues": [],
    "suggested_repairs": [],
    "deterministic_review": {
        "ok": true,
        "validator_type": "deterministic",
        "validator_verdict": "pass",
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        "confidence": 0.88,
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        "decisive_signal_evidence": {
            "checked": true,
            "decision_rule_signal": "leveraged",
            "decision_rule_signal_true": true,
            "decision_rule_signal_supported": true,
            "true_hard_signals": [
                "leveraged",
                "synthetic_replication"
            ],
            "supported_hard_signals": [
                "leveraged",
                "synthetic_replication"
            ],
            "unsupported_hard_signals": [],
            "checks": {
                "leveraged": {
                    "signal_true": true,
                    "direct_evidence": true,
                    "matching_evidence_count": 2,
                    "decision_rule_uses_signal": true,
                    "matches": [
                        {
                            "index": 0,
                            "source": "PRIIPS_KID",
                            "evidence_signal": "leveraged",
                            "quote": "The index is designed to track the performance of a 90 % exposure to large -cap US equities and 60 % to US Treasury Bond Futures, effectively delivering a leveraged position to the traditional 60 /40 portfolio ."
                        },
                        {
                            "index": 1,
                            "source": "FACTSHEET",
                            "evidence_signal": "leveraged",
                            "quote": "This ETF contains elements of leverage which could lead to significantly magnified losses in comparison to investments that do not incorporate leverage"
                        }
                    ]
                },
                "synthetic_replication": {
                    "signal_true": true,
                    "direct_evidence": true,
                    "matching_evidence_count": 1,
                    "decision_rule_uses_signal": false,
                    "matches": [
                        {
                            "index": 2,
                            "source": "KIID",
                            "evidence_signal": "derivatives_core_strategy",
                            "quote": "Bond component: The Index provides synthetic exposure to a basket of US Treasury futures contracts with maturities ranging from 2 to 30 years in order to achieve a 60% notional exposure to Bonds."
                        }
                    ]
                }
            }
        },
        "derivative_materiality": {
            "checked": true,
            "policy_mode": "ucits_default",
            "type": "ETF",
            "ucits": true,
            "physical_replication": false,
            "swaps_signal": false,
            "synthetic_replication": true,
            "derivatives_core_strategy": true,
            "derivatives_epm_only": false,
            "derivative_evidence_count": 1,
            "swap_evidence_count": 0,
            "permission_or_ancillary_evidence_count": 0,
            "core_derivative_evidence_count": 1,
            "only_permission_or_ancillary_derivative_evidence": false,
            "supported_independent_hard_signals": [
                "leveraged",
                "synthetic_replication"
            ]
        },
        "detected_features": {
            "helo_or_core_options_overlay": false,
            "physical_replication": false,
            "has_epm_only_evidence": false,
            "has_core_derivatives_evidence": true,
            "has_generic_fdi_permission_evidence": false,
            "has_option_overlay_evidence": false
        }
    },
    "agent_review": {
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        "model": "gpt-4.1-mini",
        "temperature": 0,
        "max_tokens": 1800,
        "usage": {
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            "completion_tokens": 250,
            "total_tokens": 3029,
            "raw": {
                "prompt_tokens": 2779,
                "completion_tokens": 250,
                "total_tokens": 3029,
                "cost": 0.0015116,
                "is_byok": false,
                "prompt_tokens_details": {
                    "cached_tokens": 0,
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                    "video_tokens": 0
                },
                "cost_details": {
                    "upstream_inference_cost": 0.0015116,
                    "upstream_inference_prompt_cost": 0.0011116,
                    "upstream_inference_completions_cost": 0.0004
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                "completion_tokens_details": {
                    "reasoning_tokens": 0,
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        },
        "cost": {
            "estimated": false,
            "actual_provider_cost_available": true,
            "model": "gpt-4.1-mini",
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            "completion_tokens": 250,
            "total_tokens": 3029,
            "input_cost_usd": 0.0011116,
            "output_cost_usd": 0.0004,
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            "pricing_basis": "openrouter_usage_cost"
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        "review": {
            "validator_verdict": "pass",
            "publishable": true,
            "confidence": 0.93,
            "summary": "The assessment is internally consistent with classification=complex supported by leveraged and synthetic_replication signals. The decision_rule_applied (etf_leveraged_hard_complex_rule) matches the leveraged signal which is directly evidenced by multiple product-specific quotes. The derivatives_core_strategy=true signal is supported by direct product-specific evidence of synthetic exposure to US Treasury futures, not merely asserted. There is no conflict between derivatives_epm_only=false and derivatives_core_strategy=true. The synthetic replication evidence proves actual/material derivative exposure and strategy-defining use, consistent with policy. The product is a physical replication UCITS ETF with synthetic replication and leverage, correctly classified as complex in ucits_default mode. No HELO or option overlay strategy is present, so no re-labelling of derivatives_epm_only is needed. All supporting_evidence signal labels match their quotes. The counterparty_risk signal is supported by counterparty risk language. The JSON is internally consistent, policy-compliant, and client-publishable as-is. No repairs are necessary.",
            "issues": [],
            "suggested_repairs": []
        }
    }
}