Failure patterns as a reusable asset.

{
  "status": "success",
  "data": {
    "contract": {
      "id": "reliability-corpus",
      "name": "Reliability Corpus",
      "summary": "A static reference library of failure patterns, runner-difference notes, assumption drift, and claim-safety examples.",
      "htmlPath": "/agent-verification/reliability-corpus",
      "artifactPath": "/reliability/reliability-corpus-sample.json",
      "artifactProvenance": {
        "schemaVersion": "trading4ai-public-reliability-v1",
        "artifactVersion": "reliability-corpus-sample-2026-05-23",
        "generatedAt": "2026-05-23T00:00:00.000Z",
        "staticSnapshotAt": "2026-05-23T00:00:00.000Z",
        "artifactUrl": "/reliability/reliability-corpus-sample.json",
        "citationFields": [
          "artifactVersion",
          "generatedAt",
          "entries[].firstSeenAt",
          "entries[].lastUpdatedAt",
          "entries[].sourceRefs"
        ],
        "howToCite": [
          "When citing a corpus entry, keep artifactVersion, generatedAt, firstSeenAt, lastUpdatedAt, and sourceRefs in the review trace.",
          "Treat a corpus hit as a warning reference only; it is not a final verdict about a strategy, report, or system."
        ]
      },
      "artifactStatus": "static_public_sample",
      "evidenceScope": "warning_pattern",
      "reviewMode": "reference_only",
      "citationPolicy": {
        "mode": "warning_reference_only",
        "summary": "This corpus is a warning reference, not a final verdict about a strategy or system.",
        "guidance": [
          "Use the corpus to trigger deeper verification and review.",
          "Do not upgrade a corpus hit into a universal invalidation claim."
        ]
      },
      "intendedUsers": [
        "AI agents checking generated financial claims against known failure patterns",
        "Human reviewers comparing a strategy, report, or action against reusable warnings",
        "Crawlers indexing TRADING4AI's public reliability materials"
      ],
      "acceptedInput": {
        "label": "Corpus lookup context",
        "items": [
          "domain: optional backtest_assumptions, runner_difference, claim_safety, or related category",
          "severity: optional low, medium, or high",
          "source: optional source-ref or text search",
          "updatedSince: optional date filter for changed entries"
        ]
      },
      "outputShape": {
        "label": "Reference corpus result",
        "items": [
          "entries: failure-pattern records with id, pattern, domain, severity, and notes",
          "sourceRefs: public references for each pattern",
          "firstSeenAt and lastUpdatedAt",
          "filters, generatedAt, and limitations",
          "machine-readable JSON artifact"
        ]
      },
      "suitableUseCases": [
        "Checking whether a backtest or strategy report has known failure modes",
        "Teaching financial agents to avoid unsafe or overconfident claim patterns",
        "Providing crawlable reference material for reliability and claim-safety review"
      ],
      "limitations": [
        "A corpus hit is a warning shape, not proof that every related strategy is invalid",
        "The corpus does not replace runner verification or human judgment",
        "Source behavior, platform documentation, and assumptions can change over time"
      ],
      "nonGoals": [
        "No live strategy scoring",
        "No complete financial-risk ontology",
        "No execution approval",
        "No guarantee that all possible failure modes are covered"
      ],
      "crawlerGuidance": [
        "Index the HTML page for browsable failure patterns",
        "Use the JSON artifact for stable machine retrieval",
        "Treat entries as reference warnings, not final verdicts"
      ]
    },
    "usageRules": {
      "serviceId": "reliability-corpus",
      "startHere": [
        "Read the HTML page first when the task is to compare a financial claim, report, or workflow against known warning patterns.",
        "Treat corpus entries as reusable review hints that trigger deeper verification, not as final proof by themselves.",
        "Use the filters and sample collections as a static reference workflow, not as a scoring engine."
      ],
      "openLinkedPackWhen": [
        "Open the linked pack when the review has become concrete, especially for publication wording, claim safety, or scenario-level escalation logic.",
        "Use the pack when you need a task-shaped checklist instead of a broad warning library."
      ],
      "downloadJsonWhen": [
        "Download the JSON only after the HTML page makes the warning-only scope and limitations explicit.",
        "Use the artifact for retrieval, audit storage, or pattern benchmarking when another agent needs the stable failure-pattern dataset."
      ],
      "escalateToHumanReviewWhen": [
        "A corpus hit is being treated as final proof, execution approval, or a universal invalidation claim.",
        "The review would block or approve money movement, compliance language, or public claims without source-specific verification.",
        "Runner behavior, assumptions, or time windows need fresh confirmation before any high-stakes conclusion."
      ],
      "whatThisPageDoesNotDo": [
        "It does not score a live strategy, rank systems, or certify that a report is safe.",
        "It does not replace runner verification, human judgment, or scenario-specific evidence review.",
        "It does not run backtests or produce request-time backend judgments."
      ]
    },
    "interpretationGuide": {
      "hitMeaning": [
        "A corpus hit is a reusable warning reference about a known failure shape.",
        "A hit should trigger deeper verification, runner comparison, or human review before reuse.",
        "A hit does not mean the entire strategy, report, or workflow is permanently invalid."
      ],
      "citationChecklist": [
        "Keep firstSeenAt, lastUpdatedAt, and sourceRefs visible when citing a corpus entry.",
        "Preserve the domain and severity so the warning is not taken out of context.",
        "Carry notes and limitations forward when the hit influences a human or agent decision."
      ],
      "doNotUpgradeTo": [
        "Do not upgrade a corpus hit into final proof, universal invalidation, or execution approval.",
        "Do not present a corpus entry as legal advice, enforcement action, or formal compliance determination.",
        "Do not use the corpus as a live strategy score or a replacement for runner-specific evidence."
      ]
    },
    "entries": [
      {
        "id": "lookahead_bias",
        "pattern": "Lookahead bias and future leakage",
        "domain": "backtest_assumptions",
        "severity": "high",
        "artifactStatus": "static_public_sample",
        "evidenceScope": "warning_pattern",
        "reviewIntent": "Trigger deeper timestamp and runner verification before any public or operational reuse.",
        "usageGuidance": [
          "Use this entry to request deeper timestamp-alignment and feature-construction review."
        ],
        "doNotUpgradeTo": [
          "Do not present this entry as final proof that every related strategy is invalid."
        ],
        "sourceRefs": [
          "https://www.freqtrade.io/en/stable/lookahead-analysis/"
        ],
        "firstSeenAt": "2026-05-22T00:00:00.000Z",
        "lastUpdatedAt": "2026-05-23T00:00:00.000Z",
        "notes": [
          "The strategy appears to see future bars or derived values before they are available.",
          "Treat as invalid until timestamp alignment and indicator construction are verified."
        ]
      },
      {
        "id": "repainting",
        "pattern": "Repainting indicator or chart logic",
        "domain": "backtest_assumptions",
        "severity": "high",
        "artifactStatus": "static_public_sample",
        "evidenceScope": "warning_pattern",
        "reviewIntent": "Trigger deeper indicator-timing verification before any public performance restatement.",
        "usageGuidance": [
          "Use this entry to ask whether indicator values change after bar close or after recomputation."
        ],
        "doNotUpgradeTo": [
          "Do not present this entry as automatic proof of fraud or intentional deception."
        ],
        "sourceRefs": [
          "https://www.tradingview.com/support/solutions/43000599874-what-is-repainting/"
        ],
        "firstSeenAt": "2026-05-22T00:00:00.000Z",
        "lastUpdatedAt": "2026-05-23T00:00:00.000Z",
        "notes": [
          "Historical values can change after the bar closes or after the indicator recalculates.",
          "Do not present a repainting series as stable historical evidence."
        ]
      },
      {
        "id": "fee_slippage_drift",
        "pattern": "Fee and slippage assumption drift",
        "domain": "backtest_assumptions",
        "severity": "high",
        "artifactStatus": "static_public_sample",
        "evidenceScope": "warning_pattern",
        "reviewIntent": "Trigger cost-model verification before publishing backtest conclusions.",
        "usageGuidance": [
          "Use this entry to ask for explicit fee, slippage, and fill-assumption documentation."
        ],
        "doNotUpgradeTo": [
          "Do not present this entry as final proof that the whole strategy is worthless."
        ],
        "sourceRefs": [
          "https://www.quantconnect.com/docs/v2/writing-algorithms/backtesting/performance"
        ],
        "firstSeenAt": "2026-05-22T00:00:00.000Z",
        "lastUpdatedAt": "2026-05-23T00:00:00.000Z",
        "notes": [
          "Backtest results can degrade sharply when fee and slippage assumptions are made more realistic.",
          "A result without explicit fee and slippage assumptions is not auditable."
        ]
      },
      {
        "id": "sample_vs_live_gap",
        "pattern": "Sample-versus-live gap",
        "domain": "runner_difference",
        "severity": "medium",
        "artifactStatus": "static_public_sample",
        "evidenceScope": "warning_pattern",
        "reviewIntent": "Trigger scope and dataset-boundary review before sample outputs are reused as live evidence.",
        "usageGuidance": [
          "Use this entry to ask whether a result came from sample, offline, synthetic, or live conditions."
        ],
        "doNotUpgradeTo": [
          "Do not present this entry as proof that a system can never work live."
        ],
        "sourceRefs": [
          "https://www.quantconnect.com/docs/v2/writing-algorithms/backtesting",
          "https://www.freqtrade.io/en/stable/backtesting/"
        ],
        "firstSeenAt": "2026-05-22T00:00:00.000Z",
        "lastUpdatedAt": "2026-05-23T00:00:00.000Z",
        "notes": [
          "Synthetic or offline samples can validate flow but do not prove live performance.",
          "Always label sample data as sample data."
        ]
      },
      {
        "id": "runner_contract_mismatch",
        "pattern": "Runner contract mismatch",
        "domain": "runner_difference",
        "severity": "high",
        "artifactStatus": "static_public_sample",
        "evidenceScope": "warning_pattern",
        "reviewIntent": "Trigger runner-contract diff review before comparing outputs across environments.",
        "usageGuidance": [
          "Use this entry to ask whether fill, timing, and execution assumptions were matched across runners."
        ],
        "doNotUpgradeTo": [
          "Do not present this entry as automatic proof that one runner is correct and the other is wrong."
        ],
        "sourceRefs": [
          "https://www.quantconnect.com/docs/v2/writing-algorithms/backtesting",
          "https://www.freqtrade.io/en/stable/lookahead-analysis/"
        ],
        "firstSeenAt": "2026-05-22T00:00:00.000Z",
        "lastUpdatedAt": "2026-05-23T00:00:00.000Z",
        "notes": [
          "Different runners can disagree on order fill behavior, bar-close logic, or execution timing.",
          "Do not compare results across runners without a documented contract diff."
        ]
      },
      {
        "id": "claim_safety_overreach",
        "pattern": "Claim safety overreach",
        "domain": "claim_safety",
        "severity": "high",
        "artifactStatus": "static_public_sample",
        "evidenceScope": "warning_pattern",
        "reviewIntent": "Trigger claim-boundary review before evidence packaging is upgraded into public-facing conclusions.",
        "usageGuidance": [
          "Use this entry to ask whether a statement exceeds what the cited evidence can support."
        ],
        "doNotUpgradeTo": [
          "Do not present this entry as legal advice, enforcement action, or final compliance determination."
        ],
        "sourceRefs": [
          "https://www.sec.gov/oiea/investor-alerts-and-bulletins",
          "https://consumer.ftc.gov/articles/what-know-about-cryptocurrency-and-scams"
        ],
        "firstSeenAt": "2026-05-22T00:00:00.000Z",
        "lastUpdatedAt": "2026-05-23T00:00:00.000Z",
        "notes": [
          "A packaging layer can summarize evidence, but it must not claim legal clearance or guaranteed safety.",
          "Do not rewrite marketing claims into verified facts."
        ]
      }
    ],
    "sampleInventory": [
      {
        "id": "backtest_assumption_audit",
        "title": "Backtest assumption audit",
        "scenario": "Use this collection when an agent or reviewer needs to sanity-check a strategy report for lookahead, repainting, and cost-assumption mistakes.",
        "whyItMatters": "Shows how the corpus can catch common reasons a backtest result should not be trusted at face value."
      },
      {
        "id": "runner_difference_review",
        "title": "Runner difference review",
        "scenario": "Use this collection when comparing results across runners, synthetic samples, or mismatched execution contracts.",
        "whyItMatters": "Shows why agent-facing results need runner and data-contract context before any comparison is treated as meaningful."
      },
      {
        "id": "claim_safety_review",
        "title": "Claim safety review",
        "scenario": "Use this collection when a financial agent is about to restate marketing or evidence into public-facing conclusions.",
        "whyItMatters": "Shows how the corpus can block overconfident or unsafe public statements before they are repeated downstream."
      }
    ],
    "sampleCollections": [
      {
        "id": "backtest_assumption_audit",
        "title": "Backtest assumption audit",
        "scenario": "Use this collection when an agent or reviewer needs to sanity-check a strategy report for lookahead, repainting, and cost-assumption mistakes.",
        "filters": {
          "domain": "backtest_assumptions",
          "severity": "high"
        },
        "entryIds": [
          "lookahead_bias",
          "repainting",
          "fee_slippage_drift"
        ]
      },
      {
        "id": "runner_difference_review",
        "title": "Runner difference review",
        "scenario": "Use this collection when comparing results across runners, synthetic samples, or mismatched execution contracts.",
        "filters": {
          "domain": "runner_difference"
        },
        "entryIds": [
          "sample_vs_live_gap",
          "runner_contract_mismatch"
        ]
      },
      {
        "id": "claim_safety_review",
        "title": "Claim safety review",
        "scenario": "Use this collection when a financial agent is about to restate marketing or evidence into public-facing conclusions.",
        "filters": {
          "domain": "claim_safety",
          "severity": "high"
        },
        "entryIds": [
          "claim_safety_overreach"
        ]
      }
    ],
    "totalEntries": 6,
    "filteredEntries": 6,
    "filters": {},
    "generatedAt": "2026-05-23T00:00:00.000Z",
    "limitations": [
      "This corpus packages failure patterns and review notes; it does not replace human judgment or runner verification.",
      "A corpus entry is evidence of a known failure shape, not proof that a strategy is invalid in every context.",
      "Source availability, runner behavior, and assumptions can change over time."
    ]
  },
  "request_id": "reliability_corpus_2a5c4fff-c6f1-45a1-af68-e8edb3c17a80",
  "timestamp": "2026-05-23T00:00:00.000Z"
}