{
  "schema": "varexis-index-free-publication-preview/1",
  "catalogue_version": "ice-06-tranche-62-v1",
  "route_id": "agentic_reviewed_gcp_agent_platform_transparency_component_scope",
  "record_id": "VXI-EXT-ICE06-GCP-AGENT-PLATFORM-TRANSPARENCY-COMPONENT-SCOPE-01-v1",
  "question": "Does platform-level Access Transparency support cover every AI serving component?",
  "answer": "The captured Agent Platform guide lists component and workload exclusions, including custom-container inference or explanation, AutoML forecasting resources, RAG Engine, Vector Search 2.0 and Vizier. General support for the platform does not establish coverage of a deployment using an excluded path. Product names and support must be checked against the dated source.",
  "records": [
    {
      "record_id": "VXI-EXT-ICE06-GCP-AGENT-PLATFORM-TRANSPARENCY-COMPONENT-SCOPE-01-v1",
      "url": "/varexis-index/records/gcp-agent-platform-transparency-component-scope.json",
      "content_sha256": "080b90692ead63ce0451c5f431dd6b204bed42516aefee4a46b873be69f675cc",
      "evidence": {
        "schema": "varexis-public-evidence-record/0.3",
        "generated_at_utc": "2026-10-29T21:43:00.943093Z",
        "record_id": "VXI-EXT-ICE06-GCP-AGENT-PLATFORM-TRANSPARENCY-COMPONENT-SCOPE-01-v1",
        "record_kind": "external_reference",
        "title": "Google Cloud agent platform transparency component scope",
        "system": "Google Cloud",
        "evidence_family": "vendor_evidence_review",
        "index_status": "PUBLIC_SAFE_SOURCE_REVIEW",
        "evidence_state": "PRIMARY_DOCUMENTATION_REVIEW_ONLY",
        "canonical_question": "Does platform-level Access Transparency support cover every AI serving component?",
        "near_questions": [
          "Google Agent Platform Access Transparency exclusions",
          "custom container inference support access logs",
          "RAG Engine Vector Search transparency boundary",
          "AI platform audit component support"
        ],
        "supported_claims": [
          {
            "claim": "The captured Agent Platform guide lists component and workload exclusions, including custom-container inference or explanation, AutoML forecasting resources, RAG Engine, Vector Search 2.0 and Vizier. General support for the platform does not establish coverage of a deployment using an excluded path. Product names and support must be checked against the dated source.",
            "reliance": "DOCUMENTED_CAPABILITY_ONLY"
          }
        ],
        "not_demonstrated_claims": [
          "Do not apply a platform-wide logging claim to an excluded component or infer observed deployment behaviour from this review.",
          "Buyer implementation, live runtime enforcement, settled payment, verified deletion or certification are not established.",
          "No expanded capabilities or licences for existing INDEX executables."
        ],
        "public_summary": "The captured Agent Platform guide lists component and workload exclusions, including custom-container inference or explanation, AutoML forecasting resources, RAG Engine, Vector Search 2.0 and Vizier. General support for the platform does not establish coverage of a deployment using an excluded path. Product names and support must be checked against the dated source.",
        "related_record_ids": [],
        "source_review": {
          "source_type": "official_external_documentation",
          "source_title": "Google Cloud: Access Transparency in Agent Platform",
          "source_url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/machine-learning/general/access-transparency",
          "checked_on": "2026-10-29",
          "candidate_record_id": "VXI-EXT-ICE06-GCP-AGENT-PLATFORM-TRANSPARENCY-COMPONENT-SCOPE-01-v1",
          "candidate_record_sha256": "8efacbed00701a034d600093251bdb9a3b31be2938790c67c15ff0e3b7fe3f25",
          "method": "Primary documentation reviewed for the published bounded statement.",
          "deployment_tested_by_varexis": false,
          "revalidation": "The delivered snapshot preserves the review date shown. Recheck current primary documentation and deployment context before relying on present applicability; payment does not trigger fresh research."
        },
        "answer_policy": {
          "classification": "DOCUMENTED_WITH_DEPLOYMENT_BOUNDARY",
          "bounded_answer": "The captured Agent Platform guide lists component and workload exclusions, including custom-container inference or explanation, AutoML forecasting resources, RAG Engine, Vector Search 2.0 and Vizier. General support for the platform does not establish coverage of a deployment using an excluded path. Product names and support must be checked against the dated source.",
          "required_buyer_context": "actual service and component versions; serving path and custom-container use; dated support matrix; required access evidence. Buyer deployment not inspected.",
          "missing_evidence": "A broader claim needs evidence matching the intended use. Payment does not upgrade the evidence state."
        },
        "private_boundary": "Raw logs, thresholds, private paths, source code, protected mechanisms and reconstruction-level details are excluded from public and paid delivery.",
        "decision_profile": {
          "schema": "varexis-vendor-evidence-review/1",
          "review_status": "documentation_review_only",
          "checked_on": "2026-10-29",
          "claim_to_check": "Does platform-level Access Transparency support cover every AI serving component?",
          "documented_statement": {
            "status": "documented",
            "statement": "The captured Agent Platform guide lists component and workload exclusions, including custom-container inference or explanation, AutoML forecasting resources, RAG Engine, Vector Search 2.0 and Vizier. General support for the platform does not establish coverage of a deployment using an excluded path. Product names and support must be checked against the dated source.",
            "source_ids": [
              "gcp-ai-transparency"
            ]
          },
          "review_inference": {
            "status": "review_inference",
            "statement": "A buyer relies on platform branding when assessing support-access evidence for its RAG service. The deployed component can lie outside the stated logging coverage. Adds provider-specific component exclusions; the existing record concerns Databricks Gateway versus legacy endpoints. This is an operational review inference, not an observed deployment outcome.",
            "source_ids": [
              "gcp-ai-transparency"
            ]
          },
          "buyer_evidence_required": [
            "actual service and component versions",
            "serving path and custom-container use",
            "dated support matrix",
            "required access evidence"
          ],
          "review_condition": {
            "status": "varexis_review_policy",
            "statement": "Do not apply a platform-wide logging claim to an excluded component or infer observed deployment behaviour from this review."
          },
          "unknowns": "The buyer implementation, effective authority, source-data completeness and actual business outcomes were not inspected.",
          "unknown_finding": {
            "status": "unknown",
            "statement": "No buyer deployment or transaction was observed."
          },
          "evidence_sources": [
            {
              "source_id": "gcp-ai-transparency",
              "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/machine-learning/general/access-transparency",
              "final_url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/machine-learning/general/access-transparency",
              "captured_at_utc": "2026-10-29T19:18:24.552711+00:00",
              "status": 200,
              "content_type": "text/html; charset=utf-8",
              "bytes": 402676,
              "sha256": "2478689859fd8629db07d8b031fe9ece638e6c08932290e0d4f6d9d73f6ebbd5",
              "publisher": "Google Cloud",
              "version_context": "Rolling official documentation; applicability is limited to the exact captured response and its stated service, API and feature constraints. Recheck present support before current reliance. Source captured 2026-10-29T19:18:24.552711+00:00.",
              "rights_review": "Public original factual paraphrase and attributed source metadata only. Captured documentation bodies, code examples, images and vendor marks remain private. No vendor software licence, certification or buyer deployment assurance is granted.",
              "capture_integrity_verified": true,
              "source_assertion_reviewed": true,
              "title": "Google Cloud: Access Transparency in Agent Platform",
              "checked_on": "2026-10-29",
              "capture_status": 200,
              "claim_review_completed": true,
              "hash_basis": "SHA-256 of captured HTTP response body bytes",
              "reviewed_sections": [
                "Limitations of Access Transparency in Agent Platform"
              ]
            }
          ],
          "observed_deployment": false,
          "commercial_reliance_boundary": "Documentation supports only the stated boundary. Existing licensed checkers analyse supported supplied declarations locally; they do not inspect provider accounts, verify live behaviour, enforce decisions or certify compliance.",
          "paid_value": {
            "decision_context": "A buyer relies on platform branding when assessing support-access evidence for its RAG service. The deployed component can lie outside the stated logging coverage.",
            "free": "Complete source review, questions, provenance and limitations; free to read and save locally.",
            "single_request": "Unavailable for this publication-only record; historical saved retrieval is unchanged.",
            "evidence_receipt": "Unavailable for this publication-only record; no paid retrieval entitlement is added.",
            "excluded": [
              "Fresh source research",
              "Native provider integration or schema support",
              "Live inspection or runtime enforcement",
              "Payment settlement or verified deletion",
              "Certification or expanded licences"
            ],
            "integrity": "Hashes identify content versions; they do not prove factual truth or provide a signature."
          },
          "revalidation": {
            "trigger": "Recheck current primary documentation and the applicable API, service, account and configuration before reliance. No ongoing monitoring is included.",
            "specific_watch": "Limitations of Access Transparency in Agent Platform"
          },
          "buyer_relevance": "A buyer relies on platform branding when assessing support-access evidence for its RAG service. The deployed component can lie outside the stated logging coverage.",
          "refusal_conditions": [
            "Do not apply a platform-wide logging claim to an excluded component or infer observed deployment behaviour from this review.",
            "Do not infer deployment conformance, authority or successful outcomes from source documentation."
          ],
          "decision_context": {
            "operator": "Audit and evidence-accountability operator",
            "scenario": "A buyer relies on platform branding when assessing support-access evidence for its RAG service.",
            "consequence": "The deployed component can lie outside the stated logging coverage.",
            "confidence": "Primary documentation assertion supported; deployment applicability unverified"
          },
          "novelty_review": {
            "candidate_id": "ICE06-714C4D54D8BF",
            "disposition": "EXTENSION",
            "nearest_record_id": "VXI-EXT-TOOL-TRUST-DATABRICKS-01-v1",
            "nearest_record_url": "/varexis-index/records/databricks-mcp-gateway-legacy-trust.json",
            "nearest_record_sha256": "aa0068e6d494e3cb637cc7596c8b608d5e7cd05cee13f097910f34ebda18b93a",
            "material_distinction": "Adds provider-specific component exclusions; the existing record concerns Databricks Gateway versus legacy endpoints.",
            "independent_challenge": "PASS"
          },
          "optional_selection": {
            "guide_id": "agent-tool-change-execution-provenance",
            "guide_url": "/index-guides/agent-tool-change-execution-provenance",
            "guide_manifest": "/varexis-index/decision-guides.json",
            "checker": {
              "product_id": "agent-audit-coverage",
              "price_gbp_excluding_vat": 79,
              "purchase_url": "/index-access?route=agentic_pack_audit_coverage_v1",
              "licence_scope": "Existing separate internal-use licence; subscriptions do not include the executable.",
              "benefit": "Optional local analysis of supported supplied declarations only; no native provider integration or verification is added."
            },
            "boundary": "Optional adjacent workflow only. This review does not extend a checker input schema or implement native provider validation. Preserve the six canonical guides unchanged."
          },
          "exact_access": {
            "endpoint": "/mcp/catalogue",
            "tool": "get_publication_record",
            "arguments": {
              "record_id": "VXI-EXT-ICE06-GCP-AGENT-PLATFORM-TRANSPARENCY-COMPONENT-SCOPE-01-v1"
            },
            "record_url": "/varexis-index/records/gcp-agent-platform-transparency-component-scope.json",
            "original_mcp_search": false,
            "paid_saved_retrieval": false
          }
        },
        "niche": {
          "niche_id": "ice06-audit",
          "label": "Audit, Provenance & Evidence Accountability",
          "classification_id": "audit",
          "classification_label": "Audit, Provenance & Evidence Accountability",
          "topic_id": "audit",
          "buyer_intent": "A buyer relies on platform branding when assessing support-access evidence for its RAG service. The deployed component can lie outside the stated logging coverage.",
          "comparison_role": "supplementary_discovery"
        },
        "paid_access_note": "The full published answer and boundaries are free. Paid access saves the selected route and source versions, with an unsigned receipt when purchased. Preview coverage before paying. Fresh research, bespoke assessment and protected evidence are excluded.",
        "service_route": {
          "request_guide": "/varexis-index/request.html",
          "request_workflow": "/varexis-index/request-workflow.json",
          "service_id": "single_request",
          "service_routes_url": "/varexis-index/service-routes.json",
          "payment_required": true,
          "availability_endpoint": "/api/index/capabilities",
          "operational_status": "AUTOMATIC_SERVICE_CAPABILITIES_GATED",
          "checkout_url": "/index-access"
        },
        "authority_boundary": "VAREXIS-INDEX informs evidence reliance. It does not provide advice, certification, deployment authority, security assurance, production approval, or guarantee.",
        "human_page": "/varexis-index/catalog.html#gcp-agent-platform-transparency-component-scope",
        "machine_readable_record": "/varexis-index/records/gcp-agent-platform-transparency-component-scope.json"
      }
    }
  ],
  "access": {
    "mode": "exact_http_only",
    "payment_required": false,
    "purchase_url": null,
    "mcp_preview_available": false,
    "paid_saved_retrieval_available": false,
    "natural_language_search_qualified": false
  },
  "boundary": "Catalogue additions are available free through the exact HTTP JSON links below. Enhanced natural-language discovery is not yet qualified for these records. They are outside MCP search, MCP preview and paid saved retrieval. No search qualification, executable capability or entitlement is added.",
  "content_sha256": "864a27a0c08cd2f0a7d871310d3535650666bfbda24d8939965df8b412f44100"
}
