{
  "schema_version": "1.0.0",
  "generated_at": "2026-04-28T08:14:07Z",
  "format": "abf",
  "format_name": "Agent Broadcast Feed",
  "profile": "filtered_feed",
  "pipeline": "news_torsion_sync_v1",
  "items": [
    {
      "slug": "2026-04-27-google-puts-ai-agents-at-heart-of-its-en",
      "title": "Google puts AI agents at heart of its enterprise money-making push",
      "status": "published",
      "visibility": "public",
      "format": "headline",
      "category": "news",
      "tags": [
        "ai monetization",
        "protocols",
        "agent-infrastructure"
      ],
      "confidence": 0.3,
      "freshness": "developing",
      "meta": {
        "version": "1.0.0",
        "date": "2026-04-27",
        "generator": "deep_synthesis_abf_shallow"
      },
      "summary": "",
      "entities": [],
      "sources": [
        {
          "name": "Reuters",
          "kind": "press"
        }
      ],
      "sections": [],
      "_pipeline": {
        "generator": "deep_synthesis_abf_shallow",
        "derived_torsion_score": 0.387,
        "has_trust_watermark": false,
        "has_analysis_shape": true,
        "tdss_mode": "hybrid",
        "tdss_applied": true,
        "tdss": {
          "tau_t": 0.2332,
          "tau_alert_level": "LOW",
          "phi_axis": 0.3873,
          "phi_alert_level": "LOW",
          "field_state": "stable",
          "field_magnitude": 0.3197,
          "field_classification": "LOW_TORSION",
          "inputs": {
            "trust": {
              "transaction_integrity": 0.25,
              "capital_flow_entanglement": 0.22,
              "supply_chain_loopback": 0.18,
              "talent_vector_coupling": 0.17,
              "market_regulation_signal": 0.2,
              "trend": "rising"
            },
            "axis": {
              "military_intensity": 0.15,
              "sanctions_scope": 0.18,
              "diplomatic_isolation": 0.16,
              "response_time_score": 0.2,
              "multi_axis_coordination": 0.2,
              "surprise_factor": 0.14,
              "external_support": 0.25,
              "internal_legitimacy": 0.35
            }
          }
        }
      },
      "glyph": {
        "ache_type": "Stability⊗Innovation",
        "φ_score_heuristic": 0.32,
        "φ_score": 0.387,
        "φ_score_tdss": 0.32
      }
    },
    {
      "slug": "2026-04-27-the-wall-street-journal-highlights-emerg",
      "title": "The Wall Street Journal Highlights Emerging 'Smell AI' - Ainos Advances Commercial Deployment in Semiconductor Environments",
      "status": "published",
      "visibility": "public",
      "format": "headline",
      "category": "news",
      "tags": [
        "platform-strategy",
        "ai monetization",
        "agent-infrastructure"
      ],
      "confidence": 0.3,
      "freshness": "developing",
      "meta": {
        "version": "1.0.0",
        "date": "2026-04-27",
        "generator": "deep_synthesis_abf_shallow"
      },
      "summary": "",
      "entities": [],
      "sources": [
        {
          "name": "WSJ",
          "kind": "press"
        }
      ],
      "sections": [],
      "_pipeline": {
        "generator": "deep_synthesis_abf_shallow",
        "derived_torsion_score": 0.387,
        "has_trust_watermark": false,
        "has_analysis_shape": true,
        "tdss_mode": "hybrid",
        "tdss_applied": true,
        "tdss": {
          "tau_t": 0.212,
          "tau_alert_level": "LOW",
          "phi_axis": 0.3873,
          "phi_alert_level": "LOW",
          "field_state": "stable",
          "field_magnitude": 0.3122,
          "field_classification": "LOW_TORSION",
          "inputs": {
            "trust": {
              "transaction_integrity": 0.25,
              "capital_flow_entanglement": 0.22,
              "supply_chain_loopback": 0.18,
              "talent_vector_coupling": 0.17,
              "market_regulation_signal": 0.2,
              "trend": "stable"
            },
            "axis": {
              "military_intensity": 0.15,
              "sanctions_scope": 0.18,
              "diplomatic_isolation": 0.16,
              "response_time_score": 0.2,
              "multi_axis_coordination": 0.2,
              "surprise_factor": 0.14,
              "external_support": 0.25,
              "internal_legitimacy": 0.35
            }
          }
        }
      },
      "glyph": {
        "ache_type": "Stability⊗Innovation",
        "φ_score_heuristic": 0.32,
        "φ_score": 0.387,
        "φ_score_tdss": 0.312
      }
    },
    {
      "slug": "2026-04-27-building-your-companys-ai-governance-fr",
      "title": "Building Your Company's AI Governance Framework to Reduce Risk",
      "status": "published",
      "visibility": "public",
      "format": "headline",
      "category": "news",
      "tags": [
        "ai-governance",
        "trust",
        "ai regulation",
        "governance",
        "agent-infrastructure",
        "protocols"
      ],
      "confidence": 0.3,
      "freshness": "developing",
      "meta": {
        "version": "1.0.0",
        "date": "2026-04-27",
        "generator": "deep_synthesis_abf_shallow"
      },
      "summary": "",
      "entities": [],
      "sources": [
        {
          "name": "Bloomberg Law",
          "kind": "press"
        }
      ],
      "sections": [],
      "_pipeline": {
        "generator": "deep_synthesis_abf_shallow",
        "derived_torsion_score": 0.48,
        "has_trust_watermark": false,
        "has_analysis_shape": true,
        "tdss_mode": "hybrid",
        "tdss_applied": true,
        "tdss": {
          "tau_t": 0.246,
          "tau_alert_level": "LOW",
          "phi_axis": 0.3873,
          "phi_alert_level": "LOW",
          "field_state": "stable",
          "field_magnitude": 0.3244,
          "field_classification": "LOW_TORSION",
          "inputs": {
            "trust": {
              "transaction_integrity": 0.33,
              "capital_flow_entanglement": 0.22,
              "supply_chain_loopback": 0.18,
              "talent_vector_coupling": 0.17,
              "market_regulation_signal": 0.3,
              "trend": "stable"
            },
            "axis": {
              "military_intensity": 0.15,
              "sanctions_scope": 0.18,
              "diplomatic_isolation": 0.16,
              "response_time_score": 0.2,
              "multi_axis_coordination": 0.2,
              "surprise_factor": 0.14,
              "external_support": 0.25,
              "internal_legitimacy": 0.35
            }
          }
        }
      },
      "glyph": {
        "ache_type": "Stability⊗Innovation",
        "φ_score_heuristic": 0.48,
        "φ_score": 0.48,
        "φ_score_tdss": 0.324
      }
    },
    {
      "slug": "2026-04-27-ai-boom-accelerates-chinas-chip-sector",
      "title": "AI boom accelerates China's chip sector as supply chains strain",
      "status": "published",
      "visibility": "public",
      "format": "headline",
      "category": "news",
      "tags": [
        "platform-strategy",
        "ai regulation",
        "agent-infrastructure"
      ],
      "confidence": 0.3,
      "freshness": "developing",
      "meta": {
        "version": "1.0.0",
        "date": "2026-04-27",
        "generator": "deep_synthesis_abf_shallow"
      },
      "summary": "",
      "entities": [],
      "sources": [
        {
          "name": "Reuters",
          "kind": "press"
        }
      ],
      "sections": [],
      "_pipeline": {
        "generator": "deep_synthesis_abf_shallow",
        "derived_torsion_score": 0.4,
        "has_trust_watermark": false,
        "has_analysis_shape": true,
        "tdss_mode": "hybrid",
        "tdss_applied": true,
        "tdss": {
          "tau_t": 0.2895,
          "tau_alert_level": "LOW",
          "phi_axis": 0.3873,
          "phi_alert_level": "LOW",
          "field_state": "stable",
          "field_magnitude": 0.3419,
          "field_classification": "LOW_TORSION",
          "inputs": {
            "trust": {
              "transaction_integrity": 0.25,
              "capital_flow_entanglement": 0.22,
              "supply_chain_loopback": 0.45,
              "talent_vector_coupling": 0.17,
              "market_regulation_signal": 0.3,
              "trend": "stable"
            },
            "axis": {
              "military_intensity": 0.15,
              "sanctions_scope": 0.18,
              "diplomatic_isolation": 0.16,
              "response_time_score": 0.2,
              "multi_axis_coordination": 0.2,
              "surprise_factor": 0.14,
              "external_support": 0.25,
              "internal_legitimacy": 0.35
            }
          }
        }
      },
      "glyph": {
        "ache_type": "Stability⊗Innovation",
        "φ_score_heuristic": 0.4,
        "φ_score": 0.4,
        "φ_score_tdss": 0.342
      }
    }
  ],
  "_meta": {
    "item_count": 37,
    "source_quality_score": 67.75,
    "tdss": {
      "mode": "hybrid",
      "threshold": 0.55,
      "available": true,
      "semantic_available": true,
      "active": true,
      "reason": "",
      "applied_items": 37,
      "total_items": 37
    },
    "source_quality": {
      "trust_ratio": 0,
      "analysis_ratio": 1,
      "torsion_ratio": 1
    }
  },
  "metadata": {
    "mirror_source": "manifest-yaml.com",
    "filter_tags": [
      "schema",
      "standards",
      "data-structures",
      "agent-infrastructure"
    ],
    "full_mirror": false,
    "domain": "agent-schema.com",
    "fallback_applied": false
  }
}