diff --git a/docs/research/ashtakavarga_deep_support_bridges_v1_2026_06_28.md b/docs/research/ashtakavarga_deep_support_bridges_v1_2026_06_28.md
new file mode 100644
index 00000000..fb2b1db5
--- /dev/null
+++ b/docs/research/ashtakavarga_deep_support_bridges_v1_2026_06_28.md
@@ -0,0 +1,54 @@
+# Ashtakavarga Deep Support Bridges v1
+
+Date: 2026-06-28
+
+## Scope
+
+This pass extends finance strict adjudication beyond raw SAV house support and connects three already-computed evidence layers:
+
+- `PAV / Prastara AV`
+- `Sodhita AV`
+- `Kakshya`
+
+The bridge is intentionally conservative. All three layers are added as secondary support or friction context only.
+
+## Contract
+
+Finance strict evidence now accepts:
+
+- `present_evidence.pav_finance_support`
+- `present_evidence.sodhita_finance_support`
+- `present_evidence.kakshya_finance_support`
+
+These can add:
+
+- `pav_finance_support`
+- `sodhita_wealth_friction`
+- `kakshya_finance_support`
+- `kakshya_finance_friction`
+
+to `event_judgement.secondary_context`.
+
+## Boundary
+
+This v1 pass does not:
+
+- directly change `dominant_label`
+- directly change `payout_label`
+- directly change score thresholds
+
+The goal is to make these layers visible and auditable in the adjudication chain before we let them influence window scoring.
+
+## Current Heuristics
+
+- `PAV`: marks support when a planet shows multiple strong contribution sources.
+- `Sodhita`: marks friction when both 2H and 11H resolve to low purified support.
+- `Kakshya`: marks support when average degree-level strength is high and friction when it is low.
+
+## Still Open
+
+- route-specific score weighting
+- richer mapping from PAV contributor identity to wealth theme
+- combining Kakshya with transit timing instead of route-level average only
+- external benchmark closure against JHora/PyJHora examples
+
diff --git a/mcp_server.py b/mcp_server.py
index 6467dd44..31c16d46 100644
--- a/mcp_server.py
+++ b/mcp_server.py
@@ -569,6 +569,93 @@ def _derive_shadbala_component_audit(planets: Any) -> Dict[str, Any]:
     return audit
 
 
+def _derive_pav_finance_support(ashtakavarga: Any) -> Dict[str, Any]:
+    base = {
+        "level": "none",
+        "source": "ashtakavarga_pav_bridge_v1",
+        "signals": [],
+        "top_planets": [],
+    }
+    pav_summary = _safe_get(ashtakavarga, "pav", "pav_summary")
+    if not isinstance(pav_summary, dict):
+        return base
+
+    top_planets: List[str] = []
+    for planet, source_scores in pav_summary.items():
+        if not isinstance(source_scores, dict):
+            continue
+        high_sources = [
+            source for source, bindus in source_scores.items()
+            if isinstance(bindus, (int, float)) and bindus >= 5
+        ]
+        if high_sources:
+            top_planets.append(str(planet))
+
+    if top_planets:
+        base["level"] = "supportive"
+        base["signals"] = ["pav_finance_support"]
+        base["top_planets"] = sorted(top_planets)
+    return base
+
+
+def _derive_sodhita_finance_support(ashtakavarga: Any, asc_sign: Optional[str]) -> Dict[str, Any]:
+    base = {
+        "level": "none",
+        "source": "ashtakavarga_sodhita_bridge_v1",
+        "signals": [],
+        "target_houses": [2, 11],
+        "raw_scores": {},
+    }
+    assessment = _safe_get(ashtakavarga, "sodhita", "sodhita_sav", "assessment")
+    asc_idx = _SIGN_TO_INDEX.get(asc_sign) if asc_sign else None
+    if not isinstance(assessment, list) or asc_idx is None:
+        return base
+
+    sign_to_score: Dict[str, float] = {}
+    for row in assessment:
+        if not isinstance(row, dict):
+            continue
+        sign = row.get("sign")
+        score = row.get("score")
+        if sign in _SIGN_TO_INDEX and isinstance(score, (int, float)):
+            sign_to_score[str(sign)] = float(score)
+
+    raw_scores: Dict[str, Any] = {}
+    numeric_scores: Dict[int, float] = {}
+    for house in (2, 11):
+        sign = _SIGNS[(asc_idx + house - 1) % 12]
+        if sign in sign_to_score:
+            numeric_scores[house] = sign_to_score[sign]
+            value = sign_to_score[sign]
+            raw_scores[str(house)] = int(value) if value.is_integer() else value
+
+    base["raw_scores"] = raw_scores
+    if len(numeric_scores) == 2 and max(numeric_scores.values()) <= 19:
+        base["level"] = "obstructive"
+        base["signals"] = ["sodhita_wealth_friction"]
+    return base
+
+
+def _derive_kakshya_finance_support(kakshya: Any) -> Dict[str, Any]:
+    base = {
+        "level": "none",
+        "source": "kakshya_finance_bridge_v1",
+        "signals": [],
+        "average_strength": None,
+    }
+    avg = _safe_get(kakshya, "summary", "average_strength")
+    if not isinstance(avg, (int, float)):
+        return base
+    base["average_strength"] = float(avg)
+    if avg >= 6.5:
+        base["level"] = "supportive"
+        base["signals"] = ["kakshya_finance_support"]
+    elif avg <= 4.5:
+        base["level"] = "obstructive"
+        base["signals"] = ["kakshya_finance_friction"]
+    return base
+
+
 def _sign_to_index(sign: str) -> Optional[int]:
     try:
         return _SIGNS.index(sign)
@@ -939,6 +1026,17 @@ def _derive_event_judgement(route: str, present: Dict[str, Any], missing: List[s
         shadbala_component_audit = present.get("shadbala_component_audit") or {}
         if shadbala_component_audit.get("status") in {"blocked", "incomplete"}:
             secondary_context.append("shadbala_component_gap")
+        pav_finance_support = present.get("pav_finance_support") or {}
+        if pav_finance_support.get("level") == "supportive":
+            secondary_context.append("pav_finance_support")
+        sodhita_finance_support = present.get("sodhita_finance_support") or {}
+        if sodhita_finance_support.get("level") == "obstructive":
+            secondary_context.append("sodhita_wealth_friction")
+        kakshya_finance_support = present.get("kakshya_finance_support") or {}
+        if kakshya_finance_support.get("level") == "supportive":
+            secondary_context.append("kakshya_finance_support")
+        elif kakshya_finance_support.get("level") == "obstructive":
+            secondary_context.append("kakshya_finance_friction")
         if ashtakavarga_finance.get("level") == "supportive":
             secondary_context.append("ashtakavarga_wealth_support")
         elif ashtakavarga_finance.get("level") == "obstructive":
@@ -1122,14 +1220,21 @@ def _collect_strict_evidence(route: str, result: Dict[str, Any]) -> Dict[str, An
             "wealth_promise_strength": _derive_wealth_promise_strength(modules),
             "avayogi_risk": avayogi_risk,
         }
+        present["asc_sign"] = _safe_get(modules, "chart", "ascendant", "sign")
         present["shadbala_component_audit"] = _derive_shadbala_component_audit(present["shadbala"])
         present["ashtakavarga_finance_support"] = _derive_ashtakavarga_finance_support(
             present["ashtakavarga_house_scores"]
         )
+        present["pav_finance_support"] = _derive_pav_finance_support(_safe_get(modules, "ashtakavarga"))
+        present["sodhita_finance_support"] = _derive_sodhita_finance_support(
+            _safe_get(modules, "ashtakavarga"),
+            present["asc_sign"],
+        )
+        present["kakshya_finance_support"] = _derive_kakshya_finance_support(_safe_get(modules, "kakshya"))
         present["external_activation"] = _derive_external_activation_support(modules, "wealth")
         present["dignity_guardrail"] = _derive_dignity_guardrail(route, present)
         missing = [key for key, value in present.items() if key not in {
-            "chart", "external_activation", "dignity_guardrail", "gains_convergence", "career_convergence", "avayogi_risk", "ashtakavarga_finance_support", "shadbala_component_audit"
+            "chart", "external_activation", "dignity_guardrail", "gains_convergence", "career_convergence", "avayogi_risk", "ashtakavarga_finance_support", "shadbala_component_audit", "asc_sign", "pav_finance_support", "sodhita_finance_support", "kakshya_finance_support"
         } and value in (None, {}, [], "")]
         convergence_hits: List[Dict[str, Any]] = [
             item for item in [
diff --git a/tests/test_mcp_strict_workflow_finance.py b/tests/test_mcp_strict_workflow_finance.py
index b3e80aaa..42ae7ac7 100644
--- a/tests/test_mcp_strict_workflow_finance.py
+++ b/tests/test_mcp_strict_workflow_finance.py
@@ -314,6 +314,196 @@ def test_collect_strict_evidence_finance_accepts_complete_shadbala_components()
     assert "shadbala_component_gap" not in strict["event_judgement"]["secondary_context"]
 
 
+def test_collect_strict_evidence_finance_adds_pav_and_kakshya_support_as_secondary_context() -> None:
+    result = {
+        "modules": {
+            "chart": {"ascendant": {"sign": "Aries"}},
+            "varga_full": {"D2_Hora": {"summary": "ok"}, "D10_Dasamsa": {"summary": "ok"}},
+            "shadbala": {
+                "planets": {
+                    "Venus": {
+                        "components": {
+                            "sthana": 1.2,
+                            "dig": 0.8,
+                            "kala": 1.1,
+                            "chesta": 0.9,
+                            "naisargika": 0.7,
+                            "drik": 0.4,
+                        },
+                        "total_rupa": 5.1,
+                    }
+                }
+            },
+            "ashtakavarga": {
+                "house_scores": {"2": 33, "11": 35},
+                "pav": {
+                    "pav_summary": {
+                        "Venus": {"Jupiter": 5, "Venus": 6, "Lagna": 5},
+                        "Saturn": {"Saturn": 2},
+                    }
+                },
+            },
+            "kakshya": {
+                "summary": {"average_strength": 6.8},
+                "planets": {
+                    "Venus": {"kakshya_strength": 7.4},
+                    "Jupiter": {"kakshya_strength": 6.9},
+                },
+            },
+            "dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Mercury"}},
+            "narayana_dasha": {"current_dasha": {"sign": "Taurus", "lord": "Venus"}},
+            "dasa_convergence": {
+                "domain_activations": {
+                    "wealth_family": {"convergence_level": "L1", "probability": "+15-20%"},
+                    "gains_wishes": {"convergence_level": "L1", "probability": "+15-20%"},
+                    "career_status": {"convergence_level": "L1", "probability": "+15-20%"},
+                }
+            },
+            "yogas_doshas": {
+                "dhana_yogas": {
+                    "yogas": [{"type": "Dhana Yoga", "strength": "strong"}],
+                    "summary": "Dhana Yoga检测：共1个格局",
+                }
+            },
+        }
+    }
+
+    strict = _collect_strict_evidence("finance", result)
+
+    assert strict["present_evidence"]["pav_finance_support"] == {
+        "level": "supportive",
+        "source": "ashtakavarga_pav_bridge_v1",
+        "signals": ["pav_finance_support"],
+        "top_planets": ["Venus"],
+    }
+    assert strict["present_evidence"]["kakshya_finance_support"] == {
+        "level": "supportive",
+        "source": "kakshya_finance_bridge_v1",
+        "signals": ["kakshya_finance_support"],
+        "average_strength": 6.8,
+    }
+    assert "pav_finance_support" in strict["event_judgement"]["secondary_context"]
+    assert "kakshya_finance_support" in strict["event_judgement"]["secondary_context"]
+
+
+def test_collect_strict_evidence_finance_flags_sodhita_wealth_friction() -> None:
+    result = {
+        "modules": {
+            "chart": {"ascendant": {"sign": "Aries"}},
+            "varga_full": {"D2_Hora": {"summary": "ok"}, "D10_Dasamsa": {"summary": "ok"}},
+            "shadbala": {
+                "planets": {
+                    "Venus": {
+                        "components": {
+                            "sthana": 1.2,
+                            "dig": 0.8,
+                            "kala": 1.1,
+                            "chesta": 0.9,
+                            "naisargika": 0.7,
+                            "drik": 0.4,
+                        },
+                        "total_rupa": 5.1,
+                    }
+                }
+            },
+            "ashtakavarga": {
+                "house_scores": {"2": 33, "11": 35},
+                "sodhita": {
+                    "sodhita_sav": {
+                        "assessment": [
+                            {"sign": "Taurus", "score": 18, "level": "挑战"},
+                            {"sign": "Aquarius", "score": 17, "level": "挑战"},
+                        ]
+                    }
+                },
+            },
+            "dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Mercury"}},
+            "narayana_dasha": {"current_dasha": {"sign": "Taurus", "lord": "Venus"}},
+            "dasa_convergence": {
+                "domain_activations": {
+                    "wealth_family": {"convergence_level": "L1", "probability": "+15-20%"},
+                    "gains_wishes": {"convergence_level": "L1", "probability": "+15-20%"},
+                    "career_status": {"convergence_level": "L1", "probability": "+15-20%"},
+                }
+            },
+            "yogas_doshas": {
+                "dhana_yogas": {
+                    "yogas": [{"type": "Dhana Yoga", "strength": "strong"}],
+                    "summary": "Dhana Yoga检测：共1个格局",
+                }
+            },
+        }
+    }
+
+    strict = _collect_strict_evidence("finance", result)
+
+    assert strict["present_evidence"]["sodhita_finance_support"] == {
+        "level": "obstructive",
+        "source": "ashtakavarga_sodhita_bridge_v1",
+        "signals": ["sodhita_wealth_friction"],
+        "target_houses": [2, 11],
+        "raw_scores": {"2": 18, "11": 17},
+    }
+    assert "sodhita_wealth_friction" in strict["event_judgement"]["secondary_context"]
+
+
+def test_collect_strict_evidence_finance_flags_kakshya_friction_as_secondary_only() -> None:
+    result = {
+        "modules": {
+            "chart": {"ascendant": {"sign": "Aries"}},
+            "varga_full": {"D2_Hora": {"summary": "ok"}, "D10_Dasamsa": {"summary": "ok"}},
+            "shadbala": {
+                "planets": {
+                    "Venus": {
+                        "components": {
+                            "sthana": 1.2,
+                            "dig": 0.8,
+                            "kala": 1.1,
+                            "chesta": 0.9,
+                            "naisargika": 0.7,
+                            "drik": 0.4,
+                        },
+                        "total_rupa": 5.1,
+                    }
+                }
+            },
+            "ashtakavarga": {"house_scores": {"2": 33, "11": 35}},
+            "kakshya": {
+                "summary": {"average_strength": 4.1},
+                "planets": {
+                    "Venus": {"kakshya_strength": 4.0},
+                },
+            },
+            "dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Mercury"}},
+            "narayana_dasha": {"current_dasha": {"sign": "Taurus", "lord": "Venus"}},
+            "dasa_convergence": {
+                "domain_activations": {
+                    "wealth_family": {"convergence_level": "L1", "probability": "+15-20%"},
+                    "gains_wishes": {"convergence_level": "L1", "probability": "+15-20%"},
+                    "career_status": {"convergence_level": "L1", "probability": "+15-20%"},
+                }
+            },
+            "yogas_doshas": {
+                "dhana_yogas": {
+                    "yogas": [{"type": "Dhana Yoga", "strength": "strong"}],
+                    "summary": "Dhana Yoga检测：共1个格局",
+                }
+            },
+        }
+    }
+
+    strict = _collect_strict_evidence("finance", result)
+
+    assert strict["present_evidence"]["kakshya_finance_support"] == {
+        "level": "obstructive",
+        "source": "kakshya_finance_bridge_v1",
+        "signals": ["kakshya_finance_friction"],
+        "average_strength": 4.1,
+    }
+    assert strict["event_judgement"]["dominant_label"] == "public_wealth_status"
+    assert "kakshya_finance_friction" in strict["event_judgement"]["secondary_context"]
+
+
 def test_collect_strict_evidence_finance_flags_low_wealth_ashtakavarga_friction() -> None:
     result = {
         "modules": {