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AlphAI

by io.github.makeev
OverviewDiscussionsAdmin

Ticker news feed

alphai_ticker_news
Read-onlyIdempotent

News for one ticker, including SEC Form 4 trades by default. Use include_insider=false to omit those trades. Published mode serves older history; ingested mode polls new arrivals. collapse_stories=true selects story roots, not later member updates. Delisted symbols retain history with delisted/renamed_to metadata; unknown_ticker means unrecognized. Rename aliases and issuer share classes are included. Coins use -USD; ticker_note flags stock/ETF collisions. Use detail='compact' for headlines, sources, times, tickers, scores and story/search metadata without summary, analysis or SEC detail blocks. Expand uids with alphai_article. detail='full' is default; selection, order, cursors and page metadata are identical. In ingested mode, prime may be partial/empty and starts at the feed head. Resume until empty success; short pages can continue. Errors are JSON: delta_scan_incomplete means use extra.next_cursor with unchanged filters/sort; delta_candidates_changed means retry the original request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNopublished (default): newest first. ingested: delta polling — only rows added since your cursor, ascending; next_cursor is always returned (empty items = caught up, keep the cursor and poll later). A cursor only works with the sort mode that issued it.
limitNoAlias for page_size.
cursorNoOpaque cursor from a prior next_cursor.
detailNofull (default): existing item format. compact: headlines, sources, times, tickers, scores and story/search metadata without summary or analysis. Prefer compact for polling; alphai_article(uid) expands an item.full
tickerYesTicker symbol, e.g. 'AAPL'.
page_sizeNoItems/page; capped at 20 Free/Basic, 50 Pro.
min_relevanceNoMinimum AI relevance score, 1-10.
include_insiderNoInclude SEC Form 4 insider news; default true.
collapse_storiesNoCollapse syndicated reprints to one representative per story and populate story_id/sources_count/sources (default false).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
itemsNo
delistedNo
renamed_toNo
next_cursorNo
ticker_noteNo
unknown_tickerNo
query_interpretationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • addedInput schema / properties / detail
      Added value: +{
+  "default": "full",
+  "description": "full (default): existing item format. compact: headlines, sources, times, tickers, scores and story/search metadata without summary or analysis. Prefer compact for polling; alphai_article(uid) expands an item.",
+  "enum": [
+    "full",
+    "compact"
+  ],
+  "type": "string"
+}
    • addedOutput schema / properties / items / items / anyOf
      Added value: +[
+  {
+    "properties": {
+      "analysis": {
+        "anyOf": [
+          {
+            "properties": {
+              "actionability": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "alternative_perspectives": {
+                "anyOf": [
+                  {
+                    "properties": {
+                      "contrarian_view": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      },
+                      "overlooked_factors": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      }
+                    },
+                    "type": "object"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "background_context": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "indirect_market_effects": {
+                "anyOf": [
+                  {
+                    "properties": {
+                      "global_market_relevance": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      },
+                      "regional_market_impact": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      },
+                      "sector_implications": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null
+                      }
+                    },
+                    "type": "object"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "information_novelty": {
+                "anyOf": [
+                  {
+                    "type": "integer"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "key_entities": {
+                "items": {
+                  "properties": {
+                    "description": {
+                      "default": "",
+                      "type": "string"
+                    },
+                    "entity_type": {
+                      "default": "",
+                      "type": "string"
+                    },
+                    "name": {
+                      "default": "",
+                      "type": "string"
+                    }
+                  },
+                  "type": "object"
+                },
+                "type": "array"
+              },
+              "market_relevance_summary": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "market_sentiment_alignment": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "ticker_analysis": {
+                "items": {
+                  "properties": {
+                    "confidence": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "price_impact_prediction": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "reasoning": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "relevance_context": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "sentiment": {
+                      "anyOf": [
+                        {
+                          "type": "string"
+                        },
+                        {
+                          "type": "null"
+                        }
+                      ],
+                      "default": null
+                    },
+                    "ticker": {
+                      "type": "string"
+                    }
+                  },
+                  "required": [
+                    "ticker"
+                  ],
+                  "type": "object"
+                },
+                "type": "array"
+              },
+              "timing_relevance": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "banner_image": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "category": {
+        "type": "string"
+      },
+      "created_at": {
+        "type": "string"
+      },
+      "earnings": {
+        "anyOf": [
+          {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "filing": {
+        "anyOf": [
+          {
+            "description": "Structured SEC 8-K filing block (``source_type == \"sec_form8k\"`` items on\nthe news tools).\n\nA read-only projection of the 8-K sidecar\n(``apps.data.models.EightKEventModel``) — same fields and semantics as the\nREST ``/api/news/`` block (openapi.yaml: ``EightKFiling``): ``items`` is\nevery item code the filing carries (the ``item`` filter matches any of\nthem; empty for a header-only filing), ``primary_item`` the one that drove\nthe category, ``accession_number`` the id to cite, ``filed_at`` EDGAR's\nacceptance time, ``event_date`` the filing's own date of report and\n``exhibit_url`` the press-release exhibit the summary was built from.\nDates are ISO strings like the insider block; empty sidecar strings are\n``null``, never ``\"\"``.",
+            "properties": {
+              "accession_number": {
+                "type": "string"
+              },
+              "event_date": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "exhibit_url": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "filed_at": {
+                "type": "string"
+              },
+              "items": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "primary_item": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "items",
+              "accession_number",
+              "filed_at"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "insider": {
+        "anyOf": [
+          {
+            "description": "Structured SEC Form 4 event block (``alphai_insider_news`` items only).\n\nAggregate of the news row's whole transaction group — same semantics as the\nREST ``/api/news/insider/`` block (openapi.yaml: ``InsiderEvent``): shares and\nvalue are GROUP sums (a 10b5-1 ladder is one event), ``avg_price_usd`` is\nvalue-weighted over priced tranches, ``is_10b5_1`` is the group OR, the\nlast fill dates the event. ``side`` is the signal label: buy (P) / sell (S)\n/ other (everything else, incl. D — sale to issuer, a buyback/redemption,\nnot an open-market disposition); the raw ``transaction_code`` rides along.\nMoney/share fields are decimal STRINGS (\"25000\", \"187.32\") — flat, precise,\nschema-simple; null when the filing prices no tranche.\n\n``filed_at`` is when EDGAR accepted the filing and ``late_filing`` marks the\nones that missed the SEC's two-business-day deadline; the rule lives in\n``_is_late_filing`` in ``repository.py`` (ported from the backend's\n``apps.insider.services.filing_lateness``). Field reference for both\nsurfaces: ``backend/openapi.yaml`` (``InsiderEvent``).",
+            "properties": {
+              "avg_price_usd": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "filed_at": {
+                "type": "string"
+              },
+              "insider_name": {
+                "type": "string"
+              },
+              "insider_title": {
+                "type": "string"
+              },
+              "is_10b5_1": {
+                "type": "boolean"
+              },
+              "is_director": {
+                "type": "boolean"
+              },
+              "is_officer": {
+                "type": "boolean"
+              },
+              "is_ten_percent_owner": {
+                "type": "boolean"
+              },
+              "late_filing": {
+                "type": "boolean"
+              },
+              "shares": {
+                "type": "string"
+              },
+              "side": {
+                "type": "string"
+              },
+              "total_value_usd": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "transaction_code": {
+                "type": "string"
+              },
+              "transaction_date": {
+                "type": "string"
+              }
+            },
+            "required": [
+              "side",
+              "transaction_code",
+              "shares",
+              "is_10b5_1",
+              "insider_name",
+              "insider_title",
+              "is_officer",
+              "is_director",
+              "is_ten_percent_owner",
+              "transaction_date",
+              "filed_at",
+              "late_filing"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "ownership_form": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "read_time_minutes": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "relevance_score": {
+        "type": "integer"
+      },
+      "search_match": {
+        "anyOf": [
+          {
+            "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
+            "properties": {
+              "context": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "score": {
+                "type": "number"
+              },
+              "terms_matched": {
+                "anyOf": [
+                  {
+                    "type": "integer"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "score"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "source": {
+        "type": "string"
+      },
+      "source_domain": {
+        "type": "string"
+      },
+      "source_type": {
+        "default": "",
+        "type": "string"
+      },
+      "sources": {
+        "anyOf": [
+          {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "sources_count": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "story_id": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "summary": {
+        "type": "string"
+      },
+      "tickers": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "time_published": {
+        "type": "string"
+      },
+      "title": {
+        "type": "string"
+      },
+      "uid": {
+        "type": "string"
+      },
+      "url": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "uid",
+      "title",
+      "url",
+      "source",
+      "source_domain",
+      "summary",
+      "category",
+      "relevance_score",
+      "time_published",
+      "created_at"
+    ],
+    "type": "object"
+  },
+  {
+    "description": "Opt-in feed projection. Expand ``uid`` with ``alphai_article``.\n\nOnly the two scalar analysis signals survive, at the top level. Summary,\nanalysis prose, images and SEC detail blocks are absent, not truncated.\nSearch evidence and Form 4 ownership remain so triage keeps its meaning.",
+    "properties": {
+      "actionability": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "category": {
+        "type": "string"
+      },
+      "created_at": {
+        "type": "string"
+      },
+      "information_novelty": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "ownership_form": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "relevance_score": {
+        "type": "integer"
+      },
+      "search_match": {
+        "anyOf": [
+          {
+            "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
+            "properties": {
+              "context": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "score": {
+                "type": "number"
+              },
+              "terms_matched": {
+                "anyOf": [
+                  {
+                    "type": "integer"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "score"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "source": {
+        "type": "string"
+      },
+      "source_domain": {
+        "type": "string"
+      },
+      "source_type": {
+        "type": "string"
+      },
+      "sources": {
+        "anyOf": [
+          {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "sources_count": {
+        "anyOf": [
+          {
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "story_id": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "tickers": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "time_published": {
+        "type": "string"
+      },
+      "title": {
+        "type": "string"
+      },
+      "uid": {
+        "type": "string"
+      },
+      "url": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "uid",
+      "title",
+      "url",
+      "source",
+      "source_domain",
+      "source_type",
+      "time_published",
+      "created_at",
+      "tickers",
+      "category",
+      "relevance_score",
+      "actionability",
+      "information_novelty",
+      "story_id",
+      "sources_count",
+      "sources",
+      "ownership_form",
+      "search_match"
+    ],
+    "type": "object"
+  }
+]
    • removedOutput schema / properties / items / items / properties
      Removed value: -{
-  "analysis": {
-    "anyOf": [
-      {
-        "properties": {
-          "actionability": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "alternative_perspectives": {
-            "anyOf": [
-              {
-                "properties": {
-                  "contrarian_view": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  },
-                  "overlooked_factors": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  }
-                },
-                "type": "object"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "background_context": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "indirect_market_effects": {
-            "anyOf": [
-              {
-                "properties": {
-                  "global_market_relevance": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  },
-                  "regional_market_impact": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  },
-                  "sector_implications": {
-                    "anyOf": [
-                      {
-                        "type": "string"
-                      },
-                      {
-                        "type": "null"
-                      }
-                    ],
-                    "default": null
-                  }
-                },
-                "type": "object"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "information_novelty": {
-            "anyOf": [
-              {
-                "type": "integer"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "key_entities": {
-            "items": {
-              "properties": {
-                "description": {
-                  "default": "",
-                  "type": "string"
-                },
-                "entity_type": {
-                  "default": "",
-                  "type": "string"
-                },
-                "name": {
-                  "default": "",
-                  "type": "string"
-                }
-              },
-              "type": "object"
-            },
-            "type": "array"
-          },
-          "market_relevance_summary": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "market_sentiment_alignment": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "ticker_analysis": {
-            "items": {
-              "properties": {
-                "confidence": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "price_impact_prediction": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "reasoning": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "relevance_context": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "sentiment": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                },
-                "ticker": {
-                  "type": "string"
-                }
-              },
-              "required": [
-                "ticker"
-              ],
-              "type": "object"
-            },
-            "type": "array"
-          },
-          "timing_relevance": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          }
-        },
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "banner_image": {
-    "anyOf": [
-      {
-        "type": "string"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "category": {
-    "type": "string"
-  },
-  "created_at": {
-    "type": "string"
-  },
-  "earnings": {
-    "anyOf": [
-      {
-        "additionalProperties": true,
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "filing": {
-    "anyOf": [
-      {
-        "description": "Structured SEC 8-K filing block (``source_type == \"sec_form8k\"`` items on\nthe news tools).\n\nA read-only projection of the 8-K sidecar\n(``apps.data.models.EightKEventModel``) — same fields and semantics as the\nREST ``/api/news/`` block (openapi.yaml: ``EightKFiling``): ``items`` is\nevery item code the filing carries (the ``item`` filter matches any of\nthem; empty for a header-only filing), ``primary_item`` the one that drove\nthe category, ``accession_number`` the id to cite, ``filed_at`` EDGAR's\nacceptance time, ``event_date`` the filing's own date of report and\n``exhibit_url`` the press-release exhibit the summary was built from.\nDates are ISO strings like the insider block; empty sidecar strings are\n``null``, never ``\"\"``.",
-        "properties": {
-          "accession_number": {
-            "type": "string"
-          },
-          "event_date": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "exhibit_url": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "filed_at": {
-            "type": "string"
-          },
-          "items": {
-            "items": {
-              "type": "string"
-            },
-            "type": "array"
-          },
-          "primary_item": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          }
-        },
-        "required": [
-          "items",
-          "accession_number",
-          "filed_at"
-        ],
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "insider": {
-    "anyOf": [
-      {
-        "description": "Structured SEC Form 4 event block (``alphai_insider_news`` items only).\n\nAggregate of the news row's whole transaction group — same semantics as the\nREST ``/api/news/insider/`` block (openapi.yaml: ``InsiderEvent``): shares and\nvalue are GROUP sums (a 10b5-1 ladder is one event), ``avg_price_usd`` is\nvalue-weighted over priced tranches, ``is_10b5_1`` is the group OR, the\nlast fill dates the event. ``side`` is the signal label: buy (P) / sell (S)\n/ other (everything else, incl. D — sale to issuer, a buyback/redemption,\nnot an open-market disposition); the raw ``transaction_code`` rides along.\nMoney/share fields are decimal STRINGS (\"25000\", \"187.32\") — flat, precise,\nschema-simple; null when the filing prices no tranche.\n\n``filed_at`` is when EDGAR accepted the filing and ``late_filing`` marks the\nones that missed the SEC's two-business-day deadline; the rule lives in\n``_is_late_filing`` in ``repository.py`` (ported from the backend's\n``apps.insider.services.filing_lateness``). Field reference for both\nsurfaces: ``backend/openapi.yaml`` (``InsiderEvent``).",
-        "properties": {
-          "avg_price_usd": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "filed_at": {
-            "type": "string"
-          },
-          "insider_name": {
-            "type": "string"
-          },
-          "insider_title": {
-            "type": "string"
-          },
-          "is_10b5_1": {
-            "type": "boolean"
-          },
-          "is_director": {
-            "type": "boolean"
-          },
-          "is_officer": {
-            "type": "boolean"
-          },
-          "is_ten_percent_owner": {
-            "type": "boolean"
-          },
-          "late_filing": {
-            "type": "boolean"
-          },
-          "shares": {
-            "type": "string"
-          },
-          "side": {
-            "type": "string"
-          },
-          "total_value_usd": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "transaction_code": {
-            "type": "string"
-          },
-          "transaction_date": {
-            "type": "string"
-          }
-        },
-        "required": [
-          "side",
-          "transaction_code",
-          "shares",
-          "is_10b5_1",
-          "insider_name",
-          "insider_title",
-          "is_officer",
-          "is_director",
-          "is_ten_percent_owner",
-          "transaction_date",
-          "filed_at",
-          "late_filing"
-        ],
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "ownership_form": {
-    "anyOf": [
-      {
-        "type": "string"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "read_time_minutes": {
-    "anyOf": [
-      {
-        "type": "integer"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "relevance_score": {
-    "type": "integer"
-  },
-  "search_match": {
-    "anyOf": [
-      {
-        "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
-        "properties": {
-          "context": {
-            "anyOf": [
-              {
-                "type": "string"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          },
-          "score": {
-            "type": "number"
-          },
-          "terms_matched": {
-            "anyOf": [
-              {
-                "type": "integer"
-              },
-              {
-                "type": "null"
-              }
-            ],
-            "default": null
-          }
-        },
-        "required": [
-          "score"
-        ],
-        "type": "object"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "source": {
-    "type": "string"
-  },
-  "source_domain": {
-    "type": "string"
-  },
-  "source_type": {
-    "default": "",
-    "type": "string"
-  },
-  "sources": {
-    "anyOf": [
-      {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "sources_count": {
-    "anyOf": [
-      {
-        "type": "integer"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "story_id": {
-    "anyOf": [
-      {
-        "type": "string"
-      },
-      {
-        "type": "null"
-      }
-    ],
-    "default": null
-  },
-  "summary": {
-    "type": "string"
-  },
-  "tickers": {
-    "items": {
-      "type": "string"
-    },
-    "type": "array"
-  },
-  "time_published": {
-    "type": "string"
-  },
-  "title": {
-    "type": "string"
-  },
-  "uid": {
-    "type": "string"
-  },
-  "url": {
-    "type": "string"
-  }
-}
    • removedOutput schema / properties / items / items / required
      Removed value: -[
-  "uid",
-  "title",
-  "url",
-  "source",
-  "source_domain",
-  "summary",
-  "category",
-  "relevance_score",
-  "time_published",
-  "created_at"
-]
    • removedOutput schema / properties / items / items / type
      Removed value: -"object"
  2. Changed3 schema fields changed
    • changedInput schema / properties / cursor / anyOf
      Previous value: -[
-  {
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "maxLength": 1024,
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
    • addedInput schema / properties / ticker / maxLength
      Added value: +16
    • addedInput schema / properties / ticker / pattern
      Added value: +"^[A-Za-z0-9.\\-]+$"
  3. Changed1 schema field changed
    • changedOutput schema / properties / query_interpretation / anyOf
      Previous value: -[
-  {
-    "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``resolved`` — at least one query word became a filter that is\napplied to the items; ``overridden`` — the query resolved, but explicit\n``tickers``/``category`` replaced every filter it produced; ``unresolved`` —\nno query word matched a ticker, company name or topic word, so the items\nare NOT matches for the query (``note`` says what they are instead).\n``ignored_terms`` lists the content words that matched nothing; stopwords\nare dropped silently. ``note`` is one or two plain sentences an agent can act\non, same role as ``ticker_note``.",
-    "properties": {
-      "category": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "category_term": {
-        "anyOf": [
-          {
-            "type": "string"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "ignored_terms": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "mode": {
-        "enum": [
-          "resolved",
-          "overridden",
-          "unresolved"
-        ],
-        "type": "string"
-      },
-      "note": {
-        "default": "",
-        "type": "string"
-      },
-      "search": {
-        "anyOf": [
-          {
-            "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so any rare term plus at least two of the\nterms; ``no_match``; ``no_terms``. ``sort`` is ``published`` when every\nterm is a very common word (newest matches, not best). ``terms`` are the\nnormalized (stemmed) lexemes the index holds. ``matched`` counts the\nvisible matches inside the bounded candidate set, never a global total.",
-            "properties": {
-              "engine": {
-                "default": "postgres",
-                "enum": [
-                  "postgres",
-                  "meilisearch"
-                ],
-                "type": "string"
-              },
-              "matched": {
-                "default": 0,
-                "type": "integer"
-              },
-              "mode": {
-                "enum": [
-                  "strict",
-                  "broadened",
-                  "no_match",
-                  "no_terms"
-                ],
-                "type": "string"
-              },
-              "optional_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "required_terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "sort": {
-                "enum": [
-                  "relevance",
-                  "published"
-                ],
-                "type": "string"
-              },
-              "terms": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              },
-              "window_from": {
-                "anyOf": [
-                  {
-                    "type": "string"
-                  },
-                  {
-                    "type": "null"
-                  }
-                ],
-                "default": null
-              }
-            },
-            "required": [
-              "mode",
-              "sort"
-            ],
-            "type": "object"
-          },
-          {
-            "type": "null"
-          }
-        ],
-        "default": null
-      },
-      "tickers": {
-        "items": {
-          "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
-          "properties": {
-            "name": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "default": null
-            },
-            "term": {
-              "type": "string"
-            },
-            "ticker": {
-              "type": "string"
-            }
-          },
-          "required": [
-            "ticker",
-            "term"
-          ],
-          "type": "object"
-        },
-        "type": "array"
-      }
-    },
-    "required": [
-      "mode"
-    ],
-    "type": "object"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``searched`` — the text search served the items\n(``NEWS_SEARCH_MODE=on``, the normal state since 2026-09-23): ``search``\nsays what selected them, ``tickers``/``category`` only say what the words\nwere ALSO read as (reference, never a filter) and ``ignored_terms`` is\nempty, because nothing was ignored — the whole text was searched. Before\nthis (review finding 1a/1b, 2026-09-23) the text path echoed the\nresolver's ``resolved`` + its ``ignored_terms`` next to a ``search`` block\nwhose ``terms`` were those very words, and a read category looked applied\nwhile nothing but the text filtered the items. The resolver modes describe\nthe fallback when the text search is switched off: ``resolved`` — at least\none query word became a filter that is applied to the items;\n``overridden`` — the query resolved, but explicit ``tickers``/``category``\nreplaced every filter it produced; ``unresolved`` — no query word matched a\nticker, company name or topic word, so the items are NOT matches for the\nquery (``note`` says what they are instead). ``ignored_terms`` then lists\nthe content words that matched nothing; stopwords are dropped silently.\n``note`` is one or two plain sentences an agent can act on, same role as\n``ticker_note``.",
+    "properties": {
+      "category": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "category_term": {
+        "anyOf": [
+          {
+            "type": "string"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "ignored_terms": {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "mode": {
+        "enum": [
+          "searched",
+          "resolved",
+          "overridden",
+          "unresolved"
+        ],
+        "type": "string"
+      },
+      "note": {
+        "default": "",
+        "type": "string"
+      },
+      "search": {
+        "anyOf": [
+          {
+            "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so the most common words were dropped first\nand every item carries at least two of the terms; ``no_match``;\n``no_terms``. ``sort`` is ``published`` when every term is a very common\nword (newest matches, not best). ``terms`` are the normalized words that\nwere searched. ``required_terms`` is filled only when the search reports\nwhich words every broadened row had to carry (the Postgres path does, the\nengine does not) — ``search_match.terms_matched`` on each item is the\ncount to trust. ``matched`` counts the visible matches inside the bounded\ncandidate set, never a global total. Which engine answered is NOT part of\nthe contract: it goes to the search log (``ranking_version``). The\n``engine`` field that shipped with 1.41.0 was read by an external review\nas an implementation leak, and it was one — a client has no action on\n\"meilisearch\" (issues/2026-09-23-news-search-review-triage.md).",
+            "properties": {
+              "matched": {
+                "default": 0,
+                "type": "integer"
+              },
+              "mode": {
+                "enum": [
+                  "strict",
+                  "broadened",
+                  "no_match",
+                  "no_terms"
+                ],
+                "type": "string"
+              },
+              "optional_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "required_terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "sort": {
+                "enum": [
+                  "relevance",
+                  "published"
+                ],
+                "type": "string"
+              },
+              "terms": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "window_from": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              }
+            },
+            "required": [
+              "mode",
+              "sort"
+            ],
+            "type": "object"
+          },
+          {
+            "type": "null"
+          }
+        ],
+        "default": null
+      },
+      "tickers": {
+        "items": {
+          "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
+          "properties": {
+            "name": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null
+            },
+            "term": {
+              "type": "string"
+            },
+            "ticker": {
+              "type": "string"
+            }
+          },
+          "required": [
+            "ticker",
+            "term"
+          ],
+          "type": "object"
+        },
+        "type": "array"
+      }
+    },
+    "required": [
+      "mode"
+    ],
+    "type": "object"
+  },
+  {
+    "type": "null"
+  }
+]
  4. Changed2 schema fields changed
    • addedOutput schema / properties / items / items / properties / search_match
      Added value: +{
+  "anyOf": [
+    {
+      "description": "Per-item evidence from the text path: ``score`` orders the page (cover\ndensity × recency; comparable within one response, not a probability),\n``terms_matched`` is set in broadened mode, ``context`` marks the matched\nwords in the summary with ``**``.",
+      "properties": {
+        "context": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "score": {
+          "type": "number"
+        },
+        "terms_matched": {
+          "anyOf": [
+            {
+              "type": "integer"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        }
+      },
+      "required": [
+        "score"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}
    • addedOutput schema / properties / query_interpretation
      Added value: +{
+  "anyOf": [
+    {
+      "description": "How ``alphai_news_search`` read a free-text ``query`` — the echo that makes\na resolver miss legible. Before it, a query read as the wrong company or\ndiscarded entirely came back indistinguishable from a hit\n(issues/2026-08-16-freetext-query-resolves-jane-street-to-janl.md).\n\n``mode``: ``resolved`` — at least one query word became a filter that is\napplied to the items; ``overridden`` — the query resolved, but explicit\n``tickers``/``category`` replaced every filter it produced; ``unresolved`` —\nno query word matched a ticker, company name or topic word, so the items\nare NOT matches for the query (``note`` says what they are instead).\n``ignored_terms`` lists the content words that matched nothing; stopwords\nare dropped silently. ``note`` is one or two plain sentences an agent can act\non, same role as ``ticker_note``.",
+      "properties": {
+        "category": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "category_term": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "ignored_terms": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "mode": {
+          "enum": [
+            "resolved",
+            "overridden",
+            "unresolved"
+          ],
+          "type": "string"
+        },
+        "note": {
+          "default": "",
+          "type": "string"
+        },
+        "search": {
+          "anyOf": [
+            {
+              "description": "How the text search read the query (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 2): ``strict`` = every term required; ``broadened`` = fewer strict\nmatches than the threshold, so any rare term plus at least two of the\nterms; ``no_match``; ``no_terms``. ``sort`` is ``published`` when every\nterm is a very common word (newest matches, not best). ``terms`` are the\nnormalized (stemmed) lexemes the index holds. ``matched`` counts the\nvisible matches inside the bounded candidate set, never a global total.",
+              "properties": {
+                "engine": {
+                  "default": "postgres",
+                  "enum": [
+                    "postgres",
+                    "meilisearch"
+                  ],
+                  "type": "string"
+                },
+                "matched": {
+                  "default": 0,
+                  "type": "integer"
+                },
+                "mode": {
+                  "enum": [
+                    "strict",
+                    "broadened",
+                    "no_match",
+                    "no_terms"
+                  ],
+                  "type": "string"
+                },
+                "optional_terms": {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "required_terms": {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "sort": {
+                  "enum": [
+                    "relevance",
+                    "published"
+                  ],
+                  "type": "string"
+                },
+                "terms": {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "window_from": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                }
+              },
+              "required": [
+                "mode",
+                "sort"
+              ],
+              "type": "object"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "tickers": {
+          "items": {
+            "description": "One ticker a free-text ``query`` resolved to (docs/HYBRID_NEWS_SEARCH_PLAN.md\nstep 1). ``name`` is the issuer's registered name, so an agent can see that\n\"PMI\" was read as Picard Medical rather than the ISM purchasing-managers\nindex; ``term`` is the query word that produced it (share-class siblings\ninherit the seed word's term).",
+            "properties": {
+              "name": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null
+              },
+              "term": {
+                "type": "string"
+              },
+              "ticker": {
+                "type": "string"
+              }
+            },
+            "required": [
+              "ticker",
+              "term"
+            ],
+            "type": "object"
+          },
+          "type": "array"
+        }
+      },
+      "required": [
+        "mode"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}
  5. Changed1 schema field changed
    • addedOutput schema / properties / items / items / properties / filing
      Added value: +{
+  "anyOf": [
+    {
+      "description": "Structured SEC 8-K filing block (``source_type == \"sec_form8k\"`` items on\nthe news tools).\n\nA read-only projection of the 8-K sidecar\n(``apps.data.models.EightKEventModel``) — same fields and semantics as the\nREST ``/api/news/`` block (openapi.yaml: ``EightKFiling``): ``items`` is\nevery item code the filing carries (the ``item`` filter matches any of\nthem; empty for a header-only filing), ``primary_item`` the one that drove\nthe category, ``accession_number`` the id to cite, ``filed_at`` EDGAR's\nacceptance time, ``event_date`` the filing's own date of report and\n``exhibit_url`` the press-release exhibit the summary was built from.\nDates are ISO strings like the insider block; empty sidecar strings are\n``null``, never ``\"\"``.",
+      "properties": {
+        "accession_number": {
+          "type": "string"
+        },
+        "event_date": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "exhibit_url": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "filed_at": {
+          "type": "string"
+        },
+        "items": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "primary_item": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        }
+      },
+      "required": [
+        "items",
+        "accession_number",
+        "filed_at"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}
  6. Changed11 schema fields changed
    • addedInput schema / properties / min_relevance
      Added value: +{
+  "default": 4,
+  "description": "Minimum AI relevance score, 1-10.",
+  "maximum": 10,
+  "minimum": 1,
+  "type": "integer"
+}
    • changedInput schema / properties / page_size / description
      Previous value: -"Items/page; capped at 10 Basic / 50 Pro."New value: +"Items/page; capped at 20 Free/Basic, 50 Pro."
    • addedInput schema / properties / sort
      Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "published",
+        "ingested"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "published (default): newest first. ingested: delta polling — only rows added since your cursor, ascending; next_cursor is always returned (empty items = caught up, keep the cursor and poll later). A cursor only works with the sort mode that issued it."
+}
    • addedOutput schema / properties / delisted
      Added value: +{
+  "default": false,
+  "type": "boolean"
+}
    • addedOutput schema / properties / items / items / properties / created_at
      Added value: +{
+  "type": "string"
+}
    • addedOutput schema / properties / items / items / properties / earnings
      Added value: +{
+  "anyOf": [
+    {
+      "additionalProperties": true,
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}
    • addedOutput schema / properties / items / items / properties / insider
      Added value: +{
+  "anyOf": [
+    {
+      "description": "Structured SEC Form 4 event block (``alphai_insider_news`` items only).\n\nAggregate of the news row's whole transaction group — same semantics as the\nREST ``/api/news/insider/`` block (openapi.yaml: ``InsiderEvent``): shares and\nvalue are GROUP sums (a 10b5-1 ladder is one event), ``avg_price_usd`` is\nvalue-weighted over priced tranches, ``is_10b5_1`` is the group OR, the\nlast fill dates the event. ``side`` is the signal label: buy (P) / sell (S)\n/ other (everything else, incl. D — sale to issuer, a buyback/redemption,\nnot an open-market disposition); the raw ``transaction_code`` rides along.\nMoney/share fields are decimal STRINGS (\"25000\", \"187.32\") — flat, precise,\nschema-simple; null when the filing prices no tranche.\n\n``filed_at`` is when EDGAR accepted the filing and ``late_filing`` marks the\nones that missed the SEC's two-business-day deadline; the rule lives in\n``_is_late_filing`` in ``repository.py`` (ported from the backend's\n``apps.insider.services.filing_lateness``). Field reference for both\nsurfaces: ``backend/openapi.yaml`` (``InsiderEvent``).",
+      "properties": {
+        "avg_price_usd": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "filed_at": {
+          "type": "string"
+        },
+        "insider_name": {
+          "type": "string"
+        },
+        "insider_title": {
+          "type": "string"
+        },
+        "is_10b5_1": {
+          "type": "boolean"
+        },
+        "is_director": {
+          "type": "boolean"
+        },
+        "is_officer": {
+          "type": "boolean"
+        },
+        "is_ten_percent_owner": {
+          "type": "boolean"
+        },
+        "late_filing": {
+          "type": "boolean"
+        },
+        "shares": {
+          "type": "string"
+        },
+        "side": {
+          "type": "string"
+        },
+        "total_value_usd": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "transaction_code": {
+          "type": "string"
+        },
+        "transaction_date": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "side",
+        "transaction_code",
+        "shares",
+        "is_10b5_1",
+        "insider_name",
+        "insider_title",
+        "is_officer",
+        "is_director",
+        "is_ten_percent_owner",
+        "transaction_date",
+        "filed_at",
+        "late_filing"
+      ],
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}
    • addedOutput schema / properties / items / items / properties / source_type
      Added value: +{
+  "default": "",
+  "type": "string"
+}
    • changedOutput schema / properties / items / items / required
      Previous value: -[
-  "uid",
-  "title",
-  "url",
-  "source",
-  "source_domain",
-  "summary",
-  "category",
-  "relevance_score",
-  "time_published"
-]New value: +[
+  "uid",
+  "title",
+  "url",
+  "source",
+  "source_domain",
+  "summary",
+  "category",
+  "relevance_score",
+  "time_published",
+  "created_at"
+]
    • addedOutput schema / properties / renamed_to
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}
    • addedOutput schema / properties / ticker_note
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}
  7. Changed2 schema fields changed
    • addedInput schema / properties / limit
      Added value: +{
+  "anyOf": [
+    {
+      "maximum": 50,
+      "minimum": 1,
+      "type": "integer"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "Alias for page_size."
+}
    • changedInput schema / properties / page_size / description
      Previous value: -"Items/page. 10 Basic / 50 Pro (tools.bulk)."New value: +"Items/page; capped at 10 Basic / 50 Pro."
  8. Changed1 schema field changed
    • changedInput schema / properties / include_insider / description
      Previous value: -"Include insider/13F ownership news; default true."New value: +"Include SEC Form 4 insider news; default true."
  9. First observed

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations establish read-only, idempotent, non-destructive behavior, and the description adds rich operational context beyond them: default SEC Form 4 inclusion, published/ingested mode semantics, collapse_stories behavior, delisted/unknown ticker handling, coin symbol format, compact detail behavior, ingested-mode partial priming, resume logic, and specific error responses.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and remains dense but generally purposeful across a complex tool. It is a long paragraph rather than structured bullets, and some parameter details overlap the schema, but most sentences carry operational value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity, 9 parameters, mode-specific behavior, error handling, and the presence of an output schema, the description is complete enough for correct invocation. It covers the major edge cases and operational flows an agent needs without needing to explain return value structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description still adds useful meaning beyond the schema: include_insider=false omits Form 4 trades, collapse_stories selects story roots rather than later member updates, detail='compact' returns headlines/sources/times without summaries/analysis, and sort modes imply different cursor behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: news for one ticker, including SEC Form 4 trades by default. It distinguishes this ticker-feed from broader news tools by naming the single-ticker scope and specific content types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear operational guidance: use include_insider=false to omit trades, published vs ingested modes for different history/polling needs, detail='compact' for lighter payloads, and alphai_article for expanding uids. It does not explicitly compare against sibling tools like alphai_news_search or alphai_insider_news, so it misses full when/when-not alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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