data-breach-detector

{'type': 'object', 'title': 'assess_threatArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text', 'description': 'the security text to classify â\x80\x94 an advisory, alert or forum post'}}}

{'type': 'object', 'title': 'breach_historyArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10, 'maximum': 100, 'minimum': 1, 'description': 'maximum incidents to return (default 10; raise it deliberately, large pages are heavy for an agent loop)'}, 'order': {'type': 'string', 'title': 'Order', 'default': 'newest', 'description': "'newest' (default), 'oldest' or 'largest' (by accounts exposed)"}, 'query': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Query', 'default': None, 'description': 'optional keyword over entity, title, summary, actor and data types; omit to browse the whole archive'}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'minimum': 0, 'description': 'how many matching incidents to skip before the page starts; count can run to five figures over the ~16k-post archive, so this is how the tail is reached'}, 'sector': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sector', 'default': None, 'description': "industry keyword filter, e.g. 'bank', 'health', 'gaming'"}, 'year_to': {'anyOf': [{'type': 'integer', 'minimum': 2000}, {'type': 'null'}], 'title': 'Year To', 'default': None, 'description': 'latest incident year to include, e.g. 2020'}, 'data_type': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Data Type', 'default': None, 'description': "require an exposed data type, e.g. 'passwords', 'credit card', 'health'"}, 'year_from': {'anyOf': [{'type': 'integer', 'minimum': 2000}, {'type': 'null'}], 'title': 'Year From', 'default': None, 'description': 'earliest incident year to include, e.g. 2013'}, 'min_accounts': {'type': 'integer', 'title': 'Min Accounts', 'default': 0, 'minimum': 0, 'description': 'only incidents exposing at least this many accounts'}}}

{'type': 'object', 'title': 'breach_newsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10, 'maximum': 100, 'minimum': 1, 'description': 'maximum disclosures to return (default 10; raise it deliberately, large pages are heavy for an agent loop)'}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'minimum': 0, 'description': 'how many matching disclosures to skip before the page starts; with limit this walks a result set larger than any single page (count reports the full total)'}, 'sector': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sector', 'default': None, 'description': "optional keyword filter over entity, title, summary, categories and exposed data types, e.g. 'bank', 'health', 'crypto'"}, 'source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Source', 'default': None, 'description': "optional source filter: 'HaveIBeenPwned', 'RansomLook', 'ransomwatch-archive' or 'SEC EDGAR 8-K 1.05'"}, 'since_days': {'type': 'integer', 'title': 'Since Days', 'default': 30, 'minimum': 1, 'description': 'look-back window in days over disclosure dates (default 30)'}}}

{'type': 'object', 'title': 'breach_statsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 40, 'maximum': 500, 'minimum': 1, 'description': 'how many buckets to return, largest first (default 40); buckets_total reports how many exist, and grouping by actor over the ~16k-post archive produces far more'}, 'sector': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sector', 'default': None, 'description': 'optional industry keyword filter applied before aggregating'}, 'group_by': {'type': 'string', 'title': 'Group By', 'default': 'year', 'description': "aggregation axis: 'year' (default), 'source', 'data_type', 'threat_level' or 'actor' (ransomware group)"}}}

{'type': 'object', 'title': 'breach_timelineArguments', 'required': ['entity'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 12, 'maximum': 100, 'minimum': 1, 'description': 'how many incidents the timeline list carries (default 12); the counts, span and judgment always cover every incident'}, 'entity': {'type': 'string', 'title': 'Entity', 'description': "domain, company or brand to build the chronology for, e.g. 'yahoo.com' or 'Adobe'"}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'minimum': 0, 'description': 'pages backwards through the chronology from the recent end: 0 gives the newest window, 12 gives the window before that'}}}

{'type': 'object', 'title': 'check_exposureArguments', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 8, 'maximum': 100, 'minimum': 1, 'description': 'maximum matching disclosures to return (default 8; the mention count and the aggregates always cover every match)'}, 'query': {'type': 'string', 'title': 'Query', 'description': "domain, company or brand to look up, e.g. 'example.com' or 'Acme'"}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'minimum': 0, 'description': 'how many matches to skip before the page starts; with limit this reaches matches beyond the first page'}, 'since_days': {'type': 'integer', 'title': 'Since Days', 'default': 100000, 'minimum': 1, 'description': 'optional look-back window in days; the default covers all history'}}}

{'type': 'object', 'title': 'feed_sourcesArguments', 'properties': {}}