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sportiq-mcp

io.github.Ninjabeam20/sportiq-mcp
데이터 및 분석 게임 공개 · 연결 가능 MCP 2025-11-25

이 MCP로 할 수 있는 일

Provides football, Formula 1, and cricket schedules, scores, statistics, simulations, fantasy recommendations, odds analysis, and strategy tools.

기능

도구

44 도구
cricket_build_dream11_team
Recommend an optimal fantasy XI + captain + vice-captain for one fixture. Args: match_id: CricAPI match identifier; resolves team_a/team_b/venue automatically. team_a: First team code/name (e.g. ``MI``). Required if match_id is absent. team_b: Second team code/name (e.g. ``CSK``). Required if match_id is absent. venue: Venue key/name (e.g. ``wankhede``). Required if match_id is absent. strategy: ``"balanced"`` only in Phase 2; future variants reserved. Returns: data.players: 11 picked players with name/role/credits/team/projected_points. data.captain: name of the chosen captain. data.vice_captain: name of the chosen VC. data.total_credits: sum of credits used (<= 100). data.total_projected_points: fantasy points including C x2 and VC x1.5 boosts. meta.estimated: true — projections are model output, not a fantasy oracle. Example: cricket_build_dream11_team(team_a="MI", team_b="CSK", venue="wankhede") cricket_build_dream11_team(match_id="abc123")
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_build_dream11_teamArguments', 'properties': {'venue': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Venue', 'default': None, 'description': 'Venue key/name (e.g. ``wankhede``). Required if match_id is absent.'}, 'team_a': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team A', 'default': None, 'description': 'First team code/name (e.g. ``MI``). Required if match_id is absent.'}, 'team_b': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team B', 'default': None, 'description': 'Second team code/name (e.g. ``CSK``). Required if match_id is absent.'}, 'match_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Match Id', 'default': None, 'description': 'CricAPI match identifier; resolves team_a/team_b/venue automatically.'}, 'strategy': {'type': 'string', 'title': 'Strategy', 'default': 'balanced', 'description': '``"balanced"`` only in Phase 2; future variants reserved.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_captain_recommendation
Return the top-3 captain candidates ranked by projected points. IPL venues only (pitch seed is IPL grounds). Test/international matches and unknown venues fail rather than inventing a ranking. Same-role players often tie: projections use default form 55 and default opposition 0.5, not per-player history. Args: match_id: CricAPI match identifier; resolves team_a/team_b/venue automatically. team_a: First team code/name. Required if match_id is absent. team_b: Second team code/name. Required if match_id is absent. venue: Venue key/name (IPL ground, e.g. ``wankhede``). Required if match_id is absent. Returns: data.candidates: list of 3 dicts with name/role/team/projected_points. meta.source: model:captain_score. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_captain_recommendationArguments', 'properties': {'venue': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Venue', 'default': None, 'description': 'Venue key/name (IPL ground, e.g. ``wankhede``). Required if match_id is absent.'}, 'team_a': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team A', 'default': None, 'description': 'First team code/name. Required if match_id is absent.'}, 'team_b': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team B', 'default': None, 'description': 'Second team code/name. Required if match_id is absent.'}, 'match_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Match Id', 'default': None, 'description': 'CricAPI match identifier; resolves team_a/team_b/venue automatically.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_differential_picks
Suggest low-ownership picks with positive projected upside. Ownership is *estimated* — proxied by credit weight (lower-credit players tend to have lower ownership), not real ownership data. Flagged ``estimated: true`` in the response. Args: match_id: CricAPI match identifier; resolves team_a/team_b/venue automatically. team_a: First team code/name. Required if match_id is absent. team_b: Second team code/name. Required if match_id is absent. venue: Venue key/name. Required if match_id is absent. ownership_threshold: percent ownership cap; affects estimated label. Returns: data.picks: list of {name, role, team, credits, projected_points, estimated_ownership_pct}. meta.source: model:captain_score (filtered). meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_differential_picksArguments', 'properties': {'venue': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Venue', 'default': None, 'description': 'Venue key/name. Required if match_id is absent.'}, 'team_a': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team A', 'default': None, 'description': 'First team code/name. Required if match_id is absent.'}, 'team_b': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team B', 'default': None, 'description': 'Second team code/name. Required if match_id is absent.'}, 'match_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Match Id', 'default': None, 'description': 'CricAPI match identifier; resolves team_a/team_b/venue automatically.'}, 'ownership_threshold': {'type': 'integer', 'title': 'Ownership Threshold', 'default': 20, 'description': 'percent ownership cap; affects estimated label.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_find_value_bets
Compare model probabilities against market-implied IPL odds. Requires THEODDS_KEY. NOTE: cricket has no calibrated team-strength model wired yet (unlike the football Elo/Poisson path), so this tool currently returns an EMPTY ``value_bets`` list — scoring an edge against a neutral 50/50 prior would flag every market underdog, which would be misleading. It still reports how many events were screened so callers know odds were available. For raw de-vigged prices use ``cricket_get_live_odds``. Real edge detection lands when a cricket win model is wired (see cricket_head_to_head). Args: team: Optional team name to filter events (case-insensitive substring). Omit to scan every IPL odds event. min_edge: Minimum edge (model_prob - devigged_market_prob), 0..1. Default 0.05. Currently informational only (no bets emitted). Returns: data.value_bets: always ``[]`` until a cricket model is wired. data.events_analysed: count of events screened (both teams present). data.model: ``"neutral_baseline"``. data.note: why no bets are emitted. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_find_value_betsArguments', 'properties': {'team': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team', 'default': None, 'description': 'Optional team name to filter events (case-insensitive substring). Omit to scan every IPL odds event.'}, 'min_edge': {'type': 'number', 'title': 'Min Edge', 'default': 0.05, 'description': 'Minimum edge (model_prob - devigged_market_prob), 0..1. Default 0.05. Currently informational only (no bets emitted).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_get_live_matches
Return all currently live cricket matches across all series. Returns: data.matches: list of live match objects (team names, score, status). meta.source: which adapter served the response. meta.is_stale: true if data is from stale cache.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_get_live_matchesArguments', 'properties': {}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_get_live_odds
Return live market head-to-head odds for upcoming/live IPL matches. IPL only (~March-May). An empty ``events`` list outside that window is a successful empty market, not an outage. Not international/Test/other T20 leagues. For World Cup 2026 football odds use ``football_get_odds``. Sourced from The Odds API (requires THEODDS_KEY). Without a key the call returns a clean ALL_SOURCES_FAILED envelope rather than crashing. Args: team: Optional team name to filter events (case-insensitive substring, matched against both sides). Omit to return every IPL event. The Odds API uses its own opaque event ids, so a CricAPI match_id cannot be resolved to an event yet — filtering is by team name. Returns: data.events: list of {event_id, home, away, commence_time, bookmakers: [{name, home, away}]} with decimal h2h prices per bookmaker. Empty when no IPL events are listed (typical off-season). meta.source: adapter that served the data (theodds / cache:stale).
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_get_live_oddsArguments', 'properties': {'team': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team', 'default': None, 'description': 'Optional team name to filter events (case-insensitive substring, matched against both sides). Omit to return every IPL event. The Odds API uses its own opaque event ids, so a CricAPI match_id cannot be resolved to an event yet â\x80\x94 filtering is by team name.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_get_pitch_report
Summarise pitch characteristics for a venue. Args: venue: Venue key (e.g. ``wankhede``), official name, or city. Returns: data: {batting_friendly 0..1, expected_first_inn, recommendation, venue, pitch_type}. meta.source: which adapter served the venue record.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_get_pitch_reportArguments', 'required': ['venue'], 'properties': {'venue': {'type': 'string', 'title': 'Venue', 'description': 'Venue key (e.g. ``wankhede``), official name, or city.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_get_points_table
Return the points table / standings for a cricket series. Args: series_id: The series identifier (e.g. IPL 2026 series ID from CricAPI). Returns: data: points table rows with team, P, W, L, NRR, Points. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_get_points_tableArguments', 'required': ['series_id'], 'properties': {'series_id': {'type': 'string', 'title': 'Series Id', 'description': 'The series identifier (e.g. IPL 2026 series ID from CricAPI).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_get_schedule
Return the upcoming match schedule, optionally filtered by series. Args: series_id: Optional. Filter to a specific series. If omitted, returns all upcoming fixtures across all active series. limit: Max matches to return, 1..200 (default 50). offset: Number of matches to skip for paging (default 0). Returns: data.matches: page of upcoming matches with teams, date, venue. data.pagination: {total, count, offset, limit, has_more, next_offset}. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_get_scheduleArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50, 'description': 'Max matches to return, 1..200 (default 50).'}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'description': 'Number of matches to skip for paging (default 0).'}, 'series_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Series Id', 'default': None, 'description': 'Optional. Filter to a specific series. If omitted, returns all upcoming fixtures across all active series.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_get_scorecard
Return the full scorecard for a specific match. Args: match_id: The match identifier (e.g. from cricket_get_live_matches). Returns: data: full scorecard with innings, partnerships, bowling figures. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_get_scorecardArguments', 'required': ['match_id'], 'properties': {'match_id': {'type': 'string', 'title': 'Match Id', 'description': 'The match identifier (e.g. from cricket_get_live_matches).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_get_squad
Return the squad roster for a cricket team, optionally for a specific series. Args: team: Team code or name (e.g. "MI", "CSK", "IND", "AUS"). series_id: Optional. Series ID to pull the tournament-specific squad. If omitted, falls back to static seed data. Returns: data.players: list of players with name, role, and credits. meta.source: adapter that served the data (cricapi / static_seed).
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_get_squadArguments', 'required': ['team'], 'properties': {'team': {'type': 'string', 'title': 'Team', 'description': 'Team code or name (e.g. "MI", "CSK", "IND", "AUS").'}, 'series_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Series Id', 'default': None, 'description': 'Optional. Series ID to pull the tournament-specific squad. If omitted, falls back to static seed data.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_head_to_head
Compare two cricket teams head-to-head using squad form and player stats. Args: team_a: First team code or name (e.g. "MI", "India"). team_b: Second team code or name (e.g. "CSK", "Australia"). Returns: data: {team_a, team_b, team_a_edge_count, team_b_edge_count, key_players_a, key_players_b, h2h_win_rate_a, h2h_win_rate_b, win_prob_a, win_prob_b}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_head_to_headArguments', 'required': ['team_a', 'team_b'], 'properties': {'team_a': {'type': 'string', 'title': 'Team A', 'description': 'First team code or name (e.g. "MI", "India").'}, 'team_b': {'type': 'string', 'title': 'Team B', 'description': 'Second team code or name (e.g. "CSK", "Australia").'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_player_form_index
Report a 0-100 form score for a player using the player_stats chain. Args: player_id: Upstream player identifier (CricAPI/Cricbuzz id). Returns: data.form_score: 0..100 indicator. data.trend: "rising" / "stable" / "falling". data.samples: how many recent innings were available. meta.source: which adapter served the underlying stats. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_player_form_indexArguments', 'required': ['player_id'], 'properties': {'player_id': {'type': 'string', 'title': 'Player Id', 'description': 'Upstream player identifier (CricAPI/Cricbuzz id).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cricket_player_matchup
Analyse the head-to-head matchup between two cricket players based on role and career stats. Args: player_a: Player ID or name for the first player. player_b: Player ID or name for the second player. Returns: data: {matchup_type, edge_holder, edge_reason, signals, role_a, role_b}. meta.estimated: true — heuristic model, not ball-by-ball H2H data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cricket_player_matchupArguments', 'required': ['player_a', 'player_b'], 'properties': {'player_a': {'type': 'string', 'title': 'Player A', 'description': 'Player ID or name for the first player.'}, 'player_b': {'type': 'string', 'title': 'Player B', 'description': 'Player ID or name for the second player.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
cross_sport_build_accumulator
Model the joint probability of multiple outcomes across football and cricket. Args: legs: Total legs across both sports (2-8). Default 3. min_edge: Minimum edge per leg. Default 0.05. Returns: data: same shape as football_build_accumulator, with sport field per leg. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'cross_sport_build_accumulatorArguments', 'properties': {'legs': {'type': 'integer', 'title': 'Legs', 'default': 3, 'description': 'Total legs across both sports (2-8). Default 3.'}, 'min_edge': {'type': 'number', 'title': 'Min Edge', 'default': 0.05, 'description': 'Minimum edge per leg. Default 0.05.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_get_drivers
Return driver list for a specific F1 session. Args: session_key: OpenF1 session identifier. Returns: data.drivers: list of driver objects with driver_number, full_name, team. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_get_driversArguments', 'required': ['session_key'], 'properties': {'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_get_lap_times
Return lap times for a driver in a specific F1 session. Args: session_key: OpenF1 session identifier. driver_number: Driver's race number (e.g. 1 for Verstappen). limit: Max laps to return, 1..200 (default 100 — covers most full races). offset: Number of laps to skip for paging (default 0). Returns: data.laps: page of lap objects with lap_number and lap_duration. OpenF1 does not put compound/tyre_life here — those live on the stints endpoint. data.pagination: {total, count, offset, limit, has_more, next_offset}. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_get_lap_timesArguments', 'required': ['session_key', 'driver_number'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 100, 'description': 'Max laps to return, 1..200 (default 100 â\x80\x94 covers most full races).'}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'description': 'Number of laps to skip for paging (default 0).'}, 'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}, 'driver_number': {'type': 'integer', 'title': 'Driver Number', 'description': "Driver's race number (e.g. 1 for Verstappen)."}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_get_race_results
Return the final classification for one F1 race, keyed by year and round. Args: year: Championship year (e.g. 2025). round: Round number within the season (1-based; e.g. 1 for the opener). Returns: data.results: Ergast/Jolpica RaceTable payload — finishing order, times, grid positions, points, and fastest laps for the race. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_get_race_resultsArguments', 'required': ['year', 'round'], 'properties': {'year': {'type': 'integer', 'title': 'Year', 'description': 'Championship year (e.g. 2025).'}, 'round': {'type': 'integer', 'title': 'Round', 'description': 'Round number within the season (1-based; e.g. 1 for the opener).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_get_sessions
Return F1 sessions for a given year, optionally filtered by country. Args: year: Championship year (e.g. 2025). country: Optional country name to filter (e.g. "Monaco"). Returns: data.sessions: list of session objects with session_key, session_type, date. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_get_sessionsArguments', 'required': ['year'], 'properties': {'year': {'type': 'integer', 'title': 'Year', 'description': 'Championship year (e.g. 2025).'}, 'country': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Country', 'default': None, 'description': 'Optional country name to filter (e.g. "Monaco").'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_get_standings
Return F1 driver and constructor championship standings for a year. Use this for "who is leading / who will win the F1 championship this year". There is no F1 title Monte Carlo — current points and position are the answer. This is not a cricket or football tool. Args: year: Championship year (e.g. 2026). Returns: data.driver_standings: driver championship positions and points. data.constructor_standings: constructor championship positions and points. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_get_standingsArguments', 'required': ['year'], 'properties': {'year': {'type': 'integer', 'title': 'Year', 'description': 'Championship year (e.g. 2026).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_get_weather
Return weather data for a specific F1 session. Args: session_key: OpenF1 session identifier. Returns: data.weather: list of weather snapshots with temperature, rainfall, wind. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_get_weatherArguments', 'required': ['session_key'], 'properties': {'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_head_to_head_pace
Compare lap-time pace distribution between two drivers in a session. Args: session_key: OpenF1 session identifier. driver_a: First driver's race number. driver_b: Second driver's race number. Returns: data: {driver_a_avg_s, driver_b_avg_s, delta_s, faster_driver}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_head_to_head_paceArguments', 'required': ['session_key', 'driver_a', 'driver_b'], 'properties': {'driver_a': {'type': 'integer', 'title': 'Driver A', 'description': "First driver's race number."}, 'driver_b': {'type': 'integer', 'title': 'Driver B', 'description': "Second driver's race number."}, 'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_predict_pit_strategy
Predict the optimal pit-stop strategy for a driver in an F1 race session. Args: session_key: OpenF1 session identifier for a recorded race. driver_number: Driver's race number (e.g. 1 for Verstappen). current_lap: Current lap to project from (default 1 = full race ahead). total_laps: Total race laps. If omitted, inferred from the highest observed lap_number in the fetched laps (correct for Monaco 78 / Spa 44), falling back to 57 when no laps are available. An explicit value always wins. Returns: data.stop_laps: recommended pit laps. data.compound_sequence: tyre compounds for each stint. data.expected_finish_position: currently always None (not modelled). data.confidence: 0.0-1.0 model confidence. meta.total_laps: race length used (explicit arg, else inferred from laps). meta.estimated: true. Example: f1_predict_pit_strategy(session_key=9158, driver_number=1) f1_predict_pit_strategy(session_key=9158, driver_number=16, current_lap=20, total_laps=78)
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_predict_pit_strategyArguments', 'required': ['session_key', 'driver_number'], 'properties': {'total_laps': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Total Laps', 'default': None, 'description': 'Total race laps. If omitted, inferred from the highest observed lap_number in the fetched laps (correct for Monaco 78 / Spa 44), falling back to 57 when no laps are available. An explicit value always wins.'}, 'current_lap': {'type': 'integer', 'title': 'Current Lap', 'default': 1, 'description': 'Current lap to project from (default 1 = full race ahead).'}, 'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier for a recorded race.'}, 'driver_number': {'type': 'integer', 'title': 'Driver Number', 'description': "Driver's race number (e.g. 1 for Verstappen)."}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_qualifying_analysis
Analyse a qualifying session: best lap per driver, gap to pole, projected grid. Args: session_key: OpenF1 session identifier for a Qualifying session. Returns: data.grid: [{position, driver_number, full_name, team_name, best_lap_gap_s}]. data.pole_time_s: pole lap duration in seconds. data.drivers_analysed: count of drivers with valid laps. meta.estimated: true — grid derived from session laps, not official timing.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_qualifying_analysisArguments', 'required': ['session_key'], 'properties': {'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier for a Qualifying session.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_race_pace_compare
Compare race-pace and tyre degradation between two F1 drivers in a session. Args: session_key: OpenF1 session identifier. driver_a: First driver's race number. driver_b: Second driver's race number. Returns: data: {by_compound, overall_faster, compounds_compared}. meta.estimated: true — degradation model fit, not official timing.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_race_pace_compareArguments', 'required': ['session_key', 'driver_a', 'driver_b'], 'properties': {'driver_a': {'type': 'integer', 'title': 'Driver A', 'description': "First driver's race number."}, 'driver_b': {'type': 'integer', 'title': 'Driver B', 'description': "Second driver's race number."}, 'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_tyre_degradation
Fit a tyre degradation model for a driver + compound in a session. Args: session_key: OpenF1 session identifier. driver_number: Driver's race number. compound: Tyre compound (SOFT, MEDIUM, HARD, INTER, WET). Returns: data: {intercept, slope, residual_std, sample_count}. meta.estimated: true — model output, not telemetry oracle.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_tyre_degradationArguments', 'required': ['session_key', 'driver_number', 'compound'], 'properties': {'compound': {'type': 'string', 'title': 'Compound', 'description': 'Tyre compound (SOFT, MEDIUM, HARD, INTER, WET).'}, 'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}, 'driver_number': {'type': 'integer', 'title': 'Driver Number', 'description': "Driver's race number."}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_undercut_window
Estimate whether an undercut is viable for the attacker against the target. Args: session_key: OpenF1 session identifier. attacker_number: Attacking driver's race number. target_number: Target driver's race number. current_lap: Current lap number in the race. Returns: data: {laps_to_clear, viable, marginal}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_undercut_windowArguments', 'required': ['session_key', 'attacker_number', 'target_number', 'current_lap'], 'properties': {'current_lap': {'type': 'integer', 'title': 'Current Lap', 'description': 'Current lap number in the race.'}, 'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}, 'target_number': {'type': 'integer', 'title': 'Target Number', 'description': "Target driver's race number."}, 'attacker_number': {'type': 'integer', 'title': 'Attacker Number', 'description': "Attacking driver's race number."}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
f1_weather_strategy_impact
Analyse weather data and recommend compound or pit-window adjustments. Args: session_key: OpenF1 session identifier. Returns: data: {has_rain, avg_track_temp_c, compound_recommendation, recommendation}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'f1_weather_strategy_impactArguments', 'required': ['session_key'], 'properties': {'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_build_accumulator
Model the joint probability of several match outcomes from the top model-vs-market gaps. Calls ``football_find_value_bets`` internally to fetch live odds, then selects the strongest legs and combines them under the joint-probability model. Args: legs: Number of legs (2-8). Default 3. min_edge: Minimum edge threshold per leg. Default 0.05. Returns: data: {legs, legs_used, combined_odds, combined_model_prob, combined_edge, risk_flag, independence_warning}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_build_accumulatorArguments', 'properties': {'legs': {'type': 'integer', 'title': 'Legs', 'default': 3, 'description': 'Number of legs (2-8). Default 3.'}, 'min_edge': {'type': 'number', 'title': 'Min Edge', 'default': 0.05, 'description': 'Minimum edge threshold per leg. Default 0.05.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_find_value_bets
Surface the largest gaps between the model's win probability and the market. De-vigs each market's 1X2 decimal odds (removes the margin so implied probabilities sum to 1) and compares them to this server's own match-outcome probabilities — the same Elo/Poisson path ``football_match_predictor`` uses. Where the model probability exceeds the de-vigged market probability by at least ``min_edge``, the outcome is flagged with its edge and the model's fair odds. Args: team: Optional team name to filter events (case-insensitive substring, matched against both sides). Omit to scan every WC 2026 odds event. min_edge: Minimum edge (model_prob - devigged_market_prob), 0..1. Default 0.05 (5 percentage points). Returns: data.value_bets: list of {event_id, home, away, outcome, model_prob, fair_odds, market_odds, edge, bookmaker}, sorted by edge descending. data.events_analysed: events with both teams rated (model-comparable). meta.estimated: true. meta.is_stale reflects the odds freshness.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_find_value_betsArguments', 'properties': {'team': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team', 'default': None, 'description': 'Optional team name to filter events (case-insensitive substring, matched against both sides). Omit to scan every WC 2026 odds event.'}, 'min_edge': {'type': 'number', 'title': 'Min Edge', 'default': 0.05, 'description': 'Minimum edge (model_prob - devigged_market_prob), 0..1. Default 0.05 (5 percentage points).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_form_trends
Return rolling form, goal record, and xG trend for a football team. Args: team: Team name (e.g. "Brazil", "Argentina"). Returns: data: {form_string, wins, draws, losses, goals_scored, goals_conceded, xg_for, xg_against, recent_trend, matches_analysed}. meta.estimated: true — derived from available fixture data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_form_trendsArguments', 'required': ['team'], 'properties': {'team': {'type': 'string', 'title': 'Team', 'description': 'Team name (e.g. "Brazil", "Argentina").'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_get_fixtures
Return World Cup 2026 fixtures (live providers, else the group schedule). Args: limit: Max fixtures to return, 1..200 (default 50). offset: Number of fixtures to skip for paging (default 0). Returns: data.fixtures: page of {home, away, date/group, status, home_goals, away_goals}. data.pagination: {total, count, offset, limit, has_more, next_offset}. meta.source: adapter that served the data (static_seed = group schedule only).
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_get_fixturesArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50, 'description': 'Max fixtures to return, 1..200 (default 50).'}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'description': 'Number of fixtures to skip for paging (default 0).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_get_groups
Return the FIFA World Cup 2026 group draw and advancement format. Returns: data.groups: {group_letter: [4 team codes]} for all 12 groups. data.format: 48-team / 12-group / top-2 + 8-best-thirds rule. data.teams: team-code -> {name, fifa_code} metadata. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_get_groupsArguments', 'properties': {}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_get_match_stats
Return a team's aggregate World Cup tournament statistics. Network-only enrichment: requires a configured API-Football (or football-data.org) key. There is no offline static fallback, so without a key the call returns a clean ALL_SOURCES_FAILED envelope. Args: team: API-Football numeric team id (not a country code). Returns: data.team_stats: {team, played, wins, goals_for, goals_against}. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_get_match_statsArguments', 'required': ['team'], 'properties': {'team': {'type': 'integer', 'title': 'Team', 'description': 'API-Football numeric team id (not a country code).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_get_odds
Return live market head-to-head odds for upcoming World Cup 2026 matches. Sourced from The Odds API (requires THEODDS_KEY). Without a key the call returns a clean ALL_SOURCES_FAILED envelope rather than crashing. Args: team: Optional team name to filter events (case-insensitive substring, matched against both sides). Omit to return every WC event. Returns: data.events: list of {event_id, home, away, commence_time, bookmakers: [{name, home, draw, away}]} with decimal 1X2 prices per bookmaker. meta.source: adapter that served the data (theodds / cache:stale).
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_get_oddsArguments', 'properties': {'team': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team', 'default': None, 'description': 'Optional team name to filter events (case-insensitive substring, matched against both sides). Omit to return every WC event.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_get_squad
Return a national team's World Cup squad. Args: team: Team code or name (e.g. "ARG"). Without an API-Football key, the static seed serves an empty-but-valid squad (rosters are a follow-up). Returns: data.squad: list of {name, number, position, age}. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_get_squadArguments', 'required': ['team'], 'properties': {'team': {'type': 'string', 'title': 'Team', 'description': 'Team code or name (e.g. "ARG"). Without an API-Football key, the static seed serves an empty-but-valid squad (rosters are a follow-up).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_get_standings
Return current World Cup 2026 group standings. Args: limit: Max standing rows to return, 1..200 (default 50). offset: Number of rows to skip for paging (default 0). Returns: data.standings: page of {rank, team, group, points, played, goals_diff}. data.pagination: {total, count, offset, limit, has_more, next_offset}. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_get_standingsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50, 'description': 'Max standing rows to return, 1..200 (default 50).'}, 'offset': {'type': 'integer', 'title': 'Offset', 'default': 0, 'description': 'Number of rows to skip for paging (default 0).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_get_top_scorers
Return the World Cup 2026 top scorers. Returns: data.scorers: list of {name, team, goals, assists}. meta.source: adapter that served the data.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_get_top_scorersArguments', 'properties': {}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_knockout_path
Round-by-round survival probabilities for one team in the full sim. Args: team: Team code (e.g. "FRA"). iterations: Number of tournament simulations (clamped to 100..20000). seed: Optional RNG seed. Returns: data: {team, reach_r32, reach_r16, reach_qf, reach_sf, reach_final, win}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_knockout_pathArguments', 'required': ['team'], 'properties': {'seed': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Seed', 'default': None, 'description': 'Optional RNG seed.'}, 'team': {'type': 'string', 'title': 'Team', 'description': 'Team code (e.g. "FRA").'}, 'iterations': {'type': 'integer', 'title': 'Iterations', 'default': 10000, 'description': 'Number of tournament simulations (clamped to 100..20000).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_match_predictor
Predict a single match: most likely scoreline + outcome probabilities. Args: home_team: First team code. away_team: Second team code. neutral: True for a neutral venue (World Cup default). Returns: data: {most_likely_score, home_win, draw, away_win, predicted_winner}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_match_predictorArguments', 'required': ['home_team', 'away_team'], 'properties': {'neutral': {'type': 'boolean', 'title': 'Neutral', 'default': True, 'description': 'True for a neutral venue (World Cup default).'}, 'away_team': {'type': 'string', 'title': 'Away Team', 'description': 'Second team code.'}, 'home_team': {'type': 'string', 'title': 'Home Team', 'description': 'First team code.'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_simulate_bracket
Monte Carlo the full World Cup 2026 — per-team round + title probabilities. Simulates all 12 groups, advances the top 2 + 8 best third-placed teams to a 32-team knockout, and plays it to a champion, ``iterations`` times. Args: iterations: Number of tournament simulations (clamped to 100..20000; ~10000 gives stable ±2% probabilities). seed: Optional RNG seed for reproducible output. Returns: data.teams: {code: {reach_r32, reach_r16, reach_qf, reach_sf, reach_final, win}} sorted by win probability descending. data.champion: most likely winner. data.iterations: iterations run. meta.estimated: true. meta.conditioned_matches: completed matches locked in (played group results fixed, decided knockout ties locked). Example: football_simulate_bracket() football_simulate_bracket(iterations=20000, seed=42)
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_simulate_bracketArguments', 'properties': {'seed': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Seed', 'default': None, 'description': 'Optional RNG seed for reproducible output.'}, 'iterations': {'type': 'integer', 'title': 'Iterations', 'default': 10000, 'description': 'Number of tournament simulations (clamped to 100..20000; ~10000 gives stable ±2% probabilities).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_simulate_group
Monte Carlo one group within the full 12-group qualification context. Args: group: Group letter A-L. iterations: Number of simulations (clamped to 100..20000). Returns: data.teams: Per-team position probabilities, p_auto_advance, p_best_third_advance, truthful combined p_advance, and avg_points. data.iterations: iterations actually run. meta.estimated: true. meta.conditioned_matches: completed matches locked in.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_simulate_groupArguments', 'required': ['group'], 'properties': {'group': {'type': 'string', 'title': 'Group', 'description': 'Group letter A-L.'}, 'iterations': {'type': 'integer', 'title': 'Iterations', 'default': 5000, 'description': 'Number of simulations (clamped to 100..20000).'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
football_xg_model
Estimate a match's expected goals and win/draw/loss probabilities. Args: home_team: First team code (e.g. "ARG"). away_team: Second team code (e.g. "BRA"). neutral: True for a neutral venue (no home advantage). World Cup default. Returns: data: {expected_home_goals, expected_away_goals, home_win, draw, away_win}. meta.estimated: true.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'football_xg_modelArguments', 'required': ['home_team', 'away_team'], 'properties': {'neutral': {'type': 'boolean', 'title': 'Neutral', 'default': True, 'description': 'True for a neutral venue (no home advantage). World Cup default.'}, 'away_team': {'type': 'string', 'title': 'Away Team', 'description': 'Second team code (e.g. "BRA").'}, 'home_team': {'type': 'string', 'title': 'Home Team', 'description': 'First team code (e.g. "ARG").'}}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
sportiq_health
Report cache backend, per-adapter healthcheck, and quota status. Returns: HealthReport-shaped dict with `cache_backend`, `cache_ok`, `adapters` (per-source ok/detail), and `quotas`.
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'title': 'sportiq_healthArguments', 'properties': {}}
출력 스키마 
{'type': 'object', 'title': 'Envelope', 'properties': {'data': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Data', 'default': None}, 'meta': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Meta', 'default': None}, 'error': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Error', 'default': None}}}
기록

최근 도구 변경

변경됨
cricket_captain_recommendation
2026년 9월 27일 2:42 AM
변경됨
cricket_get_live_odds
2026년 9월 27일 2:42 AM
변경됨
f1_get_standings
2026년 9월 27일 2:42 AM
추가됨
cross_sport_build_accumulator
2026년 9월 21일 2:42 AM
추가됨
cricket_player_matchup
2026년 9월 21일 2:42 AM
추가됨
cricket_head_to_head
2026년 9월 21일 2:42 AM
추가됨
cricket_find_value_bets
2026년 9월 21일 2:42 AM
추가됨
cricket_get_pitch_report
2026년 9월 21일 2:42 AM
추가됨
cricket_player_form_index
2026년 9월 21일 2:42 AM
추가됨
cricket_differential_picks
2026년 9월 21일 2:42 AM
추가됨
cricket_captain_recommendation
2026년 9월 21일 2:42 AM
추가됨
cricket_build_dream11_team
2026년 9월 21일 2:42 AM
추가됨
cricket_get_live_odds
2026년 9월 21일 2:42 AM
추가됨
cricket_get_squad
2026년 9월 21일 2:42 AM
추가됨
cricket_get_schedule
2026년 9월 21일 2:42 AM
추가됨
cricket_get_points_table
2026년 9월 21일 2:42 AM
추가됨
cricket_get_scorecard
2026년 9월 21일 2:42 AM
추가됨
cricket_get_live_matches
2026년 9월 21일 2:42 AM
추가됨
f1_race_pace_compare
2026년 9월 21일 2:42 AM
추가됨
f1_qualifying_analysis
2026년 9월 21일 2:42 AM
추가됨
f1_predict_pit_strategy
2026년 9월 21일 2:42 AM
추가됨
f1_weather_strategy_impact
2026년 9월 21일 2:42 AM
추가됨
f1_head_to_head_pace
2026년 9월 21일 2:42 AM
추가됨
f1_undercut_window
2026년 9월 21일 2:42 AM
추가됨
f1_tyre_degradation
2026년 9월 21일 2:42 AM
추가됨
f1_get_weather
2026년 9월 21일 2:42 AM
추가됨
f1_get_race_results
2026년 9월 21일 2:42 AM
추가됨
f1_get_standings
2026년 9월 21일 2:42 AM
추가됨
f1_get_lap_times
2026년 9월 21일 2:42 AM
추가됨
f1_get_drivers
2026년 9월 21일 2:42 AM
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