このMCPでできること
Provides football, Formula 1, and cricket schedules, scores, statistics, simulations, fantasy recommendations, odds analysis, and strategy tools.
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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 â 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")
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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* â 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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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 â 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.
読み取り専用
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冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'cricket_get_live_matchesArguments', 'properties': {}}
出力スキーマ
{'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 â 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).
読み取り専用
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冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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).
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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").'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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 â heuristic model, not ball-by-ball H2H data.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'f1_get_driversArguments', 'required': ['session_key'], 'properties': {'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
出力スキーマ
{'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 â 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 â those live on the stints endpoint.
data.pagination: {total, count, offset, limit, has_more, next_offset}.
meta.source: adapter that served the data.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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)."}}}
出力スキーマ
{'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 â finishing order, times,
grid positions, points, and fastest laps for the race.
meta.source: adapter that served the data.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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").'}}}
出力スキーマ
{'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 â 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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'f1_get_standingsArguments', 'required': ['year'], 'properties': {'year': {'type': 'integer', 'title': 'Year', 'description': 'Championship year (e.g. 2026).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'f1_get_weatherArguments', 'required': ['session_key'], 'properties': {'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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)
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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)."}}}
出力スキーマ
{'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 â grid derived from session laps, not official timing.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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 â degradation model fit, not official timing.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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 â model output, not telemetry oracle.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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."}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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."}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'f1_weather_strategy_impactArguments', 'required': ['session_key'], 'properties': {'session_key': {'type': 'integer', 'title': 'Session Key', 'description': 'OpenF1 session identifier.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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 â 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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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 â derived from available fixture data.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'football_form_trendsArguments', 'required': ['team'], 'properties': {'team': {'type': 'string', 'title': 'Team', 'description': 'Team name (e.g. "Brazil", "Argentina").'}}}
出力スキーマ
{'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).
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'football_get_groupsArguments', 'properties': {}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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).
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'football_get_top_scorersArguments', 'properties': {}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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.'}}}
出力スキーマ
{'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 â 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)
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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).'}}}
出力スキーマ
{'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.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'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").'}}}
出力スキーマ
{'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`.
読み取り専用
外部アクセスあり
冪等
入力スキーマ
{'type': 'object', 'title': 'sportiq_healthArguments', 'properties': {}}
出力スキーマ
{'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}}}
履歴
最近のツール変更
変更
cricket_captain_recommendation
2026年9月27日2:42
変更
cricket_get_live_odds
2026年9月27日2:42
変更
f1_get_standings
2026年9月27日2:42
追加
cross_sport_build_accumulator
2026年9月21日2:42
追加
cricket_player_matchup
2026年9月21日2:42
追加
cricket_head_to_head
2026年9月21日2:42
追加
cricket_find_value_bets
2026年9月21日2:42
追加
cricket_get_pitch_report
2026年9月21日2:42
追加
cricket_player_form_index
2026年9月21日2:42
追加
cricket_differential_picks
2026年9月21日2:42
追加
cricket_captain_recommendation
2026年9月21日2:42
追加
cricket_build_dream11_team
2026年9月21日2:42
追加
cricket_get_live_odds
2026年9月21日2:42
追加
cricket_get_squad
2026年9月21日2:42
追加
cricket_get_schedule
2026年9月21日2:42
追加
cricket_get_points_table
2026年9月21日2:42
追加
cricket_get_scorecard
2026年9月21日2:42
追加
cricket_get_live_matches
2026年9月21日2:42
追加
f1_race_pace_compare
2026年9月21日2:42
追加
f1_qualifying_analysis
2026年9月21日2:42
追加
f1_predict_pit_strategy
2026年9月21日2:42
追加
f1_weather_strategy_impact
2026年9月21日2:42
追加
f1_head_to_head_pace
2026年9月21日2:42
追加
f1_undercut_window
2026年9月21日2:42
追加
f1_tyre_degradation
2026年9月21日2:42
追加
f1_get_weather
2026年9月21日2:42
追加
f1_get_race_results
2026年9月21日2:42
追加
f1_get_standings
2026年9月21日2:42
追加
f1_get_lap_times
2026年9月21日2:42
追加
f1_get_drivers
2026年9月21日2:42
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