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API ReferenceLive Game State

Live Game State

Aggregated live game state — scores, periods, clocks, possession, and sport-specific situational data — merged across sportsbooks into a single authoritative view per event. One row per live fixture, consensus-selected from the books covering it.

GET /api/v1/gamestate GET /api/v1/gamestate/{sport}

Authentication

Requires API key. Available on the Game State add-on ($79/mo) or the Enterprise tier. Keys without either receive 403 tier_restricted with addon: "game_state" in the error body. Add the add-on from the billing page  on any paid plan (Hobby / Pro / Sharp); Enterprise keys get it included.

Live game state also streams over the gamestate channel on SSE and WebSocket — see Streaming below. (Streaming access requires the WebSocket add-on or Enterprise, in addition to the Game State requirement above.)

Path Parameters

ParameterTypeDescription
sportstring(optional) Single sport to return. Matches a known Atlas sport (baseball, basketball, football, hockey, soccer, tennis, table_tennis, cricket, esports, snooker, other). Case-insensitive. Unknown sports return an empty data object.

Without the path parameter, returns every sport with live events.

Response Envelope

{ "data": { "<sport>": { "<event_id>": { ...event state... } } }, "updated_at": "2026-04-23T23:55:01.234Z" }

Every event state is keyed by its canonical event_id within its sport bucket. updated_at is the server’s time when this response was built — use it to gauge freshness if polling.

Event State Fields

Every field is optional except where noted. Presence varies by sport — tennis events carry sets_home / server; hockey events carry power_play; soccer events carry corners_* / yellow_cards_*; etc.

Always present

FieldTypeNotes
home_teamstringNormalized home team name
away_teamstringNormalized away team name
sportstringSport bucket (baseball, soccer, …)
leaguestringAtlas league id (e.g. mlb, england_-_premier_league)
home_scoreintegerCurrent home score in the natural unit for the sport (runs, points, goals, sets — tennis uses summed set points)
away_scoreintegerCurrent away score
is_livebooleanAlways true in this endpoint (non-live events aren’t included)
primary_bookstringThe book the merged scores were selected from. Consensus-respecting — higher-quality books win ties
book_countintegerNumber of sportsbooks that contributed live state for this event at merge time

Temporal (most team sports)

FieldTypeExample
game_periodstring"T5" (MLB top of 5th), "Q3" (NBA Q3), "2H" (soccer 2nd half), "P2" (NHL), "S2" (tennis 2nd set), "FT" (full time)
game_clockstring"49:06" for countup sports (soccer), "5:42" for countdown sports (basketball, hockey)

Situational

FieldTypeNotes
possession"home" | "away"Which team has possession (team sports) or is serving (tennis)
server"home" | "away"Tennis only — current server
last_playstringSport-specific last-play description when available
is_timeoutbooleantrue during a timeout

Sport-specific

FieldSportType
fouls_home, fouls_awaybasketball, soccerinteger
corners_home, corners_awaysoccerinteger
yellow_cards_home, yellow_cards_awaysoccerinteger
red_cards_home, red_cards_awaysoccerinteger
power_playhockey"home" | "away"
sets_home, sets_awaytennisinteger (sets won)
hits_home, hits_awaybaseballinteger
home_pitcher, away_pitcherbaseballstring — starting pitcher display name
wickets_home, wickets_awaycricketinteger
overscricketfloat
batting_teamcricket"home" | "away"

Freshness

FieldTypeMeaning
staletrue (omitted otherwise)The primary_book’s livestate key TTL dropped below the aggregator’s freshness threshold (~10s) at merge time. Scores are the last known values; the book has gone quiet. Treat the event’s scores and period as potentially lagging the real game state.
aggregator_staletrue (omitted otherwise)The SharpAPI aggregator itself hasn’t written a new gamestate:{sport} shard for this sport in more than ~30s. Broader signal than stale — indicates a pipeline hiccup, not a single-book issue. If you see this persistently, reach out to support.

Absence = fresh. Both stale and aggregator_stale are only written when truthy, keeping the payload compact. If you don’t see them on an event, the data is considered fresh.

Example Requests

# All live events across every sport curl "https://api.sharpapi.io/api/v1/gamestate" \ -H "X-API-Key: YOUR_API_KEY" # One sport curl "https://api.sharpapi.io/api/v1/gamestate/soccer" \ -H "X-API-Key: YOUR_API_KEY"

Example Response

{ "data": { "soccer": { "argentina_-_primera_division_bocajuniors_defensayjusticia_2026-04-23": { "home_team": "Defensa y Justicia", "away_team": "Boca Juniors", "sport": "soccer", "league": "argentina_-_primera_division", "home_score": 0, "away_score": 1, "game_period": "2H", "game_clock": "49:06", "is_live": true, "possession": "away", "corners_home": 1, "corners_away": 0, "fouls_home": 0, "fouls_away": 0, "yellow_cards_home": 0, "yellow_cards_away": 0, "red_cards_home": 0, "red_cards_away": 0, "primary_book": "draftkings", "book_count": 6 }, "chile_-_primera_division_concepcion_palestino_2026-04-24": { "home_team": "Palestino", "away_team": "Concepción", "sport": "soccer", "league": "chile_-_primera_division", "home_score": 0, "away_score": 0, "is_live": true, "primary_book": "unibet", "book_count": 1, "stale": true } } }, "updated_at": "2026-04-23T23:55:01.234Z" }

Cross-Book Merge Model

Each event’s fields are merged from every sportsbook’s livestate snapshot via a three-class algorithm:

  • Class A — Scores are picked by consensus: among books at the most advanced period rank, the highest-total score with ≥2 backers wins. A single book reporting an outlier score (common in the first seconds of a score change, or from a misbehaving adapter) is rejected.
  • Class B — Temporal fields (game_period, game_clock) are selected by sport-aware clock direction — countdown vs countup — and period rank.
  • Class C — Situational fields (possession, corners_*, etc.) are priority-filled from a fixed book ranking.

primary_book reports which book the winning scores came from. book_count is the total number of books that contributed any state for the event at merge time.

Streaming

Every update that the REST endpoint would surface on the next poll also fires a gamestate:update event on the streaming channels:

Streaming clients receive an initial gamestate:snapshot with the full current state (a flat list of event rows), then gamestate:update events carrying changed rows as they merge, and gamestate:removed events when events drop from the live set.

Rate Limits & Quotas

Rate limits follow your base tier, not the add-on — Hobby keys keep their 120 req/min, Pro keep 300, Sharp keep 1,000, Enterprise custom. See Pricing . /gamestate counts the same as other REST calls toward the per-minute quota.

Troubleshooting

  • 403 tier_restricted with addon: "game_state" — your key doesn’t have the Game State add-on. Add it from Billing  for $79/mo, or upgrade to Enterprise.
  • Empty data object — no live events in scope. This is common between events on smaller sport schedules. Poll again.
  • Events with stale: true — the primary book has gone silent. Scores may lag; consider filtering them out or surfacing a UI indicator.
  • Events with aggregator_stale: true — the SharpAPI aggregator hasn’t refreshed that sport in >30s. If persistent, reach out to support; a brief bump can happen during redeploys.
  • Same match appears twice under different event_ids — known limitation for some regional leagues where sportsbooks use inconsistent league naming. Use (home_team, away_team) as a secondary dedup key on the client until the remaining alias gaps close.
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