NBA Stats API
0
AI ReadinessNon-Ready (F)0/100
Community OpenAPI document · agent-readyData EnrichmentCompany Datanone91 EndpointsREST
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For Agents
Pull NBA box scores, player and team dashboards, shot charts, play-by-play, and league-wide statistics across 91 GET endpoints.
Use for: Get the box score for last night's NBA game, Retrieve a player's career statistics by player ID, List the current rosters for all 30 NBA teams, Find the league leaders in points per game this season
Not supported: Does not handle ticketing, NBA League Pass video streaming, or merchandise - use for NBA player, team, game, draft, and league statistics only.
The NBA Stats API exposes the unofficial stats.nba.com data feed used by NBA.com itself, covering box scores, player and team dashboards, draft history, league leaders, shot charts, play-by-play, and franchise records. The catalogue contains 91 GET endpoints spanning live game data and deep historical splits down to per-shot and per-possession statistics. The OpenAPI spec is sourced from a community-maintained Swagger definition rather than an official NBA contract.
Install Jentic One Beta
Connect the NBA Stats API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the NBA Stats API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fnba.com%2Fnba" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fnba.com%2Fnba" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with NBA Stats API.
Pull traditional, advanced, four-factors, and player-tracking box scores for any NBA game
Retrieve player profile, splits, shot logs, and dashboard statistics on demand
Fetch team rosters, schedules, and per-team dashboards across the league season
Read draft history, draft combine measurements, and draft combine drill results
Surface league dashboards for player and team statistics, clutch performance, and shot locations
Retrieve play-by-play and shot chart data for granular game-level analysis
Use Cases
Patterns agents use NBA Stats API for, with concrete tasks.
★ NBA Game Analytics Dashboard
Sports analysts and content sites build dashboards that surface advanced game metrics shortly after each NBA matchup ends. Endpoints such as /boxscoreadvancedv2, /boxscorefourfactorsv2, and /boxscoreplayertrackv2 return rich per-game splits that drop into a Postgres warehouse for trend analysis. The 91-endpoint surface covers nearly every dashboard panel an NBA-focused analytics team needs.
For yesterday's NBA games, call /boxscoreadvancedv2 for each game ID and return team and player offensive and defensive ratings.
Fantasy Basketball Tooling
Fantasy basketball products price players using up-to-date splits and trends. /leaguedashplayerstats, /leaguedashplayerclutch, and /leaguedashplayerbiostats expose ranked player tables with the metrics fantasy engines need for projections. Refreshing these tables nightly keeps the fantasy product aligned with the actual league season.
Call /leaguedashplayerstats for the current season and return the top 50 players sorted by player efficiency rating.
NBA Draft and Combine Research
Front offices, scouts, and journalists analyse draft history and combine measurements to evaluate prospects. /drafthistory, /draftcombinestats, /draftcombineplayeranthro, /draftcombinedrillresults, /draftcombinespotshooting, and /draftcombinenonstationaryshooting expose the official NBA combine and historical draft records. Pulling them into a draft-tracker database enables longitudinal study of draft cohorts.
Call /drafthistory for season=2003 and /draftcombinestats for the same year to assemble a profile of that draft class.
Shot Chart and Play-by-Play Visualisations
Broadcasters, content sites, and analytics teams render shot charts and play-by-play timelines to explain games to fans. The shot location and box score endpoints provide the underlying coordinates and event sequences. The result is a visualisation pipeline that can sit on top of the API rather than scraping the NBA web pages.
Pull /leaguedashplayershotlocations for a chosen player and season and emit a JSON payload suitable for a shot-chart renderer.
Agent-Driven NBA Stats Lookup via Jentic
Agents that answer fan or analyst questions about NBA games need a fast structured stats lookup without hand-rolling integrations against an undocumented endpoint. Through Jentic the agent searches by intent, loads the schema for the relevant box score or dashboard operation, and executes it, then summarises the JSON for the user. Because the spec is community-sourced, Jentic also handles request-header quirks the official feed expects.
Search Jentic for 'get an NBA box score for a specific game', load the schema for /boxscoresummaryv2, and execute it with the requested gameId.
Key Endpoints
91 endpoints — the nba stats api exposes the unofficial stats.
METHOD
PATH
DESCRIPTION
GET
/boxscoresummaryv2
Get box score summary for a game
GET
/boxscoreadvancedv2
Get advanced box score for a game
GET
/boxscoretraditionalv2
Get traditional box score for a game
GET
/commonplayerinfo
Get common player profile info
GET
/commonteamroster
Get current team roster
GET
/leaguedashplayerstats
League-wide player stats dashboard
GET
/leaguedashteamclutch
League-wide team clutch stats
GET
/drafthistory
Get NBA draft history
GET
/boxscoresummaryv2
Get box score summary for a game
GET
/boxscoreadvancedv2
Get advanced box score for a game
GET
/boxscoretraditionalv2
Get traditional box score for a game
GET
/commonplayerinfo
Get common player profile info
GET
/commonteamroster
Get current team roster
GET
/leaguedashplayerstats
League-wide player stats dashboard
GET
/leaguedashteamclutch
League-wide team clutch stats
GET
/drafthistory
Get NBA draft history
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
N
NBA Stats API
- Non-Ready (F)0/100
98
Foundational Compliance61
Developer Experience & Jentic Compatibility3
AI-Readiness & Agent Experience87
Agent Usability100
Security0
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
98
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
91%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
61
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
50%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
93%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
3
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: FSignals: 4
11%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
0%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
0%
Summary Coverage
Coverage of summaries across operations/tags/info.
87
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: ASignals: 1
87%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
100
Security
Trust, risk posture, and security compliance.
Grade: A+Signals: 1
100%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
0
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: FSignals: 1
0%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the NBA Stats feed by hand means discovering that stats.nba.com needs no key but rejects requests without the right Referer and User-Agent headers, then setting those on every call and handling errors yourself. Through Jentic you install once, import the NBA Stats API from the API Directory, and your agent calls it with those headers already in place.
Permission scoping
NBA Stats carries its game, player, and team ids as query parameters rather than in the URL path, so scope the agent to the operations it needs, such as box scores and player stats. Every operation here is a read, so the agent retrieves statistics and nothing that changes state.
Credential isolation
The NBA Stats feed needs no vendor secret, so there is nothing to store: your own Jentic One instance supplies the required Referer and User-Agent headers at execution time. No credential ever enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'get an NBA box score for a specific game', and Jentic returns the matching NBA Stats operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using NBA Stats API through Jentic.
What authentication does the NBA Stats API use?
The stats.nba.com endpoints accept unauthenticated requests but require browser-style headers (Referer and User-Agent) to return data successfully. The OpenAPI spec declares no security scheme; Jentic handles the headers transparently when calling endpoints such as /boxscoresummaryv2.
Can I get the box score for a specific game with the NBA Stats API?
Yes. GET /boxscoresummaryv2 with the gameId parameter returns the summary box score, and parallel calls to /boxscoreadvancedv2, /boxscorefourfactorsv2, and /boxscoretraditionalv2 return matching advanced, four-factors, and traditional splits for the same gameId.
What are the rate limits for the NBA Stats API?
stats.nba.com is unofficial and aggressively rate-limits clients that issue rapid requests, typically returning HTTP 429 or empty responses. Spread calls out, cache responses, and avoid parallel scraping; the OpenAPI spec does not publish a precise per-second figure.
How do I pull NBA box score data through Jentic?
Run pip install jentic, search for 'get an NBA box score for a specific game', load the schema for /boxscoresummaryv2, and execute it with the gameId. Jentic supplies the required browser-style headers automatically. Run it through Jentic One, the self-hosted execution layer.
Is the NBA Stats API official?
No. The stats.nba.com feed is the data source NBA.com uses internally and is not covered by a public commercial contract. The OpenAPI spec in this catalogue is community-maintained and may lag behind upstream changes; expect occasional breakages when NBA.com updates its endpoints.
Can I get league leaders and player rankings?
Yes. /leaguedashplayerstats, /leaguedashplayerclutch, /leaguedashplayershotlocations, and related dashboard endpoints return ranked tables of players or teams across the season, suitable for league-leader displays and fantasy-league sorting.
Can I limit what my agent is allowed to do with the NBA Stats API?
Yes. Because you run Jentic One yourself, your own rules decide which NBA Stats operations the agent may call, so you can allow just the endpoints it needs, such as /boxscoresummaryv2, /leaguedashplayerstats, or /drafthistory, and withhold the rest. Every operation in this API is a read that carries game, player, and team ids as query parameters, so the agent only retrieves statistics and never changes state upstream. The feed needs no vendor key, and your self-hosted instance supplies the required Referer and User-Agent headers at execution time so no credential enters the agent's prompt or logs.
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