NBA Stats API

Name: NBA Stats API
Brand: NBA Stats API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentData EnrichmentCompany Datanone91 EndpointsREST

For Agents

Pull NBA box scores, player and team dashboards, shot charts, play-by-play, and league-wide statistics across 91 GET endpoints.

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.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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

GET STARTED

Start building with NBA Stats API

Explore with Jentic

View OpenAPI Document

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

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

stats.nba.com does not require an API key, but Jentic injects the Referer and User-Agent headers that the feed expects so the agent's requests succeed. No vendor secrets are involved.

Intent-based discovery

Agents search Jentic by intent (e.g. 'get an NBA box score for a specific game') and Jentic returns the matching NBA Stats operation with its input schema for direct execution.

Time to first call

Direct integration with stats.nba.com: 1-2 weeks because of header quirks, rate limits, undocumented parameters, and frequent contract drift. Through Jentic: under 1 hour — search, load schema, execute.

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. Sign up at https://app.jentic.com/sign-up.

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.