Config Endpoint

The config endpoint provides access to config-related data from the MLB Stats API.

Overview 

This endpoint has 36 functional methods and 0 non-functional methods.

Functional Methods 

The following methods are fully functional and tested:

aggregateSortEnum()

Summary: List all stat fields

Path: /v1/sortModifiers

Example:

from pymlb_statsapi import api

# List all stat fields
response = api.Config.aggregateSortEnum()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

awards()

Summary: List all awards

Path: /v1/awards

Example:

from pymlb_statsapi import api

# List all awards
response = api.Config.awards()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

baseballStats()

Summary: List all baseball stats

Path: /v1/baseballStats

Example:

from pymlb_statsapi import api

# List all baseball stats
response = api.Config.baseballStats()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

eventTypes()

Summary: List all event types

Path: /v1/eventTypes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all event types
response = api.Config.eventTypes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

fielderDetailTypes()

Summary: List fielder detail types

Path: /v1/fielderDetailTypes

Example:

from pymlb_statsapi import api

# List fielder detail types
response = api.Config.fielderDetailTypes()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

gameStatus()

Summary: List all status types

Path: /v1/gameStatus

Example:

from pymlb_statsapi import api

# List all status types
response = api.Config.gameStatus()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

gameTypes()

Summary: List all game types

Path: /v1/gameTypes

Query Parameters:

sportId (integer, optional): sportId
leagueId (integer, optional): leagueId
season (string, optional): season

Example:

from pymlb_statsapi import api

# List all game types
response = api.Config.gameTypes(sportId=1, leagueId=1, season="2024")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

gamedayTypes()

Summary: List all hit trajectories

Path: /v1/gamedayTypes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all hit trajectories
response = api.Config.gamedayTypes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

groupByTypes()

Summary: List groupBy types

Path: /v1/groupByTypes

Example:

from pymlb_statsapi import api

# List groupBy types
response = api.Config.groupByTypes()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

hitTrajectories()

Summary: List all hit trajectories

Path: /v1/hitTrajectories

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all hit trajectories
response = api.Config.hitTrajectories(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

jobTypes()

Summary: List all job types

Path: /v1/jobTypes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all job types
response = api.Config.jobTypes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

languages()

Summary: List all support languages

Path: /v1/languages

Example:

from pymlb_statsapi import api

# List all support languages
response = api.Config.languages()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

leagueLeaderTypes()

Summary: List all possible player league leader types

Path: /v1/leagueLeaderTypes

Example:

from pymlb_statsapi import api

# List all possible player league leader types
response = api.Config.leagueLeaderTypes()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

logicalEvents()

Summary: List all logical event types

Path: /v1/logicalEvents

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all logical event types
response = api.Config.logicalEvents(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

metrics()

Summary: List all possible metrics

Path: /v1/metrics

Example:

from pymlb_statsapi import api

# List all possible metrics
response = api.Config.metrics()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

pitchCodes()

Summary: List all pitch codes

Path: /v1/pitchCodes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all pitch codes
response = api.Config.pitchCodes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

pitchTypes()

Summary: List all pitch classification types

Path: /v1/pitchTypes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all pitch classification types
response = api.Config.pitchTypes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

platforms()

Summary: List all possible platforms

Path: /v1/platforms

Example:

from pymlb_statsapi import api

# List all possible platforms
response = api.Config.platforms()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

playerStatusCodes()

Summary: List all player status codes

Path: /v1/playerStatusCodes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all player status codes
response = api.Config.playerStatusCodes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

positions()

Summary: List all possible positions

Path: /v1/positions

Example:

from pymlb_statsapi import api

# List all possible positions
response = api.Config.positions()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

reviewReasons()

Summary: List all replay review reasons

Path: /v1/reviewReasons

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all replay review reasons
response = api.Config.reviewReasons(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

rosterTypes()

Summary: List all possible roster types

Path: /v1/rosterTypes

Example:

from pymlb_statsapi import api

# List all possible roster types
response = api.Config.rosterTypes()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

runnerDetailTypes()

Summary: List runner detail types

Path: /v1/runnerDetailTypes

Example:

from pymlb_statsapi import api

# List runner detail types
response = api.Config.runnerDetailTypes()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

scheduleEventTypes()

Summary: List all event types

Path: /v1/scheduleEventTypes

Query Parameters:

fields (array, optional): fields

Example:

from pymlb_statsapi import api

# List all event types
response = api.Config.scheduleEventTypes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

sitCodes()

Summary: List all situation codes

Path: /v1/situationCodes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute
season (string, optional): season
statGroup (string, optional): statGroup

Example:

from pymlb_statsapi import api

# List all situation codes
response = api.Config.sitCodes(fields="value", season="2024", statGroup="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

sky()

Summary: List all sky options

Path: /v1/sky

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all sky options
response = api.Config.sky(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

standingsTypes()

Summary: List all standings types

Path: /v1/standingsTypes

Example:

from pymlb_statsapi import api

# List all standings types
response = api.Config.standingsTypes()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

statFields()

Summary: List all stat fields

Path: /v1/statFields

Example:

from pymlb_statsapi import api

# List all stat fields
response = api.Config.statFields()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

statGroups()

Summary: List all stat groups

Path: /v1/statGroups

Example:

from pymlb_statsapi import api

# List all stat groups
response = api.Config.statGroups()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

statSearchConfig()

Summary: Stats Search Config Endpoint

Path: /v1/stats/search/config

Query Parameters:

filterLevel (string, optional): inputFilterLevel
group (string, optional): inputStatGroup

Example:

from pymlb_statsapi import api

# Stats Search Config Endpoint
response = api.Config.statSearchConfig(filterLevel="value", group="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

statSearchGroupByTypes()

Summary: List groupBy types

Path: /v1/stats/search/groupByTypes

Query Parameters:

filterLevel (string, optional): filterLevel

Example:

from pymlb_statsapi import api

# List groupBy types
response = api.Config.statSearchGroupByTypes(filterLevel="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

statSearchParams()

Summary: List stat search parameters

Path: /v1/stats/search/params

Query Parameters:

filterLevel (string, optional): filterLevel

Example:

from pymlb_statsapi import api

# List stat search parameters
response = api.Config.statSearchParams(filterLevel="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

statSearchStats()

Summary: List stat search stats

Path: /v1/stats/search/stats

Query Parameters:

filterLevel (string, optional): filterLevel

Example:

from pymlb_statsapi import api

# List stat search stats
response = api.Config.statSearchStats(filterLevel="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

statTypes()

Summary: List all stat types

Path: /v1/statTypes

Example:

from pymlb_statsapi import api

# List all stat types
response = api.Config.statTypes()
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

transactionTypes()

Summary: List all hit trajectories

Path: /v1/transactionTypes

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all hit trajectories
response = api.Config.transactionTypes(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

windDirection()

Summary: List all wind direction options

Path: /v1/windDirection

Query Parameters:

fields (array, optional): Comma delimited list of specific fields to be returned. Format: topLevelNode, childNode, attribute

Example:

from pymlb_statsapi import api

# List all wind direction options
response = api.Config.windDirection(fields="value")
data = response.json()

# Save to file
result = response.gzip(prefix="mlb-data")
print(f"Saved to: {result['path']}")

Schema Introspection 

You can explore the full schema for the config endpoint programmatically:

from pymlb_statsapi import api

# List all methods
methods = api.Config.get_method_names()
print(methods)

# Get method details
method = api.Config.get_method('baseballStats')
schema = method.get_schema()
print(json.dumps(schema, indent=2))

# Get detailed description
description = api.Config.describe_method('baseballStats')
print(description)