How do I get NRFI odds history in Python?
Each sportsbook's opening and closing 1st inning total for a game. Under the 0.5 line is no run in the first inning (NRFI), over is a run.
Code verified November 3, 2026. One call to get_market_odds, 10 credits.
The call
game_id comes from get_games. Fewer books post this market than the full game.
import requests
import pandas as pd
API_KEY = "YOUR_API_KEY"
resp = requests.post(
"https://mcp.fastballapi.com/v1/get_market_odds",
headers={"x-api-key": API_KEY},
json={
"game_id": "401696176",
"market": "totals_1st_1_innings",
},
timeout=60,
)
resp.raise_for_status()
data = resp.json()["data"]
books = pd.DataFrame([
{"book": b["bookmaker"], **{f'{o["outcome"]} {o["point"] if o["point"] is not None else ""}'.strip(): o["price"] for o in b["closing"]}}
for b in data["books"]
])
print(data["label"])
print(books)
Replace YOUR_API_KEY with a key from your dashboard. Python needs requests and pandas (pip install requests pandas). JavaScript runs on Node 18 or newer, or in the browser.
Or use the official client: pip install fastballapi
What comes back
The data object of the response, trimmed to the first rows. Every field is real output from the run above.
{
"game_id": "401696176",
"market": "totals_1st_1_innings",
"label": "1st inning total runs (the 0.5 line is no run / a run in the 1st)",
"scheduled_start": "2025-07-01T01:40:00.000Z",
"books": [
{
"bookmaker": "betmgm",
"opening": [
{
"outcome": "Over",
"point": 0.5,
"price": 118
},
{
"outcome": "Under",
"point": 0.5,
"price": -150
}
],
"opening_captured_at": "2025-07-01T01:10:38.000Z",
"closing": [
{
"outcome": "Over",
"point": 0.5,
"price": 118
},
{
"outcome": "Under",
"point": 0.5,
"price": -150
}
],
"closing_captured_at": "2025-07-01T01:10:38.000Z",
"minutes_before_start": 29.4
},
"...4 more"
],
"count": 6
}What to do next
- get_plate_appearances (10 credits). The first inning's plate appearances, to settle it.
- get_pitch_mix (5 credits). What the starters throw.
More guides
The same guide for other sports
- PuckAPI: How do I get NHL opening and closing odds by sportsbook in Python?
- EndzoneAPI: How do I backtest NFL closing lines in Python?
- FighterAPI: How do I compare UFC closing odds with fight results in Python?
- StrikerAPI: How do I get Premier League odds from every sportsbook with the results?
- DunkAPI: How do I backtest NBA closing lines in Python?
- AcesAPI: How do I compare ATP closing odds with the result and Elo in Python?
- BirdieAPI: How do I turn golf major winner odds into probabilities in Python?
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