Moddy for Business

Moddy's models,
in your product

Our models’ predictions, top picks, and plain-English analysis, through our API into your app, site, Discord, or data feed. No data science team required.

Skip the build.

Everything an in-house team would spend months building and running, already done. Pick the models you want and plug them in.
Build it yourself
17 steps, including a loop that never ends
Hire a data science team
Ongoing cost: three salaries
3 roles
  • Data scientists to design the models
  • Data engineers to build the pipelines
  • ML engineers to deploy and run them
Build the data foundation
Ongoing cost: data licensing contracts
4 steps
  • License historical data
  • Wire up live odds feeds
  • Collect game results
  • Clean, join, and rebuild history as of each game
↻ Repeats until something works
Run the experiment loop
Ongoing cost: compute for every training run
6 steps
  • Assemble training data
  • Engineer features, check correlation and multicollinearity
  • Tune hyperparameters
  • Run a full training
  • Evaluate and backtest
  • Calibrate
↻ Every hour, forever
Keep it running
Ongoing cost: infrastructure, 24/7
6 chores
  • Build pick grading and settlement
  • Run predictions hourly, 24/7
  • Capture point-in-time data
  • Grade picks and tally performance
  • Write the analysis for your users
  • Monitor for drift and refresh
↻ Then rebuild it all for every new model
Moddy Signals
Use ours
✓ No team to hire
✓ Data foundation already built
✓ Models built, tested, and calibrated
✓ Runs hourly, 24/7, graded on live results
Pick the models you want
Integrate our API
Go live in your product
↻ Add models anytime

Predictions, as data

A prediction is one model’s call on one game or market. It tells you which side the model likes, how likely it thinks that outcome is, and how strongly it leans. Every prediction is set against consensus odds, the line and price a bettor can get at half or more of the sportsbooks we track, so you can see where a model agrees or disagrees.

What you can build

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Ranked picks inside your app
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Probability and edge displays next to the market price
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Alerts when a prediction changes or becomes a pick
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Content, data feeds, and Discord posts built on real model output

Briefed Boards, written for you

A board is a ranked list of picks, set up for your audience: the sports and markets you cover, how many picks you show, and how they’re ranked. Moddy writes three briefings on top, in your voice.
The Read
A split-league board mixing NFL Week 4 props with MLB postseason picks, leaning heavily toward unders and prop bets rather than sides or totals.
The NFL side is defined by a sharp lean on quarterback rushing lines — the models behind these picks consistently see the posted lines as badly miscalibrated, both too high and too low. That asymmetry is the board’s clearest theme. On the MLB side, the picks arrive in postseason context…
The Read
The pattern across the whole slate: where the board is leaning, and why
The Rundown
🏈 NFL✓ Won · ATL 45, NO 24
Falcons moneyline (+102)
A second model independently agrees on Atlanta tonight, backing the Falcons as road underdogs against a Saints team missing its lead running back and several defensive contributors.
You should know
The edge has meaningfully decayed as this opener at +127 has been bet down to +102.
The Rundown
The top picks, each broken down: the reasoning, the risk, and the number that could break it
The Parlay✓ Hit · +7.84 units
Colson Montgomery under 0.5 hitsMLB
+115
Bhayshul Tuten over 9.5 rec. yardsNFL
−115
Matthew Stafford over 0.5 rush yardsNFL · Rams @ Broncos
+120
3 legs · combined+784
The Parlay
A multi-leg ticket from the board's picks, with the reason and the risk for each leg and a safer two-leg option.
Every featured pick and parlay names its risk. Briefings never promise wins.

How the models actually perform

Every pick is graded on live results once it settles, never on backtests, so you and your users can see how each model performs over time.

Record and return

Wins, losses, and return on investment for every strong and normal pick, graded once it settles

Return by strength

Strong and normal picks graded separately, to show whether stronger predictions earn more

Beating the close

How often picks beat the closing line, and whether they were still bettable at game time

Skill vs. market

Whether the model’s probabilities were more accurate than the market’s, on the same picks

Calibration

Whether a 60% prediction wins about 60% of the time, and how far stated confidence drifts from results

Delivered vs. claimed

Actual profit against what the model’s own predictions said to expect, plus win rate against the break-even rate

One connection

Predictions, boards, and briefings arrive through a single REST API with the models chosen for your audience and updated every prediction run.
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REST API delivery
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Updated every prediction run, 24/7
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NFL, NBA, and MLB across 49 markets
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A record for every pick, even when there’s no edge
Talk to us about integrationRequest API docs →
Example response
{
  "id": "pick.kR7Xdc2PZiwrqnbM58Hfq",
  "sport": "NFL",
  "awayTeam": { "shortName": "PIT" },
  "homeTeam": { "shortName": "NO" },
  "gameDate": "2026-10-25T13:30:00Z",
  "player": {
    "name": "Tyler Shough",
    "position": { "code": "QB" }
  },
  "outcomeId": "ocm.passing_yards",
  "betAction": "bet_over",
  "point": 249.5,
  "odds": 132,
  "pick": "normal",
  "modelName": "Airtime Yardage Index",
  "snapshots": {
    "latest": {
      "prediction": 255.3,
      "probability": 0.511,
      "expectedValue": 0.185
    }
  }
}

Built for

Want to build your own models instead? Moddy Labs →

Start with a scoping call.

Tell us about your product and your audience. We'll come back with a proposed pilot scope.
Moddy starts at less than the data alone would cost you. We’ll quote your pilot after the scoping call.
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Scoping call
A conversation about you and your goals.
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30-day pilot
Live in your product with a test group.
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Pilot scope
We come back with a proposed plan.
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Decision
Continue to a one-year agreement, or stop.