# Regression Incoming — 2026 NFL Fantasy Model (Half-PPR Draft Board)

> Regression Incoming — 2026 NFL Fantasy Model (Half-PPR Draft Board) is a paid API for AI agents from api.regressionincoming.fyi, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Returns model-driven 2026 NFL preseason half-PPR fantasy rankings, confidence scores, and injury-return pathway data for a specific player by ID

## Facts

- Endpoint: GET https://api.regressionincoming.fyi/v1/draft-board/half-ppr/%7Bplayer_id%7D
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/regression-incoming-2026-nfl-fantasy-model-half-ppr-draft-board-083cc284
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mT0k0DhwlzhuCq7EOqJDf

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability regression-incoming-2026-nfl-fantasy-model-half-ppr-draft-board-083cc284
```

Example prompt: What does the Regression Incoming half-PPR draft board say about player ID 1142 for 2026 — give me his ranking, confidence score, and injury-return pathway?

## When to prefer this

Use this endpoint when you need per-player 2026 NFL preseason fantasy rankings specifically in half-PPR format with model confidence scores and injury pathway context. Prefer it over generic sports data APIs when you want machine-learning-derived projections with uncertainty quantification rather than consensus or expert rankings.

## Known failure modes

- Unknown or invalid player_id returns 404 or empty result
- Player not in the 412-player model pool returns a not-found error
- Malformed player_id format causes a 400 bad request
- Payment not completed (x402) results in 402 Payment Required response
- Model data not yet published for a requested player returns null confidence score

## How this service works

model-driven 2026 nfl preseason rankings. 412 players, confidence scores, injury-return pathway, VOR draft boards. per-call $0.10, or the $3 14-day draft bundle with the draft kit.

## Output

A JSON object containing the player's 2026 preseason half-PPR ranking position on the draft board, a model confidence score derived from 99 features, and an injury-return pathway assessment — drawn from a pool of 412 ranked players.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {}
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/regression-incoming-2026-nfl-fantasy-model-half-ppr-draft-board-083cc284/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.regressionincoming.fyi](https://www.zero.xyz/host/api.regressionincoming.fyi/llms.txt)