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Regression Incoming 2026 NFL Fantasy Preseason Rankings
x402
Regression Incoming 2026 NFL Fantasy Preseason Rankings is a paid API for AI agents from api.regressionincoming.fyi, paid per call via x402, $1/call, status unknown (last checked 2026-09-15).
Returns model-driven 2026 NFL preseason fantasy rankings for up to 412 players across QB/RB/WR/TE positions, with 99-feature confidence scores and injury-return pathway data.
Price / call$1
Success—
StatusUnknown
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 list of up to 412 NFL players ranked for 2026 fantasy preseason, each with position, ranking, confidence score (0–1), and injury-return pathway status, filterable by position (QB/RB/WR/TE), confidence threshold, and result limit.
Example use cases
Example prompt
“Pull me the top 50 wide receivers from the Regression Incoming 2026 NFL preseason model, only show players with a confidence score of at least 0.75.”
Technical details
Endpoint
GEThttps://api.regressionincoming.fyi/v1/rankings/preseasonWhen to prefer
Use this endpoint when you need preseason 2026 NFL fantasy player rankings backed by a 99-feature machine learning model with confidence intervals and injury-return data, especially when filtering by position or screening for high-confidence projections ahead of a fantasy draft.
Side effects
- Invalid position enum value returns 400 bad request
- min_confidence outside 0–1 range returns validation error
- limit exceeds 500 returns 400 error
- Payment not provided or insufficient returns 402 Payment Required
- No players match filter combination returns empty array
Input
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"limit": 50,
"position": "WR",
"min_confidence": 0.75
}
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"tier": "paid",
"count": 2,
"results": [
{
"cv": null,
"rank": 36,
"team": "NYJ",
"fp_sd": null,
"age_adj": null,
"sos_adj": null,
"age_next": null,
"fp_floor": null,
"model_fp": 7.295055,
"position": "WR",
"depth_adj": 0.65,
"player_id": "COO816508",
"confidence": 0.78,
"depth_rank": 3,
"fp_ceiling": null,
"sos_rating": null,
"data_source": "rookie_projection",
"contract_adj": null,
"contract_apy": null,
"season_games": 0,
"player_display_name": "Omar Cooper Jr.",
"projected_fp_season": 124.015942,
"projected_fp_per_game": 7.295055
},
{
"cv": null,
"rank": 37,
"team": "TEN",
"fp_sd": null,
"age_adj": null,
"sos_adj": null,
"age_next": null,
"fp_floor": null,
"model_fp": 7.19665,
"position": "WR",
"depth_adj": 1,
"player_id": "TAT143045",
"confidence": 0.78,
"depth_rank": 1,
"fp_ceiling": null,
"sos_rating": null,
"data_source": "rookie_projection",
"contract_adj": null,
"contract_apy": null,
"season_games": 0,
"player_display_name": "Carnell Tate",
"projected_fp_season": 122.343043,
"projected_fp_per_game": 7.19665
}
],
"data_version": "2026-06-14",
"position_filter": "WR"
}Schema · Response
{
"type": "json",
"example": {}
}Tags
x402
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