Serveur MCP
v12-dfs
io.github.Jorgeperez0825/v12-dfs
Ce que fait ce MCP
Analyzes MLB betting markets and player props, compares sportsbook lines, models edges, tracks bets and CLV, and generates optimized MLB and NBA daily fantasy lineups.
Capacités
Outils
34
outils
admin_issue_key
Issue Key
Idempotently issue a user's API key and ALWAYS return the paste-able
connect block. Returns the email's existing active key (or mints one) so a
user keeps a single key across dashboard reloads; with rotate=true, revokes
the existing keys and mints a fresh one. Admin-gated — the dashboard's
per-user provision route (which verifies the user's Firebase token) calls
this server-side, never the browser.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**Example Response:**
```json
{
"api_key": "Api Key",
"tier": "Tier",
"limits": {}
}
```
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'admin_issue_keyArguments', 'required': ['email'], 'properties': {'tier': {'type': 'string', 'title': 'tier', 'default': 'personal', 'pattern': '^(starter|personal|business)$'}, 'email': {'type': 'string', 'title': 'email', 'maxLength': 200, 'minLength': 5}, 'rotate': {'type': 'boolean', 'title': 'rotate', 'default': False, 'description': 'Revoke existing keys and mint a fresh one.'}}}
agent_guide
Agent Guide
Self-serve onboarding: connect any agent (Claude/MCP or REST) to drive the
V12 motor, the same engine the dashboard agent uses. No auth. Returns
copy-paste MCP + REST config with a PLACEHOLDER key, the endpoint map, and the
generate body fields. Operators: issue each user their OWN key via
POST /v1/admin/create-key — never share one key.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
Schéma d’entrée
{'type': 'object', 'title': 'agent_guideArguments', 'properties': {}}
betting_agent_guide
Betting Agent Guide
How any agent uses the MLB betting tools + how to read the output.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
Schéma d’entrée
{'type': 'object', 'title': 'betting_agent_guideArguments', 'properties': {}}
betting_analyze_prop
Analyze Prop
Model a single player's prop vs tonight's FanDuel line -> edge.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_analyze_propArguments', 'required': ['name'], 'properties': {'name': {'type': 'string', 'title': 'name'}, 'prop': {'type': 'string', 'title': 'prop', 'default': 'home_run'}, 'season': {'type': 'integer', 'title': 'season', 'default': 2026}, 'threshold': {'type': 'integer', 'title': 'threshold', 'default': 2}}}
betting_best_bets
Best Bets
THE board sweep — scans EVERY main prop market (HR/RBI/hit/total_bases/
2+hits/stolen_base) in one call and returns the top edges across all of them,
not just home runs. Power props carry the Savant validation (CONFIRMED power
ranked above neutral/noise). Use this for an open 'what's hot / best plays /
what do you recommend tonight' so you NEVER conclude off a single-market scan.
A SCREEN vs the vig line — validate with CLV; game-side value is separate
(betting_sharp / betting_game_model).
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_best_betsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'limit', 'default': 12}, 'min_edge': {'type': 'number', 'title': 'min_edge', 'default': 2.0}}}
betting_build_parlay
Build Parlay
Deterministic parlay analysis for BOTH leg shapes. Body:
{legs:[...], ticket_odds?}. PROP legs {name, prop, threshold} keep the
legacy correlation-aware EV. GAME-side legs (ML / run line / total / team
total / F5, selected by the `market` field) — the slips users actually
paste — are priced from the CURRENT de-vigged market at that exact market/
line (canonical team resolution), falling back to the market-anchored run
model for totals; per-leg fair prob + edge vs the slip's price, combined
payout / breakeven / fair prob / EV under a documented independence
assumption. Legs sharing a game are flagged correlated=true and get a
correlation_warning INSTEAD of a combined edge. ticket_odds (the slip's
printed combined price) is verified vs the leg product — >2% off flags
ticket_odds_mismatch (the slip was misread; do not trust the numbers).
NEVER estimate a parlay in prose — this endpoint is the math.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_build_parlayArguments', 'required': ['legs'], 'properties': {'legs': {'type': 'array', 'items': {'type': 'object', 'title': '_ParlayLeg', 'properties': {'line': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'Line'}, 'name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Name'}, 'prop': {'type': 'string', 'title': 'Prop', 'default': 'home_run'}, 'side': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Side'}, 'team': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Team'}, 'market': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Market'}, 'threshold': {'type': 'integer', 'title': 'Threshold', 'default': 2}, 'american_odds': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'American Odds'}}, 'description': "One parlay leg — TWO shapes, discriminated by the `market` field.\n\nPROP leg (legacy): {name, prop, threshold?}\nGAME-side leg (C12): {market: moneyline|run_line|total|team_total|\n f5_moneyline|f5_total, team, side: over/under/home/\n away/<team>, line?, american_odds (the SLIP's price —\n authoritative for the payout math)}."}, 'title': 'legs'}, 'ticket_odds': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'ticket_odds'}}}
betting_cross_book
Cross Book
Cross-book value: FanDuel vs DraftKings (DK pulled via ESPN's public API,
no key/WS). LINE_SHOP (the books hang different numbers — take the easier
side) and PRICE_SHOP (better price, same line) are CONFIRMED edges, no model
needed. Arbitrage is NOT auto-reported (needs over/under sides, which ESPN
doesn't label). Overnight only pitcher_strikeouts overlaps; richer markets
appear near game time.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_cross_bookArguments', 'properties': {'prop': {'type': 'string', 'title': 'prop', 'default': 'pitcher_strikeouts'}}}
betting_game_lines
Game Lines
GAME markets — moneyline / run total / run line for today's MLB games. This
answers the 'quién gana / cuántas carreras / pronóstico Yankees vs Toronto'
questions that player props CAN'T (V12 used to just refuse them). Optional
team filter ('Yankees', 'NYY'). MARKET data from ESPN's public scoreboard,
surfaced as-is — V12 has NO game-outcome model, so this is the book's own
number, never a fabricated prediction. A book may not have posted a game yet
(fields null) — say so, don't invent a line.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_game_linesArguments', 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'team': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'team'}}}
betting_game_model
Game Model
MODEL the GAME run markets — TEAM TOTALS (over/under) and NRFI/YRFI — vs
the FanDuel line, MARKET-ANCHORED: expected_runs = the book's de-vigged
implied mean + 0.25×(structural model − book), and every edge is computed vs
the FAIR (de-vigged) probability, never the raw vig price. The structural
inputs (season runs/game, opposing STARTER + BULLPEN run factors, park;
negative-binomial tails) supply only the tilt. Entries with anchored=false /
model_only=true carry edge=null — present them as context, NEVER as value.
A SCREEN vs the market, not a lock — validate with CLV. For raw lines on
every market use betting_market.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_game_modelArguments', 'required': ['team'], 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'team': {'type': 'string', 'title': 'team'}}}
betting_log_bet
Log Bet
Record a bet you placed (per user) so we can track P&L + CLV over time.
Body: {uid, market, selection, odds (American), stake, line?, prop?, team?,
game?, book?}. Append-only — this is the evidence base that PROVES edge.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_log_betArguments', 'required': ['uid', 'market', 'selection', 'odds', 'stake'], 'properties': {'uid': {'type': 'string', 'title': 'uid'}, 'book': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'book'}, 'game': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'game'}, 'line': {'type': 'number', 'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'line'}, 'odds': {'type': 'integer', 'title': 'odds'}, 'prop': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'prop'}, 'team': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'team'}, 'stake': {'type': 'number', 'title': 'stake'}, 'market': {'type': 'string', 'title': 'market'}, 'selection': {'type': 'string', 'title': 'selection'}}}
betting_market
Market
FULL FanDuel market board for a team's game — EVERY market with real odds +
de-vig fair price, so NO market question goes unanswered. Game lines (ML /
total / run line), FIRST 5 INNINGS (F5), TEAM TOTALS, NRFI/YRFI, alternate
lines, AND the full player-prop menu (HR / 2+ HR / hit / 2+ hits / RBI /
2+ RBI / run / single / double / triple / total bases / stolen base / K).
The book's market surfaced as-is (no model). For our model edge on a prop,
follow up with betting_analyze_prop.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_marketArguments', 'required': ['team'], 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'team': {'type': 'string', 'title': 'team'}}}
betting_market_movers
Market Movers
MARKET pattern (not model opinion): how FanDuel lines MOVED today, from the
captured snapshots. A line that shortened = money coming in (sharp/news); a
drift = money off. This is the 'obvious opportunity' signal — market-confirmed,
independent of our unproven model. Needs accumulated capture; thin → thin.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_market_moversArguments', 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'prop': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'prop'}, 'min_move': {'type': 'number', 'title': 'min_move', 'default': 3.0}}}
betting_matchup
Matchup
GROUNDING — the real game for a team today: probable pitchers + the POSTED
lineup (ACTUAL player names from MLB statsapi) + the market line + the CONTEXT
a pro reasons with: home-plate UMPIRE (strike zone → totals/Ks), the INJURY
report (who's OUT / Day-To-Day), and BULLPEN health (ERA / blown saves). Call
this BEFORE naming any player or discussing a game. Name ONLY the players this
returns — never a roster from memory (that is how the agent ends up naming
players who aren't on the team).
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_matchupArguments', 'required': ['team'], 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'team': {'type': 'string', 'title': 'team'}}}
betting_my_bets
My Bets
A user's bet history + P&L / CLV summary. avg_clv_pct > 0 over time = you're
beating the closing line = real edge (the only durable proof).
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_my_betsArguments', 'required': ['uid'], 'properties': {'uid': {'type': 'string', 'title': 'uid'}}}
betting_player_form
Player Form
Streak / splits / recent form for any player ('racha de X').
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_player_formArguments', 'required': ['name'], 'properties': {'name': {'type': 'string', 'title': 'name'}, 'season': {'type': 'integer', 'title': 'season', 'default': 2026}}}
betting_scan_edges
Scan Edges
Tonight's prop board ranked by model edge (VALUE first).
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_scan_edgesArguments', 'properties': {'prop': {'type': 'string', 'title': 'prop', 'default': 'home_run'}, 'coors': {'type': 'boolean', 'title': 'coors', 'default': False}, 'limit': {'type': 'integer', 'title': 'limit', 'default': 15}, 'season': {'type': 'integer', 'title': 'season', 'default': 2026}, 'min_edge': {'type': 'number', 'title': 'min_edge', 'default': 2.0}, 'threshold': {'type': 'integer', 'title': 'threshold', 'default': 2}}}
betting_settle_bet
Settle Bet
Settle a logged bet. Body: {uid, bet_id, result: won|lost|push,
closing_odds?}. closing_odds lets us compute CLV (did you beat the close).
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_settle_betArguments', 'required': ['uid', 'bet_id', 'result'], 'properties': {'uid': {'type': 'string', 'title': 'uid'}, 'bet_id': {'type': 'string', 'title': 'bet_id'}, 'result': {'type': 'string', 'title': 'result'}, 'closing_odds': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'closing_odds'}}}
betting_sharp
Sharp
SHARP value — FanDuel vs PINNACLE (the sharpest book, ~2% hold). Pinnacle's
de-vigged line ≈ TRUE probability, so this is the most reliable value signal in
the kit, NO model needed: edge_vs_sharp = FD's price minus the sharp's true
prob; POSITIVE means FanDuel pays MORE than fair (real value vs the market).
Plus total line-shop. Pinnacle only lists UPCOMING games (gone once started).
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'betting_sharpArguments', 'required': ['team'], 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'team': {'type': 'string', 'title': 'team'}}}
contest_advice
Contest Advice
Advice for a concrete contest name. Resolves the name against the LIVE
lobby FIRST so a real live contest is never reported missing (the curated
registry is only a subset — that was the "$800 Wed MLB Home Run no existe"
bug), then layers registry strategy advice on top when a template matches.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'contest_adviceArguments', 'required': ['name'], 'properties': {'name': {'type': 'string', 'title': 'name'}, 'sport': {'type': 'string', 'title': 'sport', 'default': 'MLB'}, 'platform': {'type': 'string', 'title': 'platform', 'default': 'fd'}}}
contest_semaforo
Contest Semaforo
VIP-only: per-contest play/skip verdict from the owner's verified P&L
bands + structure gates + rake/fill math. See core/data/contest_semaforo.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'contest_semaforoArguments', 'properties': {'limit': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'limit', 'default': 60}, 'sport': {'type': 'string', 'title': 'sport', 'default': 'MLB'}, 'platform': {'type': 'string', 'title': 'platform', 'default': 'fd'}}}
fill_template
Fill Template
Fill a downloaded FanDuel/DK entries-template with already-generated
lineups WITHOUT re-running the optimizer — the MCP-callable equivalent of the
dashboard's fill_template. Keeps each entry row's leading columns (entry_id,
contest_id, fee) and replaces the roster-slot columns with a lineup's upload
tokens, cycling lineups if there are more entry rows than lineups.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'fill_templateArguments', 'required': ['template_csv', 'lineups'], 'properties': {'lineups': {'type': 'array', 'items': {'type': 'array', 'items': {'type': 'string'}}, 'title': 'lineups', 'maxItems': 200, 'description': 'Each lineup = upload tokens in template roster-slot order.'}, 'template_csv': {'type': 'string', 'title': 'template_csv', 'maxLength': 8000000, 'description': 'Raw CSV of the entries-template (headers + entry rows).'}}}
generate_lineups
Generate Lineups
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**Example Response:**
```json
{
"status": "Status",
"generated_at": "Generated At",
"warnings": [],
"exposures": {},
"lineups": []
}
```
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'generate_lineupsArguments', 'required': ['date'], 'properties': {'date': {'type': 'string', 'title': 'date', 'pattern': '^\\d{4}-\\d{2}-\\d{2}$', 'description': 'Slate date YYYY-MM-DD'}, 'runs': {'type': 'integer', 'title': 'runs', 'default': 5, 'maximum': 10.0, 'minimum': 1.0, 'description': 'Accepted for tier limits and response metadata. Portfolio quality is controlled by preset, candidate_pool_size, pool_oversample_multiplier, and simulation settings.'}, 'seed': {'type': 'integer', 'title': 'seed', 'default': 42, 'maximum': 999999.0, 'minimum': 0.0, 'description': 'Random seed for reproducibility'}, 'locks': {'type': 'array', 'items': {}, 'title': 'locks', 'default': [], 'maxItems': 15, 'description': 'Players to lock in'}, 'sport': {'type': 'string', 'anyOf': [{'type': 'string', 'pattern': '^(nba|mlb|NBA|MLB)$'}, {'type': 'null'}], 'title': 'sport', 'default': 'nba', 'description': 'Sport engine to run: nba or mlb.'}, 'style': {'type': 'string', 'anyOf': [{'type': 'string', 'pattern': '^(aggressive|balanced|safe)$'}, {'type': 'null'}], 'title': 'style'}, 'avoids': {'type': 'array', 'items': {}, 'title': 'avoids', 'default': [], 'maxItems': 100, 'description': 'Players to avoid'}, 'n_sims': {'type': 'integer', 'anyOf': [{'type': 'integer', 'maximum': 100000.0, 'minimum': 100.0}, {'type': 'null'}], 'title': 'n_sims', 'description': 'Monte Carlo iterations when simulation is enabled.'}, 'preset': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'preset', 'default': 'gpp_pro_pattern', 'description': 'Strategy preset key.'}, 'lineups': {'type': 'integer', 'anyOf': [{'type': 'integer', 'maximum': 150.0, 'minimum': 1.0}, {'type': 'null'}], 'title': 'lineups', 'description': 'Number of lineups (overrides preset default)'}, 'platform': {'type': 'string', 'anyOf': [{'type': 'string', 'pattern': '^(fd|dk|fanduel|draftkings)$'}, {'type': 'null'}], 'title': 'platform', 'default': 'fd', 'description': 'V12 platform profile: fd or dk.'}, 'sim_mode': {'type': 'string', 'anyOf': [{'type': 'string', 'pattern': '^(off|mvn|on)$'}, {'type': 'null'}], 'title': 'sim_mode', 'description': 'Simulation mode. NBA: mvn/off. MLB: on/off.'}, 'slate_id': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'slate_id', 'description': 'Specific slate ID from /v1/slates. Overrides date-based lookup.'}, 'strategy': {'type': 'string', 'anyOf': [{'type': 'string', 'pattern': '^(gpp|cash)$'}, {'type': 'null'}], 'title': 'strategy', 'description': 'GPP or cash game strategy'}, 'plan_only': {'type': 'boolean', 'title': 'plan_only', 'default': False, 'description': 'When true, the server resolves preset / contest / authoritative slate / top-run-env / locks but does NOT run the optimizer. Returns a Plan response so the user can review and confirm before spending credits on a real generate. Costs 0 credits; normal slate-open safety checks still apply.'}, 'contest_id': {'type': 'string', 'anyOf': [{'type': 'string', 'maxLength': 80}, {'type': 'null'}], 'title': 'contest_id', 'description': "Optional contest handle for building an entry-update CSV from the user's existing contest entries."}, 'fd_user_id': {'type': 'string', 'anyOf': [{'type': 'string', 'pattern': '^\\d+$', 'maxLength': 32}, {'type': 'null'}], 'title': 'fd_user_id', 'description': 'DEPRECATED on /v1/generate: fd_user_id is bound server-side to your API key (see /v1/admin/bind-fd-user). Body value is IGNORED on the public route unless X-Internal-Secret matches. Kept on the schema for the internal admin path only.'}, 'focus_games': {'type': 'array', 'items': {'type': 'string'}, 'title': 'focus_games', 'default': [], 'maxItems': 30, 'description': "Game keys to emphasize, e.g. ['PHI@BOS']. Applies a small documented projection nudge."}, 'allow_locked': {'type': 'boolean', 'title': 'allow_locked', 'default': False, 'description': 'Explicit replay/late-swap override. Default false blocks slate_id generation once any game has started.'}, 'refresh_data': {'type': 'boolean', 'title': 'refresh_data', 'default': True, 'description': 'Force a fresh V12 data refresh for user-facing generation. Backtests should set false.'}, 'exposure_caps': {'type': 'object', 'title': 'exposure_caps', 'default': {}, 'description': 'Per-player exposure caps {name: 0.0-1.0}', 'additionalProperties': True}, 'contest_fallback': {'type': 'string', 'anyOf': [{'type': 'string', 'pattern': '^(slate_only)$'}, {'type': 'null'}], 'title': 'contest_fallback', 'description': "Escape hatch when a contest_id cannot be mapped to a slate (contest_slate_unresolved). 'slate_only' + an explicit slate_id builds on THAT slate and skips contest-specific behavior (field-size routing, entry-template mapping) instead of failing the whole generate. Requires slate_id; without it the request still fails closed. Omit for normal contest-anchored builds."}, 'contest_field_size': {'type': 'integer', 'anyOf': [{'type': 'integer', 'minimum': 1.0}, {'type': 'null'}], 'title': 'contest_field_size', 'description': 'Total entries (field size) of the selected contest. Governs the MLB objective: field <= 10 -> max-mean (mlb_small_field_se); field > 10 -> ceiling (mlb_se_ceiling) with a continuous ceiling tilt and the real field size fed into contest simulation. A matched contest_id lobby row is authoritative; this value is the fallback when that row is unavailable.'}, 'entry_template_csv': {'type': 'string', 'anyOf': [{'type': 'string', 'maxLength': 4000000}, {'type': 'null'}], 'title': 'entry_template_csv', 'description': 'Raw CSV of a FanDuel entries-upload-template the operator already downloaded. When present, the entry-upload is filled from its OWN entry_ids locally — no FanDuel API / session / PerimeterX call. Fixes fd_entry_template_auth_expired when the user already has the template in hand.'}, 'team_exposure_caps': {'type': 'object', 'anyOf': [{'type': 'array', 'items': {'type': 'array', 'maxItems': 2, 'minItems': 2, 'prefixItems': [{'type': 'string'}, {'type': 'number'}]}}, {'type': 'object', 'additionalProperties': {'type': 'number'}}, {'type': 'null'}], 'title': 'team_exposure_caps', 'description': 'Per-team portfolio caps, as [["COL",0.5],...] pairs or {"COL":0.5} dict.'}, 'candidate_pool_size': {'type': 'integer', 'anyOf': [{'type': 'integer', 'maximum': 5000.0, 'minimum': 0.0}, {'type': 'null'}], 'title': 'candidate_pool_size', 'description': 'Exact candidate pool size for Pool→Rank→Keep-N selection. 0/None uses preset multiplier.'}, 'contest_max_entries': {'type': 'integer', 'anyOf': [{'type': 'integer', 'maximum': 150.0, 'minimum': 1.0}, {'type': 'null'}], 'title': 'contest_max_entries', 'description': "Max entries per user for the selected contest. Used to identify multi-entry mass GPPs (>=4) which keep the caller's preset. Field SIZE, not this, governs the MLB objective — see contest_field_size."}, 'max_hitter_exposure': {'type': 'number', 'anyOf': [{'type': 'number', 'maximum': 1.0, 'exclusiveMinimum': 0.0}, {'type': 'null'}], 'title': 'max_hitter_exposure', 'description': 'Portfolio cap: max share of delivered lineups any ONE hitter may appear in (0.4 = 40%). Pitchers exempt.'}, 'max_pitcher_exposure': {'type': 'number', 'anyOf': [{'type': 'number', 'maximum': 1.0, 'exclusiveMinimum': 0.0}, {'type': 'null'}], 'title': 'max_pitcher_exposure', 'description': 'Portfolio cap: max share of delivered lineups any ONE pitcher may appear in.'}, 'projection_overrides': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'title': 'projection_overrides', 'default': [], 'maxItems': 2000, 'description': 'User-uploaded projection/ownership rows. Supports name/player_id/team/position/projection/ownership/ceiling/floor/stddev.'}, 'auto_team_exposure_cap': {'type': 'number', 'anyOf': [{'type': 'number', 'maximum': 1.0, 'exclusiveMinimum': 0.0}, {'type': 'null'}], 'title': 'auto_team_exposure_cap', 'description': 'Default per-team portfolio cap (share of lineups containing ANY given team). Per-team entries in team_exposure_caps win over it.'}, 'pool_oversample_multiplier': {'type': 'number', 'anyOf': [{'type': 'number', 'maximum': 10.0, 'minimum': 1.0}, {'type': 'null'}], 'title': 'pool_oversample_multiplier', 'description': 'Candidate pool multiplier when candidate_pool_size is not set.'}}}
get_slate_players
Get Slate Players Endpoint
Get the V12 player pool for a specific slate ID.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'get_slate_playersArguments', 'required': ['slate_id'], 'properties': {'limit': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'limit'}, 'compact': {'type': 'boolean', 'title': 'compact', 'default': False}, 'slate_id': {'type': 'integer', 'title': 'slate_id'}}}
health_check
Health
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**Example Response:**
```json
{
"status": "Status",
"version": "Version",
"timestamp": "Timestamp"
}
```
Schéma d’entrée
{'type': 'object', 'title': 'health_checkArguments', 'properties': {}}
health_v12
Health V12
Deep health check for the V12 pipeline. Surfaces:
- last nightly regression run (pass/fail + per-slate deltas)
- regression baseline metadata
- recent preflight blockers (if any cached)
No auth required — monitoring endpoint.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
Schéma d’entrée
{'type': 'object', 'title': 'health_v12Arguments', 'properties': {}}
list_contests
Contest Registry
List contest strategy registry entries for agents and the dashboard.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'list_contestsArguments', 'properties': {'sport': {'type': 'string', 'title': 'sport', 'default': 'MLB'}, 'platform': {'type': 'string', 'title': 'platform', 'default': 'fd'}}}
list_live_contests
Live Contests
Return latest V12 contest context without backend identifiers.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'list_live_contestsArguments', 'properties': {'limit': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'limit', 'default': 250}, 'sport': {'type': 'string', 'title': 'sport', 'default': 'MLB'}, 'compact': {'type': 'boolean', 'title': 'compact', 'default': True}, 'platform': {'type': 'string', 'title': 'platform', 'default': 'fd'}}}
list_presets
Get Presets
List the available strategy presets (gpp_pro_pattern, gpp_sniper, gpp_balanced, gpp_volume, cash_grinder, gpp_contrarian, gpp_mass_entry) with their configurations. No auth required.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'list_presetsArguments', 'properties': {'sport': {'type': 'string', 'title': 'sport', 'default': 'nba'}}}
list_slates
Get Slates
List available V12 slates for today. Returns slate IDs, game counts, and lock times.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'list_slatesArguments', 'properties': {'site': {'type': 'string', 'title': 'site', 'default': 'fd'}, 'limit': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'limit'}, 'sport': {'type': 'string', 'title': 'sport', 'default': 'NBA'}, 'compact': {'type': 'boolean', 'title': 'compact', 'default': False}, 'playable': {'type': 'boolean', 'title': 'playable', 'default': False}}}
run_mlb_postmortem
Run Mlb Postmortem
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**Example Response:**
```json
{
"status": "Status",
"generated_at": "Generated At",
"date": "Date",
"game_id": "Game Id",
"entries": 1,
"field_lineups": 1,
"training_rows": 1,
"missing_sources": [
"string"
],
"results": {},
"history_validation": {},
"field": {},
"diagnostics": {},
"simulator_feed": {},
"warnings": [
"string"
]
}
```
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'run_mlb_postmortemArguments', 'required': ['date', 'game_id', 'history_csv'], 'properties': {'date': {'type': 'string', 'title': 'date', 'pattern': '^\\d{4}-\\d{2}-\\d{2}$', 'description': 'Slate date YYYY-MM-DD'}, 'game_id': {'type': 'string', 'title': 'game_id', 'maxLength': 32, 'minLength': 3, 'description': 'V12 slate/game handle, e.g. 129715.'}, 'history_csv': {'type': 'string', 'title': 'history_csv', 'minLength': 1, 'description': 'Raw FanDuel contest-history CSV content.'}, 'upload_csvs': {'type': 'array', 'items': {'type': 'object', 'title': 'PostmortemUploadCsv', 'required': ['content'], 'properties': {'content': {'type': 'string', 'title': 'Content', 'minLength': 1, 'description': 'Raw FanDuel upload/template CSV content.'}, 'filename': {'type': 'string', 'title': 'Filename', 'default': 'upload.csv', 'maxLength': 240}}}, 'title': 'upload_csvs', 'default': [], 'maxItems': 20}, 'sabersim_csv': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'sabersim_csv', 'description': 'Optional external lineup export for comparison.'}, 'sync_supabase': {'type': 'boolean', 'title': 'sync_supabase', 'default': True, 'description': 'Upsert simulator training rows to production store when configured.'}, 'top_field_rank': {'type': 'integer', 'title': 'top_field_rank', 'default': 200, 'maximum': 1000.0, 'minimum': 1.0}, 'history_filename': {'type': 'string', 'title': 'history_filename', 'default': 'contest-history.csv', 'maxLength': 240}}}
scout_field
Scout Field
VIP-only (owner order 8/16): opponent-scouting profiles for the small
single-entry band. The owner's $65 table runs the SAME regulars nightly;
this returns each regular's fingerprint — days seen, avg score,
chalkiness (overlap with field consensus), favorite pitchers/bats and
head-to-head vs the owner — built from harvested full fields
(brain/scout_profiles.json, refreshed by the local scouting pipeline;
packaged snapshot as fallback so the endpoint never 500s on a fresh
volume). Same fail-closed allowlist as the semaforo.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'scout_fieldArguments', 'properties': {'contest': {'type': 'string', 'title': 'contest', 'default': 'Knuckleball'}, 'min_days': {'type': 'integer', 'title': 'min_days', 'default': 3}}}
slate_diff
Slate Diff
Compute what changed since a previously-stored snapshot.
Body shape:
{
"slate_id": 32867,
"date": "2026-05-11",
"sport": "NBA",
"site": "FD",
"previous": {
"v": "v1",
"players": [{"id","name","status","salary","proj"}, ...],
"odds": [{"game","ou","spread","home_ml","away_ml"}, ...]
}
}
Returns a structured diff: which players changed status / salary /
projection, which games moved spread or O/U, which players were added
or removed from the pool. The thresholds for "changed":
- status: any non-empty difference (Q→OUT, ''→OUT, GTD→IN, etc.)
- salary: any integer delta
- projection: |delta| >= 0.5 fantasy points
- odds spread: |delta| >= 0.5
- odds ou: |delta| >= 0.5
- odds ml: |delta| >= 10 (American odds noise floor)
No auth required — read-only computation off in-memory current snapshot
plus the caller-supplied previous one.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'slate_diffArguments', 'properties': {}}
slate_health
Slate Health
Pre-flight diagnostic for a slate. Returns whether odds, projections,
matchup, and FD master-session are ready BEFORE the agent invokes
/v1/generate.
Either slate_id or date is required. When slate_id is given, the slate
metadata is also returned (games list, lock times). When only date is
given, the data-pillar checks still run but game coverage cannot be
computed (returned as null).
READING THE PROJECTION FRESHNESS (MLB especially): `stokastic.age_min` is the
age of the cached snapshot FILE, NOT a data-quality signal. For MLB the cache
is refreshed only twice a day, so mid-afternoon it routinely reads several
hours old AND THAT IS FINE — a user-facing generate fetches projections LIVE
(refresh_data=true), and `stokastic.generate_fetches_live=true` flags this.
A stale `age_min` with a loaded, populated pool is NOT "projections broken /
aces at 0 / no edge": probable pitchers are set days ahead (non-zero), and
only confirmed BATTING lineups firm up ~1-2h before lock. Do NOT treat a stale
cache age as a blocker or tell the user to wait/re-refresh — check the actual
pool (get_slate_players) for non-zero pitcher projections instead.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'slate_healthArguments', 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'site': {'type': 'string', 'title': 'site', 'default': 'fd'}, 'sport': {'type': 'string', 'title': 'sport', 'default': 'NBA'}, 'slate_id': {'type': 'integer', 'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'slate_id'}, 'include_snapshot': {'type': 'boolean', 'title': 'include_snapshot', 'default': False}, 'last_known_fingerprint': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'last_known_fingerprint'}}}
slate_refresh
Slate Refresh
Re-fetch projections + odds + slate metadata for a date.
Writes to the configured store (Supabase in prod). Returns a summary
dict (date, slate_id, n_games, n_players, n_upserted, n_odds, backend).
Auth: requires X-API-Key OR X-Internal-Secret (cron use). This is a
write op that costs one Stokastic + one ESPN API call.
### Responses:
**200**: Successful Response (Success Response)
Content-Type: application/json
**422**: Validation Error
Content-Type: application/json
**Example Response:**
```json
{
"detail": [
{
"loc": [],
"msg": "Message",
"type": "Error Type",
"ctx": {}
}
]
}
```
Schéma d’entrée
{'type': 'object', 'title': 'slate_refreshArguments', 'properties': {'date': {'type': 'string', 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'date'}, 'site': {'type': 'string', 'title': 'site', 'default': 'FD'}, 'sport': {'type': 'string', 'title': 'sport', 'default': 'NBA'}}}
Historique
Modifications récentes des outils
Ajouté
betting_market_movers
17 September 2026 12:42
Ajouté
betting_matchup
17 September 2026 12:42
Ajouté
betting_game_model
17 September 2026 12:42
Ajouté
betting_sharp
17 September 2026 12:42
Ajouté
betting_market
17 September 2026 12:42
Ajouté
betting_game_lines
17 September 2026 12:42
Ajouté
betting_cross_book
17 September 2026 12:42
Ajouté
betting_settle_bet
17 September 2026 12:42
Ajouté
betting_my_bets
17 September 2026 12:42
Ajouté
betting_log_bet
17 September 2026 12:42
Ajouté
betting_build_parlay
17 September 2026 12:42
Ajouté
betting_best_bets
17 September 2026 12:42
Ajouté
betting_scan_edges
17 September 2026 12:42
Ajouté
betting_analyze_prop
17 September 2026 12:42
Ajouté
betting_player_form
17 September 2026 12:42
Ajouté
betting_agent_guide
17 September 2026 12:42
Ajouté
admin_issue_key
17 September 2026 12:42
Ajouté
fill_template
17 September 2026 12:42
Ajouté
contest_advice
17 September 2026 12:42
Ajouté
scout_field
17 September 2026 12:42
Ajouté
contest_semaforo
17 September 2026 12:42
Ajouté
list_live_contests
17 September 2026 12:42
Ajouté
list_contests
17 September 2026 12:42
Ajouté
run_mlb_postmortem
17 September 2026 12:42
Ajouté
generate_lineups
17 September 2026 12:42
Ajouté
list_presets
17 September 2026 12:42
Ajouté
slate_diff
17 September 2026 12:42
Ajouté
slate_refresh
17 September 2026 12:42
Ajouté
slate_health
17 September 2026 12:42
Ajouté
get_slate_players
17 September 2026 12:42
Découvrir
Serveurs MCP similaires
Stratz
io.github.pipeworx-io/stratz
Provides Dota 2 data including heroes, players, matches, live games, player histories, hero statistics, and custom STRATZ GraphQL…
Riot Games
io.github.pipeworx-io/riot-games
Provides Riot Games and League of Legends data for accounts, champions, mastery, ranked ladders, matches, timelines, and player h…
Wynncraft
io.github.pipeworx-io/wynncraft
Provides Wynncraft player, guild, leaderboard, online-player, news, and item database lookups.
Balldontlie
io.github.pipeworx-io/balldontlie
Provides NBA schedules, games, players, rosters, and game-level basketball statistics.
sportiq-mcp
io.github.Ninjabeam20/sportiq-mcp
Provides football, Formula 1, and cricket schedules, scores, statistics, simulations, fantasy recommendations, odds analysis, and…
Api Football
io.github.pipeworx-io/api-football
Provides soccer data including fixtures, leagues, squads, injuries, head-to-head records, and match predictions.
Opendota
io.github.pipeworx-io/opendota
Provides Dota 2 player profiles, professional match data, and hero pick, win, and ban statistics.
Betsapi
io.github.pipeworx-io/betsapi
Retrieves upcoming and live sports events along with bookmaker odds across supported sports.