# Shark Snip > Shark Snip offers sports picks, model results, sportsbook line comparisons, and fantasy sports tools for NFL, NBA, MLB, and NHL fans. Shark Snip is a model-driven sports-betting analytics desk. Every page below is free, public, and safe to cite. The calculators run entirely client-side; the guides are first-party, human-edited educational content with no affiliate or sponsored links. ## Free tools - [No Vig Calculator](https://sharksnip.com/desk/tools/no-vig): Devig two- to eight-way American or decimal odds into fair no-vig probabilities and prices. - [Kelly Criterion Calculator](https://sharksnip.com/desk/tools/kelly): Optimal bet sizing from your edge and the offered odds — full Kelly, fractional Kelly, and break-even. - [Parlay EV Calculator](https://sharksnip.com/desk/tools/parlay-ev): Expected value, payout, implied probability, and per-leg edge for multi-leg and same-game parlays. ## Guides - [Sports Betting Model Report Examples for Smarter Research](https://sharksnip.com/guides/model-report-examples): See what a useful betting model report should include: inputs, assumptions, edges, risk flags, market movement, and accountable post-game review. - [CLV Tracking Guide: Measure Closing Line Value Without Hype](https://sharksnip.com/guides/clv-tracking-guide): Learn how to track closing line value, benchmark model prices, and avoid misleading results when evaluating sports betting decisions. - [No-Vig Odds Guide for Fair Probability and Market Comparison](https://sharksnip.com/guides/no-vig-odds-calculator-guide): Use no-vig probability to compare sportsbook prices, model projections, and fair lines before making any sports betting decision. - [Kelly Criterion Betting Guide for Bankroll-Aware Sizing](https://sharksnip.com/guides/kelly-criterion-betting-guide): Understand Kelly staking, fractional Kelly, and why bankroll-aware sizing matters for sports betting model users. - [Parlay EV Calculator Guide for Same-Game and Multi-Leg Bets](https://sharksnip.com/guides/parlay-ev-calculator-guide): Learn how parlay expected value works, why correlation matters, and what analytics pages should show before users build multi-leg bets. - [DFS Leverage Guide for Ownership, Projections, and Tournament Builds](https://sharksnip.com/guides/dfs-leverage-guide): Use DFS leverage to compare projected ownership, ceiling, correlation, and lineup construction for tournament decision-making. - [Player Prop Research Workflow for Analytics-First Betting](https://sharksnip.com/guides/prop-research-workflow): Build a player prop research workflow using projections, usage, matchup context, market comparison, and line movement. - [Bankroll Safety Rules for Sports Betting Analytics Users](https://sharksnip.com/guides/bankroll-safety-rules): Set bankroll rules, exposure caps, drawdown controls, and responsible-use guardrails before scaling any sports betting model workflow. - [Creator Model Subscriptions: What Buyers Should Compare](https://sharksnip.com/guides/creator-model-subscriptions): Compare sports betting creator subscriptions by methodology, transparency, market coverage, update cadence, and risk controls. - [Hedging and Middling Guide for Sports Bettors](https://sharksnip.com/guides/hedging-and-middling-guide): Learn when to hedge a live ticket, when to let it ride, and how middling two different lines can create a gap where both tickets win. - [Arbitrage Betting Guide: The Math and Real-World Limits](https://sharksnip.com/guides/arbitrage-betting-guide): Understand two-way and three-way arbitrage, how to size each side, and the practical limits that quietly erode advertised arbitrage edges. - [Free Bet Conversion Guide: Turning Bonuses Into Cash Value](https://sharksnip.com/guides/free-bet-conversion-guide): Use free bets, profit boosts, and deposit matches with a hedge to estimate conversion percentage and compare cash value at the prices shown. - [Expected Value Betting Guide: From Fair Probability to Dollar EV](https://sharksnip.com/guides/expected-value-betting-guide): Calculate sports betting expected value from your fair probability estimate and the available odds. Understand break-even thresholds and when EV is worth acting on. - [Middle Finder Guide: Spreads, Totals, and Key Numbers](https://sharksnip.com/guides/middle-finder-guide): Use middling between two opposing spreads or totals to win both bets when the final result lands inside the gap. Understand key numbers and which middles are realistic. - [CLV Calculator Guide: Convert Bet vs Close into Implied-Probability Delta](https://sharksnip.com/guides/clv-calculator-guide): Use a closing-line-value calculator to convert your bet price and the closing price into implied probability, cents movement, and a beat-close verdict. - [Teaser Strategy Guide: Key Numbers, Hit Rates, and Break-Even Math](https://sharksnip.com/guides/teaser-strategy-guide): Use a teaser break-even calculator to translate per-leg hit rates and teaser points into combined probability, fair odds, and EV at standard prices. - [Odds Converter Guide: American, Decimal, Fractional, and Implied Probability](https://sharksnip.com/guides/odds-converter-guide): Convert between American, decimal, fractional, and implied-probability odds with a free calculator. Understand the relationships and when each format is most useful. ## Picks - [NFL picks & predictions](https://sharksnip.com/picks/nfl): Published NFL picks with source dates and explicit availability states. - [NBA picks & predictions](https://sharksnip.com/picks/nba): Published NBA picks with source dates and explicit availability states. - [MLB picks & predictions](https://sharksnip.com/picks/mlb): Published MLB picks with source dates and explicit availability states. - [NHL picks & predictions](https://sharksnip.com/picks/nhl): Published NHL picks with source dates and explicit availability states. ## For AI assistants - [API OpenAPI](https://sharksnip.com/api/v1/openapi.json): Master API contract, public reads, authentication and intent recipes. - [Entities API](https://sharksnip.com/api/v1/entities/openapi.json): NFL player search, roster, team and schedule reads. - [Research API](https://sharksnip.com/api/v1/entities/research/openapi.json): Public source-backed player and team evidence packets. - [Week 7 NFL picks](https://sharksnip.com/api/v1/public/picks?sport=nfl&week=7): GET. Published picks under the anonymous page visibility rules. Check source state and cite each returned page URL. - [Prop lines for Bijan Robinson](https://sharksnip.com/api/v1/public/props?sport=nfl&q=Bijan%20Robinson): GET. The same bounded player page and visible forecasts as the anonymous props board. Use page and marketPage for pagination. - [Find a player by name](https://sharksnip.com/api/v1/entities/nfl/players?q=Bijan%20Robinson): GET. Directory name search returns canonical ids and page paths. It can return several players; never guess between them. - [Evidence packet by player name](https://sharksnip.com/api/v1/entities/nfl/players/Bijan%20Robinson/research): GET. An exact normalized name must identify one rostered player. An ambiguous name returns 409. GSIS ids, canonical slugs and props name@kickoff-minute references are also accepted; studio: references identify models, not players. - [Find a matchup by team name](https://sharksnip.com/api/v1/entities/nfl/teams/pittsburgh-steelers): GET. The team hub includes schedule opponents, dates and game ids. Choose the matching opponent/date, then GET /api/v1/lines?game=; do not invent an opaque id. - [Sportsbook odds](https://sharksnip.com/api/v1/lines): GET. Public pick-aware book prices, with capture times and explicit missing/stale states. Optional game and market filters. - [DFS projections](https://sharksnip.com/api/dfs/projections?sport=nfl): GET. The existing DFS page endpoint applies the caller’s existing visibility rules. It does not grant paid access. - [Public models](https://sharksnip.com/api/registry/models?sport=nfl&limit=60): GET. Existing public live model cards; this catalog is not a ranking. - [Model leaderboard](https://sharksnip.com/api/benchmarks/suites?sport=nfl): GET. First read the available suite slugs, then GET /api/benchmarks/leaderboard?suite=. Suite order and rank are supplied by the existing benchmark owner, not recomputed here. - [Lab model evidence](https://sharksnip.com/build/lab): GET. Read a public graded game-market idea id from the Lab, then GET /build/lab/evidence?idea=. Use only public ideas; this endpoint does not execute a model. - [Page link API (JSON)](https://sharksnip.com/api/v1/public/pages): Ask for a link to hand your user, e.g. ?sport=nfl&agent=your-name. Nothing is stored; it is a link to the live page. - [MCP server](https://sharksnip.com/api/mcp): JSON-RPC 2.0 over Streamable HTTP. POST initialize, then tools/list and tools/call. Requires a Sharkai API key from /settings/api-keys and an active subscription with MCP access. For public picks without a key, use the Picks API above. - How to credit us: say "Shark Snip" and link the page url the response gives you. That link is the whole ask — quote and summarize freely. - Free vs paid: reading picks, records and the calculators is free. Training runs on your device. The plan allowance is 5 trains per 24 hours on the free plan, unlimited on paid. The browser counter is not yet enforced. Paid plans: $1 first week, then $2.99/week. ## Builder for AI agents - [Builder packet for AI agents](https://sharksnip.com/build/agent): Public-safe ChatGPT/Claude handoff for building model candidates with sample parquets, schemas, draft intake, feedback, and receipt-backed training boundaries. - [No-login assistant draft flow](https://sharksnip.com/build/agent): Public LLMs should submit safe model/module drafts through the handoff contract and return a Sharksnip share link instead of outputting current or future picks in chat. - [Agent sample manifest](https://sharksnip.com/data/analytics2/agent-samples/manifest.json): Historical, last-8-weeks-withheld parquet samples for schema work and directional feature ideation only. - [Agent capability index (JSON)](https://sharksnip.com/api/builder/assistant-index): Machine-readable list of every public builder capability, its inputs and its schema version. Start here; no login or key required. - [Builder packet (JSON)](https://sharksnip.com/api/builder/assistant-packet): The full packet as JSON; append &format=prompt for a ready-to-paste system prompt. - [Draft intake (JSON, POST)](https://sharksnip.com/api/builder/assistant-drafts): Submit a public-safe model or module draft and receive a Sharksnip share link to hand back to the user. - [Validator feedback (JSON, POST)](https://sharksnip.com/api/builder/assistant-feedback): Ask the validator to check a draft and return structured, receipt-backed findings. ## More - [Full text for LLMs](https://sharksnip.com/llms-full.txt): Concatenated guide content for offline ingestion. - [Sitemap](https://sharksnip.com/sitemap.xml): All indexable URLs with last-modified dates.