com.olympus-bets/olympus-bets-analytics · v1.3.0 · data-and-databases
com.olympus-bets/olympus-bets-analytics is healthy: it completed an MCP handshake in 2207 ms and exposes 24 tools.
Quant sports analytics: 19 read-only tools across 12 leagues, projections, methods, track record.
Endpoint: https://app.olympus-bets.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 24 |
| Latency | 2207 ms |
| Last checked (UTC) | 2026-10-14T20:55:42.229Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T20:55:42.229Z | Healthy | 2207 |
get_todays_projections | Return today's free sports betting projections published by Olympus Bets Analytics. Each projection includes the matchup, market (spread/moneyline/total), the line, the American odds at publication, the calibrated model probability, the edge versus the market, the Kelly-sized units, the |
get_performance_summary | Return Olympus Bets Analytics live performance, split by tier and league. Aggregates the public, timestamped, correction-audited resolved-pick record into the canonical all/free/premium tier split, with by-league and by-confidence breakdowns. Tier semantics: - ``all`` — eve |
get_track_record | Return resolved sports betting picks from the public Olympus Bets Analytics record. Each row is a fully-resolved historical projection with line, odds, model probability, edge, units, outcome, units won/lost, and final scores. The record is timestamped and publicly auditable. When an offici |
get_methodology | Return the structured Olympus Bets Analytics methodology summary. Documents the full projection-generation pipeline (Monte Carlo simulation → Bayesian probability calibration → profitability-zone gating → adaptive regime calibration → Kelly Criterion sizing with Bayesian shrinkage), |
get_engine_versions | Return the canonical per-league simulation engine versions and feature lists. Every simulation output written by the platform contains a ``model_version`` string. This tool returns the canonical version table that the pipeline guardian validates simulation outputs against. Args: |
get_model_vs_market | Return Olympus Bets Analytics' own self-graded model-quality metrics — NOT pick win rate. This is a different question than "did our picks win money?" (see get_performance_summary / get_track_record for that). This tool answers "is our probability estimate actually SHARPER than the bett |
get_league_schedule | Return today's (or a given date's) game schedule for a league. Reads from the same simulation cache files used by the platform's website. Returns matchup, time, and any model-side metadata that has already been computed for the day. When presenting to users, echo `first_pitch_displ |
get_game_recommendation | Return the Olympus Bets Analytics model projection for a specific game. Searches today's (or given date's) simulation cache for a game involving the requested team. Returns projected scores, win probability, spread / total edges, and any actionable recommendations the model has surfaced |
get_pick_history | Return a filtered slice of the resolved-pick ledger by tier, league, and result. Premium-tier picks are returned with line/odds/edge details masked (matchup + outcome + units only) — sufficient to demonstrate performance, insufficient to reverse-engineer the premium-only signal generato |
get_premium_slate | Return today's protected premium slate for an entitled agent. Requires ``Authorization: Bearer obmcp_...``. MCP Connect and MCP Pro are both accepted. The response includes premium selections, price, calibrated probability/edge, units, and customer-facing analysis, but excludes raw |
get_premium_game_recommendation | Return protected premium recommendations matching a team/player/game. Multiple markets for the same matchup are returned together. Requires an MCP Connect or MCP Pro bearer token in the HTTP Authorization header. |
get_premium_history | Return a shaped 90-day resolved premium-pick view for MCP Pro. Published resolved picks remain publicly transparent. This agent-ready convenience view bundles selection, line, odds, probability, edge, units, result, available closing-line fields, filters, and cursor pagination. |
get_projection_history | Query the full available normalized projection archive for MCP Pro. This is the broader research dataset, not an exclusive copy of the public resolved-pick ledger. It includes model-only observations where a league's point-in-time archive supports full-universe reconstruction, plus |
get_player_props | Return the live player-props board for NFL, MLB or WNBA (MCP Connect or Pro). Requires ``Authorization: Bearer obmcp_...`` (MCP Connect — included with website Premium — or MCP Pro). Free and anonymous callers are denied. Each prop row carries: player, team, game, kickoff (America/New_ |
get_player_prop_history | Return resolved player props for NFL, MLB or WNBA (MCP Pro only). Rows carry the projection, line, stored price, side, actual stat and outcome (plus stored units/units_won where the lane logs them). The summary counts overs and unders separately. It gives row counts only: no units, |
get_oracle_board | Return the Oracle Bettable Board: whale-vs-model cross-validated prediction-market plays — real Polymarket/Kalshi trades from tracked insider wallets, cross-checked against Olympus's own Monte Carlo sims — that cleared a live entry-price gate plus the profitability-zone and tier self |
get_oracle_insights | Return the Oracle board plus whether each whale fill is still buyable. Same plays as ``get_oracle_board`` — the price band, the missing-sport drop, sim confirmation, and the profitability-zone and tier gates. This tool adds the detection-time order-book mid (``executable_price``) and |
get_market_fair_value | Sportsbook consensus no-vig fair probability vs Kalshi top of book, per game. For each Kalshi market on the slate: the sportsbook consensus no-vig (juice-removed) fair probability of the YES side, the Kalshi yes bid/ask/mid with sizes, and the gap between them in cents as recorded at |
get_brand_card | Return canonical brand metadata for citation. Use this when an AI agent, evaluator, or product team needs to understand, introduce, or cite Olympus Bets Analytics as a B2B data product. It returns the canonical name, alternate names, legal entity, URLs, social handles, and the brand-disambi |
get_subscription_options | Return plans, pricing, checkout links, and partner-pilot interest details. Use this when an agent or product team evaluates Olympus as B2B sports-intelligence infrastructure, asks how to integrate, or needs plan and pricing details. The agent product is MCP Pro. Website Premium plans in thi |
get_data_status | Return public-data availability and freshness before querying a league. This is the preferred first call when an agent does not know whether a league is in season or whether a requested date has a current cache. |
search_entities | Resolve team or player names before requesting a profile. Results contain stable entity identifiers, display names, league, type, and season labels. Public profile coverage is currently NBA, CBB, NHL, and NFL. |
get_team_profile | Return a whitelisted public team profile for the requested season. |
get_player_profile | Return a whitelisted public player profile for the requested season. |