com.olympus-bets/olympus-bets-analytics

com.olympus-bets/olympus-bets-analytics · v1.3.0

Quant sports analytics: 19 read-only tools across 12 leagues, projections, methods, track record.

MCPremoteno credentialsAnalytics & marketingSportsEntertainment & games

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 24 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 79/100

What it does: 24 tools · 24 read, 0 write · Analytics & marketing, CRM & sales, Web search & scraping

Test call get_todays_projections: needs a key: tool error: [mcp_auth] This tool requires a free API key (Authorization: Bearer obmcp_…) — free of charge, minted with just an email (702 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +1
Read/write annotations: +5
Safe test call: +8
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://app.olympus-bets.com/mcp

Tools

24 tools listed at last check

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 confidence tier, key
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.

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