Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped into three response segments under by_segment: (1) MODEL_DRI...
AI agents use polymarket_edges to commit financial operations through Mcp Weather Gc Ca — usually the final step of a payment, billing, or trading workflow. A call moves real money.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | Top N edges to return after ranking. Default 10, max 25. |
window | string | — | Polymarket volume window to filter markets. Default 1wk. |
min_kelly | number | — | Minimum half-Kelly fraction (as decimal, e.g. 0.005 = 0.5% of bankroll) to include single-leg opportunities. Default 0 (no filter). Skips opportunities that are |
min_edge_pp | number | — | Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage. |
slippage_pp | number | — | Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw |edge| before ranking and Kelly sizing. Polymarket has zero trading f |
max_spread_pp | number | — | Tradeable-edge filter. Maximum bid/ask spread in percentage points on the representative market. Default null (no filter). Set to 2 to require tight books — any |
min_liquidity | number | — | Tradeable-edge filter. Minimum $ liquidity on the representative market (or for partition_overround, on at least one top_leg). Default 0 (no filter). Set to 500 |
category_filter | string | — | Comma-separated list to restrict the output: "model_driven" (crypto_price + news_momentum), "structural_arbitrage" (partition_overround), "concentrated_longshot |
min_partition_leg_kelly | number | — | Minimum BEST per-leg half-Kelly fraction across a partition_overround opportunity's top_legs (or longshot_basket legs). Default 0 (no filter). Partition arbs al |
Parameters from the server's own tool schema.
This tool is explicitly designed to identify betting opportunities on Polymarket, a prediction market platform involving real money. It performs Kelly criterion calculations, bias corrections, and market edge analysis — all of which directly support financial wagering decisions. Misuse by an AI agent could lead to real monetary losses, making this a critical Financial category tool.
From the tool's definition Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for 'what should I bet on today' — agents discover opportunities without paging hundreds of markets... per-leg favorite-longshot bias correction...
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped into three response segments under by_segment: (1) MODEL_DRIVEN — crypto_price (lognormal barrier from 90d FRED log-returns) and news_momentum (GDELT 7d/21d article-volume ratio, soft signal w/ halved Kelly). (2) STRUCTURAL_ARBITRAGE — partition_overround on mutually-exclusive events; per-leg favorite-longshot bias correction with per-sport α (tennis 1.02, soccer 1.10, MMA 1.15, default 1.0); placeholder-slug filter drops will-person-X / will-team-Y / will-manager-Z / will-someone-else- backstops; partitions with >20% placeholder fraction skipped entirely. (3) CONCENTRATED_LONGSHOT — basket trade when one leg ≥75% AND ≥2 longshots ≤8% AND portfolio return ≥25:1; rare-by-design (gates relaxed Run 8 from prior 85%/5%/50:1). EVERY OPPORTUNITY carries edge_pp_net (after slippage), kelly_fraction + kelly_fraction_half (capped at 0.25), market.liquidity, market.spread_pp, market.volume, plus a 24h-move warning ("Market moved X.Xpp in 24h") when the recent move alone exceeds the edge — your edge may already be in the price. TRADEABLE-EDGE KNOBS: min_liquidity / max_spread_pp drop opportunities where edge isn't realizable; min_partition_leg_kelly filters partitions by best per-leg Kelly. RESPONSE TOP-LEVEL: by_segment{model_driven,structural_arbitrage,concentrated_longshot}, fed_candidates/fed_note (Fed bets surface here, excluded from ranking — 1m-T vs EFFR signal is unreliable at meeting-month horizons without paid OIS/SOFR-futures data), and _diagnostics{concentrated_longshot:{...funnel counters},category_counts,filter_skips} so callers can see WHY a segment is empty (top-N stale, all candidates failed gates, knob dropped them). Cached 1h at the KV level keyed on all knobs. It is categorised as a Financial tool in the Mcp Weather Gc Ca MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
polymarket_edges accepts 9 parameters: limit, window, min_kelly, min_edge_pp, slippage_pp, max_spread_pp, min_liquidity, category_filter, min_partition_leg_kelly. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Weather Gc Ca MCP server in PolicyLayer and add a rule for polymarket_edges: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Weather Gc Ca. Nothing to install.
polymarket_edges is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the polymarket_edges rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for polymarket_edges. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
polymarket_edges is provided by the Mcp Weather Gc Ca MCP server (https://gateway.pipeworx.io/weather-gc-ca/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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