score_prob
Market-implied correct-score probabilities for ONE football match — ONE call. Inverts the de-vigged 1x2 (power de-vig) + totals prices into a bivariate-Poisson (Dixon-Coles) score grid and returns the top-K scorelines with probabilities, the fitted goal rates (lambda_home/lambda_away), and how mu...
This record as markdown: /tools/dev-infersports-infersports/score-prob.md
What score_prob does on Infersports
AI agents call score_prob to retrieve information from Infersports without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
top | integer | — | |
date | object | — | |
query | string | Yes | |
sport | object | — |
Parameters from the server's own tool schema.
Why score_prob is rated Low
This tool queries and transforms existing odds/pricing data into derived probability estimates for a single match. It performs statistical analysis (Dixon-Coles Poisson fitting) on market data but neither creates, modifies, executes external operations, nor deletes anything. It is strictly informational retrieval with no side effects, fitting the Read category cleanly.
From the tool's definition Tool description states 'Read-only' server; 'score_prob' inverts existing market prices into probabilities and returns analysis results with no modification of underlying data.
Attacks that exploit this kind of access
The rule that runs score_prob safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Infersports, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For score_prob, this is the rule to start with:
score_prob is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Infersports, apply this rule, and every score_prob call is checked against it from then on.
Questions about score_prob
Market-implied correct-score probabilities for ONE football match — ONE call. Inverts the de-vigged 1x2 (power de-vig) + totals prices into a bivariate-Poisson (Dixon-Coles) score grid and returns the top-K scorelines with probabilities, the fitted goal rates (lambda_home/lambda_away), and how much probability mass the list covers. The asian-handicap fair price is held out of the fit and reported as ah_ev_check (≈0 means the three markets are internally consistent). This is the market's own distribution, never an InferSports prediction. Football only, one match per call. Args: query: natural-language fixture, e.g. "Mexico vs South Africa" or a single team. sport: optional filter; only "football" is supported by this tool. date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. top: how many scorelines to return (default 5, max 10). It is categorised as a Read tool in the Infersports MCP Server, which means it retrieves data without modifying state.
score_prob accepts 4 parameters: top, date, query, sport. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the Infersports MCP server in PolicyLayer and add a rule for score_prob: 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 Infersports. Nothing to install.
score_prob is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the score_prob 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 score_prob. 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.
score_prob is provided by the Infersports MCP server (https://api.infersports.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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