stats_describe
Descriptive statistics for one or many numeric series: count / missing, mean, median, mode, range, sample and population variance / SD, standard error, CV, skewness and excess kurtosis (Excel SKEW / KURT), quartiles, IQR, any percentiles (numpy / PERCENTILE.INC), MAD, geometric and harmonic means...
This record as markdown: /tools/com-it-scorptech-x402/stats-describe.md
What stats_describe does on ScorpTech x402 API
AI agents call stats_describe to retrieve information from ScorpTech x402 API 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 |
|---|---|---|---|
bins | integer | — | Histogram bins (0 = numpy "auto") |
data | array | Yes | Array of numbers, an object of named arrays {"a": [...], "b": [...]}, or an array of objects (with "field") |
field | string | — | Field to read when data is an array of objects (several: comma-separated) |
outlierK | number | — | Tukey fence multiplier (1.5 = outliers, 3 = extreme) |
confidence | number | — | |
percentiles | array | — |
Parameters from the server's own tool schema.
Why stats_describe is rated Low
Even though stats_describe only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs stats_describe safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ScorpTech x402 API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stats_describe, this is the rule to start with:
stats_describe 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 ScorpTech x402 API, apply this rule, and every stats_describe call is checked against it from then on.
Questions about stats_describe
Descriptive statistics for one or many numeric series: count / missing, mean, median, mode, range, sample and population variance / SD, standard error, CV, skewness and excess kurtosis (Excel SKEW / KURT), quartiles, IQR, any percentiles (numpy / PERCENTILE.INC), MAD, geometric and harmonic means, a t confidence interval, Tukey outliers and a histogram (numpy "auto" bins). Several named series also get Pearson and Spearman correlation matrices. Accepts numbers, numeric strings, nulls / "NA" (missing) or objects plus a field name. Price: $0.002 USDC per successful call (x402, Solana). Same tool over HTTPS: POST https://scorptech.it.com/api/x402/v1/stats-describe. It is categorised as a Read tool in the ScorpTech x402 API MCP Server, which means it retrieves data without modifying state.
stats_describe accepts 6 parameters: bins, data, field, outlierK, confidence, percentiles. Required: data. The full parameter table on this page comes from the server's own tool schema.
Register the ScorpTech x402 API MCP server in PolicyLayer and add a rule for stats_describe: 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 ScorpTech x402 API. Nothing to install.
stats_describe 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 stats_describe 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 stats_describe. 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.
stats_describe is provided by the ScorpTech x402 API MCP server (https://scorptech.it.com/api/x402/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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