regression_fit
Fit a regression model and get the full statistical table, like R's summary(lm) or statsmodels. Linear, polynomial (degree 2–6), exponential (y = a·e^(bx)), logarithmic, power (y = a·x^b), multiple linear (many named predictors) and binary logistic regression (IRLS, odds ratios, McFadden pseudo-R...
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What regression_fit does on ScorpTech x402 API
AI agents invoke regression_fit to trigger actions in ScorpTech x402 API. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
x | array | Yes | Predictor values; for model=multiple / logistic an array of rows ([[x1, x2], ...]) or a single list |
y | array | Yes | Response values (0/1 for logistic); max 20,000 points |
model | string | — | |
names | array | — | Predictor names (multiple / logistic) |
degree | integer | — | |
predict | array | — | x values (or rows) to predict |
intercept | boolean | — | |
confidence | number | — |
Parameters from the server's own tool schema.
Why regression_fit is rated High
regression_fit triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs regression_fit 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 regression_fit, this is the rule to start with:
regression_fit stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 regression_fit call is checked against it from then on.
Questions about regression_fit
Fit a regression model and get the full statistical table, like R's summary(lm) or statsmodels. Linear, polynomial (degree 2–6), exponential (y = a·e^(bx)), logarithmic, power (y = a·x^b), multiple linear (many named predictors) and binary logistic regression (IRLS, odds ratios, McFadden pseudo-R², accuracy). Returns coefficients with standard errors, t / z statistics, p-values and confidence intervals, R² and adjusted R², residual standard error, F-test, AIC / BIC, a residual summary, the fitted equation, and predictions with confidence and prediction intervals. model=best ranks the single-predictor models by adjusted R² on the original scale. Numerically stable Householder QR. Price: $0.003 USDC per successful call (x402, Solana). Same tool over HTTPS: POST https://scorptech.it.com/api/x402/v1/regression-fit. It is categorised as a Execute tool in the ScorpTech x402 API MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
regression_fit accepts 8 parameters: x, y, model, names, degree, predict, intercept, confidence. Required: x, y. 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 regression_fit: 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.
regression_fit is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the regression_fit 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 regression_fit. 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.
regression_fit 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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