splitifi_comparable_core

Comparable case outcomes from 2.5M+ Core Prediction cases matching your fact pattern. Returns outcome distribution, median resolution time, and jurisdiction trends.

SERVERSplitifi Intelligence MCP SOURCEsplitifi-mcp
Low RISK CLASS
Category Read
Parameters 32 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-comparable-core.md

What splitifi_comparable_core does on Splitifi Intelligence MCP

AI agents call splitifi_comparable_core to retrieve information from Splitifi Intelligence MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
limit number Max cases to return (default 20)
case_facts object Yes Case details for Core Prediction. Key fields: case_type, jurisdiction, complexity, procedural_stage, risk_factors
jurisdiction string Yes State/province code

Parameters from the server's own tool schema.

Why splitifi_comparable_core is rated Low

This tool queries a database of court records and ML model predictions to retrieve comparative legal analytics. It retrieves and presents data (outcome distributions, resolution times, jurisdiction trends) without any side effects. No creation, modification, deletion, execution, or financial transaction occurs.

From the tool's definition Tool description indicates it 'Returns outcome distribution, median resolution time, and jurisdiction trends' from comparable cases.

Questions about splitifi_comparable_core

What does the splitifi_comparable_core tool do? +

Comparable case outcomes from 2.5M+ Core Prediction cases matching your fact pattern. Returns outcome distribution, median resolution time, and jurisdiction trends. It is categorised as a Read tool in the Splitifi Intelligence MCP MCP Server, which means it retrieves data without modifying state.

What parameters does splitifi_comparable_core accept? +

splitifi_comparable_core accepts 3 parameters: limit, case_facts, jurisdiction. Required: case_facts, jurisdiction. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on splitifi_comparable_core? +

Register the Splitifi Intelligence MCP server in PolicyLayer and add a rule for splitifi_comparable_core: 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 Splitifi Intelligence MCP. Nothing to install.

What risk level is splitifi_comparable_core? +

splitifi_comparable_core is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit splitifi_comparable_core? +

Yes. Add a rate_limit block to the splitifi_comparable_core 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.

How do I block splitifi_comparable_core completely? +

Set action: deny in the PolicyLayer policy for splitifi_comparable_core. 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.

What MCP server provides splitifi_comparable_core? +

splitifi_comparable_core is provided by the Splitifi Intelligence MCP server (splitifi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Splitifi Intelligence, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Splitifi Intelligence's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.