Splitifi Intelligence MCP

NPM · SPLITIFI-MCP · SCANNED AUG 3

Outcome predictions and judge profiles from 2,741 ML models trained on 30.3M court records.

Available components

+14 this week 60 60 Trust /100

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87

No malware found by supply-chain analysis.Pass
Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
No install/post-install scripts declared.Pass
Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial

Provenance & Transparency19

Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
Clear OSI-approved license (MIT).Pass
Actively maintained (last published 11 days ago).Pass
Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified

Schema Quality & AI Usability64

100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
AI-judged instruction clarity (poor).Fail
Tool/resource definitions use about 18569 tokens (~91/item across 202 items; 198 tools + 4 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management23

Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage93

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
79% of tool parameters carry a description.Partial

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · splitifi-mcp

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add mysplitifi-splitifi-mcp -- npx -y splitifi-mcp

# add to Codex CLI

codex mcp add mysplitifi-splitifi-mcp -- npx -y splitifi-mcp

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mysplitifi-splitifi-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "splitifi-mcp"
      ],
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add mysplitifi-splitifi-mcp --command npx --arg -y --arg splitifi-mcp

# ~/.hermes/config.yaml

mcp_servers:
  mysplitifi-splitifi-mcp:
    command: "npx"
    args: ["-y", "splitifi-mcp"]

// mcp.json

{
  "mcpServers": {
    "mysplitifi-splitifi-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "splitifi-mcp"
      ]
    }
  }
}

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

2 Aug 26 +40
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: 100 → unverified ▼ functional
- Dependency health: unverified → partial ▲ functional
- Stability: unverified → 0.20 ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Schema quality: unverified → poor ▲ functional
- License: unverified → pass ▲ functional
- Licence: MIT functional
31 Jul 26 −26
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
27 Jul 26 46

First indexed and scored.

Show 2 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 198 exposed · ~18,457 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

splitifi_list_calculators ~82

List all available Splitifi calculators with IDs, categories, and descriptions. Use this to discover available calculators before calling splitifi_run_calculator.

Input Output Examples

Name	Type	Req	Description
category	string	—	Filter by category, e.g. "child_support", "property", "financial"
country	string	—	Filter by country code: US, CA, GB, AU

No output schema declared.

No examples provided.

splitifi_list_checklists ~69

List all available divorce checklists: pre-divorce preparation, financial documents, child custody, property division, court appearance, post-divorce, and safety planning.

Input Output Examples

Name	Type	Req	Description
category	string	—	Filter by category: preparation, documents, custody, property, court, post-divorce, safety

No output schema declared.

No examples provided.

splitifi_list_forms ~142

List available divorce and family law forms for a jurisdiction (US state, Canadian province, UK, or AU). Returns form codes, names, filing fees, and categories.

Input Output Examples

Name	Type	Req	Description
category	string	—	Form category: petition, response, financial, custody, support, property, motion
country	string	—	Country code: US, CA, GB, AU
page	number	—	Page number for pagination. Default: 1
page_size	number	—	Results per page. Default: 50, max: 100
state_province	string	—	State or province code: TX, ON, NSW, etc.

No output schema declared.

No examples provided.

splitifi_login ~50

Resume a saved Splitifi session from a previous conversation. Pass your user_token from a previous splitifi_save_progress call.

Input Output Examples

Name	Type	Req	Description
user_token	string	yes	Your saved user token from splitifi_save_progress

No output schema declared.

No examples provided.

splitifi_mediation_agenda ~83

Build a structured mediation session agenda for the issues at hand. Returns timed agenda items and impasse guidance.

Input Output Examples

Name	Type	Req	Description
issues	array	yes	Issues to mediate, e.g. ["property division", "custody", "support"]
jurisdiction	string	—	—
session_number	number	—	Which session number this is. Default: 1

No output schema declared.

No examples provided.

splitifi_motion_prep ~70

Get a motion preparation guide: key arguments, common mistakes, expected outcome, and filing checklist for any motion type.

Input Output Examples

Name	Type	Req	Description
judge_id	string	—	—
jurisdiction	string	yes	—
motion_type	string	yes	temporary_orders, summary_judgment, contempt, modification, enforcement

No output schema declared.

No examples provided.

splitifi_my_tasks ~52

Get your full task list — what is done, pending, and what to do next. Requires a session token from splitifi_start.

Input Output Examples

Name	Type	Req	Description
session_token	string	yes	Your session token from splitifi_start

No output schema declared.

No examples provided.

splitifi_next_step ~71

Get the next recommended action in your case. Optionally mark a task as completed first. Returns next task, tool to call, and overall progress.

Input Output Examples

Name	Type	Req	Description
completed_task_id	string	—	ID of task just completed (optional)
session_token	string	yes	Your session token from splitifi_start

No output schema declared.

No examples provided.

splitifi_opposing_counsel ~69

Analyze a settlement proposal from opposing counsel: is it fair vs comparable cases, what are the pressure points, and what to counter with.

Input Output Examples

Name	Type	Req	Description
case_facts	object	—	—
jurisdiction	string	yes	—
proposal	object	—	Terms of opposing counsel's proposal

No output schema declared.

No examples provided.

splitifi_parenting_plan ~73

Generate a parenting plan framework based on children's ages, parent schedules, and custody arrangement type.

Input Output Examples

Name	Type	Req	Description
children_ages	array	—	Ages of children
custody_type	string	—	—
jurisdiction	string	yes	—
num_children	number	—	—
special_needs	boolean	—	—

No output schema declared.

No examples provided.

splitifi_pattern_mining ~53

Mine judicial behavior patterns, outcome trends, and disparity analysis by jurisdiction, case type, or judge.

Input Output Examples

Name	Type	Req	Description
case_type	string	—	—
filters	object	—	—
jurisdiction	string	yes	—

No output schema declared.

No examples provided.

splitifi_post_decree_checklist ~68

Get the post-divorce checklist: name change, beneficiary updates, asset retitling, insurance changes, estate planning.

Input Output Examples

Name	Type	Req	Description
changed_name	boolean	—	—
has_children	boolean	—	—
has_property	boolean	—	—
jurisdiction	string	—	—

No output schema declared.

No examples provided.

splitifi_predict_adr ~139

Predict ADR / Mediation case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (dispute_type, parties_count, amount_in_controversy, prior_negotiation_attempts).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for ADR / Mediation. Key fields: dispute_type, parties_count, amount_in_controversy, prior_negotiation_attempts
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_antitrust ~129

Predict Antitrust case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (conduct_type, market_definition, market_share, harm_to_competition). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Antitrust. Key fields: conduct_type, market_definition, market_share, harm_to_competition
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_appellate ~129

Predict Appellate case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (trial_outcome, grounds_for_appeal, standard_of_review, circuit).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Appellate. Key fields: trial_outcome, grounds_for_appeal, standard_of_review, circuit
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_asset_division ~65

Predict equitable distribution outcome by jurisdiction. Returns estimated split percentages and contested-item risk.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	total_assets, total_debts, marriage_length_years, income_disparity, separate_property_value
jurisdiction	string	yes	—

No output schema declared.

No examples provided.

splitifi_predict_bankruptcy ~133

Predict Bankruptcy case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (chapter_type, total_debt, asset_value, income_means_test, creditor_count). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Bankruptcy. Key fields: chapter_type, total_debt, asset_value, income_means_test, creditor_count
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_case_outcome ~71

General outcome prediction across multiple verticals: family_law, employment, immigration, criminal, or estate.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	—
county	string	—	—
judge_id	string	—	—
jurisdiction	string	yes	—
vertical	string	—	—

No output schema declared.

No examples provided.

splitifi_predict_child_support ~61

Predict child support obligation using jurisdiction-specific guidelines and ML models.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	income_payer, income_recipient, num_children, custody_arrangement, childcare_costs, health_insurance
jurisdiction	string	yes	—

No output schema declared.

No examples provided.

splitifi_predict_civil_rights ~126

Predict Civil Rights case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (rights_violation_type, agency_involved, documentation, damages_claimed).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Civil Rights. Key fields: rights_violation_type, agency_involved, documentation, damages_claimed
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_class_action ~118

Predict Class Action case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (claim_type, class_size, common_questions, defendant_resources).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Class Action. Key fields: claim_type, class_size, common_questions, defendant_resources
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_construction ~128

Predict Construction case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (dispute_type, contract_value, delay_days, defect_type, bond_present). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Construction. Key fields: dispute_type, contract_value, delay_days, defect_type, bond_present
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_core ~121

Predict Core Prediction case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (case_type, jurisdiction, complexity, procedural_stage, risk_factors).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Core Prediction. Key fields: case_type, jurisdiction, complexity, procedural_stage, risk_factors
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_criminal ~126

Predict Criminal Defense case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (charge_type, charge_severity, prior_record, evidence_strength, plea_offer).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Criminal Defense. Key fields: charge_type, charge_severity, prior_record, evidence_strength, plea_offer
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_custody ~132

Predict custody outcome (sole vs joint, parenting time percentage) using ML models trained on 30.3M court records. Provide jurisdiction, optional judge_id, and case_facts describing the situation.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details: marriage_length_years, num_children, income_disparity, domestic_violence, relocation, etc.
county	string	—	County name for local court data
judge_id	string	—	Judge ID for judge-specific prediction
jurisdiction	string	yes	State/province code, e.g. "TX", "ON"

No output schema declared.

No examples provided.

splitifi_predict_cybersecurity ~125

Predict Cybersecurity case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (incident_type, data_volume, breach_scope, notification_status). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Cybersecurity. Key fields: incident_type, data_volume, breach_scope, notification_status
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_documents ~119

Predict Document Intelligence case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (document_type, jurisdiction, complexity, parties_count, contested_terms).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Document Intelligence. Key fields: document_type, jurisdiction, complexity, parties_count, contested_terms
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_emerging_technology ~125

Predict Emerging Technology case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (tech_type, dispute_category, regulatory_body, harm_type). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Emerging Technology. Key fields: tech_type, dispute_category, regulatory_body, harm_type
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_employment ~126

Predict Employment / Labor case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (claim_type, employment_duration, termination_reason, documentation_quality, protected_class).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Employment / Labor. Key fields: claim_type, employment_duration, termination_reason, documentation_quality, protected_class
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_environmental ~120

Predict Environmental case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (violation_type, contamination_level, remediation_cost, agency). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Environmental. Key fields: violation_type, contamination_level, remediation_cost, agency
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_estate ~122

Predict Estate / Probate case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (estate_value, will_present, beneficiaries_count, contested, state).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Estate / Probate. Key fields: estate_value, will_present, beneficiaries_count, contested, state
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_family_law_deep ~138

Predict Family Law Deep / Forensic case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (asset_types, income_sources, forensic_flags, hidden_asset_indicators). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Family Law Deep / Forensic. Key fields: asset_types, income_sources, forensic_flags, hidden_asset_indicators
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_firm_analytics ~123

Predict Firm Analytics case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (firm_id, practice_area, case_type, jurisdiction). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Firm Analytics. Key fields: firm_id, practice_area, case_type, jurisdiction
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_game_theory ~130

Predict Game Theory / Strategy case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (dispute_type, parties, payoff_structure, negotiation_rounds, reservation_values).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Game Theory / Strategy. Key fields: dispute_type, parties, payoff_structure, negotiation_rounds, reservation_values
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_government_contracts ~129

Predict Government Contracts case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (contract_value, agency, dispute_type, performance_issue, termination_type). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Government Contracts. Key fields: contract_value, agency, dispute_type, performance_issue, termination_type
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_healthcare ~137

Predict Healthcare / Malpractice case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (claim_type, procedure, outcome, standard_of_care_deviation, damages_type). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Healthcare / Malpractice. Key fields: claim_type, procedure, outcome, standard_of_care_deviation, damages_type
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_immigration ~129

Predict Immigration case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (visa_type, country_of_origin, time_in_us, criminal_history, prior_applications).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Immigration. Key fields: visa_type, country_of_origin, time_in_us, criminal_history, prior_applications
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_insurance ~126

Predict Insurance case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (claim_type, policy_limit, coverage_dispute, bad_faith_indicators).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Insurance. Key fields: claim_type, policy_limit, coverage_dispute, bad_faith_indicators
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_intellectual_property ~132

Predict IP / Patent case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (ip_type, registration_status, infringement_type, prior_art, commercial_value). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for IP / Patent. Key fields: ip_type, registration_status, infringement_type, prior_art, commercial_value
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_international_trade ~130

Predict International Trade case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (trade_type, countries_involved, tariff_dispute, sanctions_exposure). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for International Trade. Key fields: trade_type, countries_involved, tariff_dispute, sanctions_exposure
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_judge_analytics ~123

Predict Judge Analytics case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (judge_id, case_type, motion_type, jurisdiction). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Judge Analytics. Key fields: judge_id, case_type, motion_type, jurisdiction
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_judge_empowerment ~163

Run a Pillars 11–20 judicial empowerment NLP model for a specific judge. These 160 LLM-powered models assess judicial decision style, empowerment patterns, ruling clarity, cognitive bias, and behavioral tendencies from 2.5M+ case records. Requires a jd_emp_p* model ID (e.g. jd_emp_p11_ruling_clarity).

Input Output Examples

Name	Type	Req	Description
case_facts	object	—	Case context for the empowerment assessment (case_type, jurisdiction, hearing_type, etc.)
judge_id	string	—	Judge identifier string for personalized analysis
model_id	string	yes	NLP empowerment model ID — must start with jd_emp_p (Pillars 11–20). Example: jd_emp_p11_ruling_clarity

No output schema declared.

No examples provided.

splitifi_predict_legal_ethics ~129

Predict Legal Ethics case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (violation_type, bar_jurisdiction, prior_discipline, harm_to_client).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Legal Ethics. Key fields: violation_type, bar_jurisdiction, prior_discipline, harm_to_client
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_litigation ~129

Predict Litigation Analytics case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (case_type, court_level, amount_in_controversy, discovery_complexity).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Litigation Analytics. Key fields: case_type, court_level, amount_in_controversy, discovery_complexity
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_personal_injury ~139

Predict Personal Injury case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (injury_type, liability_clarity, medical_costs, lost_wages, insurance_limit, fault_percentage).

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Personal Injury. Key fields: injury_type, liability_clarity, medical_costs, lost_wages, insurance_limit, fault_percentage
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_real_estate ~128

Predict Real Estate case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (transaction_type, property_value, contract_dispute, title_issues). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Real Estate. Key fields: transaction_type, property_value, contract_dispute, title_issues
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_securities ~128

Predict Securities / Finance case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (violation_type, transaction_volume, materiality, disclosure_failures). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Securities / Finance. Key fields: violation_type, transaction_volume, materiality, disclosure_failures
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_sports_entertainment ~134

Predict Sports / Entertainment case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (contract_type, dispute_nature, contract_value, league_rules_applicable). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Sports / Entertainment. Key fields: contract_type, dispute_nature, contract_value, league_rules_applicable
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

splitifi_predict_spousal_support ~72

Predict spousal support (alimony) likelihood, duration, and amount range based on jurisdiction guidelines and case facts.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	marriage_length_years, income_higher, income_lower, standard_of_living, childcare_responsibilities
jurisdiction	string	yes	—

No output schema declared.

No examples provided.

splitifi_predict_tax ~130

Predict Tax case outcome using ML models trained on 30.3M court records. Provide jurisdiction and case_facts (tax_type, years_involved, amount_owed, audit_trigger, compliance_history). Requires premium add-on.

Input Output Examples

Name	Type	Req	Description
case_facts	object	yes	Case details for Tax. Key fields: tax_type, years_involved, amount_owed, audit_trigger, compliance_history
judge_id	string	—	Optional — judge ID for judge-specific modifier
jurisdiction	string	yes	State/province/country code, e.g. "TX", "CA", "ON"

No output schema declared.

No examples provided.

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