"Pair Parenting" Launches "Child Support Arrears Risk Assessment" Post-Divorce ── AI Judges Enforcement Strength from A to D Based on Agreement Details

Mycat Inc. (Headquarters: Meguro-ku, Tokyo) announced on April 14, 2026, the launch of the "Child Support Arrears Risk Assessment" tool within its post-divorce co-parenting support service "Pair Parenting" (https://pear-ikuji.com). This tool uses AI to assess the risk of non-payment based on child support agreements. By simply inputting details such as the child support amount, the format of the agreement, and the payment schedule, the tool determines the strength of enforcement assurance on a 4-level scale from A to D and provides specific measures to reduce risk.

Tool URL: https://pear-ikuji.com/tools/unpaid-risk

Why "Child Support Agreements" Alone Are Insufficient

According to the Ministry of Health, Labour and Welfare's "National Survey of Single-Parent Households" (FY2021), only 28.1% of mother-headed households are "currently receiving" child support. Even among households with child support agreements, approximately 24.3% responded that they "had an agreement but were not receiving payments" (Source: Ministry of Health, Labour and Welfare "FY2021 National Survey of Single-Parent Households").

Child support is a child's right, and agreeing on an amount at the time of divorce has become widely recognized. However, simply deciding "how much to pay" does not guarantee continued payment. The risk of non-payment varies significantly depending on whether "enforcement mechanisms" such as the format of the agreement (verbal promise, notarized document, etc.), the design of the payment schedule, and the availability of legal recourse in case of non-payment are in place.

With the introduction of joint parental authority in the revised Civil Code, which came into effect in 2026, mechanisms are being established for both parents to be involved in their children's upbringing even after divorce. In line with this change, interest in child support agreements and their enforcement is higher than ever.

Features of the Diagnostic Tool

By simply selecting and inputting the following items, the AI will comprehensively evaluate the risk of non-payment. The process takes approximately 3 minutes.

Input Items

Basic agreement information:

• Monthly child support amount

• Children's age and number

• Payment period (until what age)

• Format of agreement (Verbal promise / Divorce agreement document / Notarized document / Mediation record / Judgment or ruling document)

Enforcement status:

• Presence of a clause for enforcement (for notarized documents)

• Method of specifying the payment account

• Whether arrangements for contact and response in case of non-payment have been made

• Whether a child support guarantee service is being used

• Whether visitation arrangements have been made

Diagnostic Results Output by AI

Based on the input information, the following will be generated:

Overall Risk Rank (A-D)

Rank A (Low Risk): A legally binding document exists, and legal action can be taken promptly in case of non-payment. Cases where the agreement is finalized with a notarized document including an enforcement clause, or a mediation record or judgment/ruling.

Rank B (Slightly Low Risk): A written agreement exists, but additional procedures are required for immediate legal action. Cases where a divorce agreement document exists but has not been notarized.

Rank C (Slightly High Risk): The format of the agreement is weak, or the enforcement mechanism is insufficient. Similar to a verbal promise.

Rank D (High Risk): The child support agreement itself is ambiguous, or there are almost no means of enforcement. Urgent measures are required.

Detailed Analysis of Risk Factors

Displays how each input item individually affects the risk. Specific risk factors are clarified, such as "not notarized," "lacks an enforcement clause," or "response procedure for non-payment is undefined."

Action List for Risk Reduction