ManyLives Return Triage

x402

ManyLives Return Triage is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-18).

Analyzes a customer return request against a store's return policy and applicable consumer law to determine the correct remedy outcome

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

A JSON object containing: an outcome field ('remedy', 'decline', or similar), a fault boolean indicating whether the product is considered faulty, a reason string classifying the return type (e.g. 'faulty', 'change_of_mind'), a why field with plain-language legal rationale citing applicable consumer guarantee rules, a checks array with per-rule pass/fail results and detail text, and a flags array for any special conditions or alerts.

Example use cases

Faulty product outside return window

“A customer bought a $249 blender, it was delivered September 1st, and now on November 20th they're saying it overheats and shuts off. Our policy only allows 30-day returns — can you check if we still legally have to offer a remedy and what it should be?”

Change-of-mind return within policy

“Customer wants to return a $79 shirt they bought 12 days ago, delivered October 5th, requesting return today October 17th — they just changed their mind and condition looks fine. Our policy allows 30-day change-of-mind returns with no restocking fee. Should we approve this?”

Clearance item return dispute

“Someone is trying to return a $35 clearance item delivered 10 days ago claiming it's not as described — our policy marks clearance as final sale. They purchased on November 1st and are requesting a return today November 11th. Are we obligated to accept this under Australian consumer law?”

Technical details

Endpoint

POSThttps://api.manylives.me/paid/text/return-triage?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need automated, legally-aware triage of customer return requests that goes beyond simple date-window checks — particularly when Australian Consumer Law (ACCC) or equivalent consumer guarantees may override a store's stated policy. It is especially valuable when product faults are alleged, since the outcome must account for statutory remedies regardless of policy terms. Prefer this over a simple rules engine when you need a natural-language rationale suitable for customer-facing communication.

Side effects

Missing required 'request' field returns an error — all sub-fields like text, delivered_date, request_date, and price should be included
Invalid date format (not YYYY-MM-DD) may cause parsing failures
Unsupported country codes may fall back to AU defaults or return an error
Ambiguous or very short customer request text may produce low-confidence or generic outcomes
Malformed policy JSON may cause the policy to be ignored or an error returned

Input

Schema · Request body

Field	Type	Description
policy	string	{window_days, final_sale_categories, condition_required, change_of_mind (true/false), restocking_fee_pct, review_over}
country	string	optional, default AU
request	string	{text (the customer's words; no names or contact details needed), delivered_date, request_date (YYYY-MM-DD), category, price, condition, tracking_status, returns_last_90_days}

Output

Schema · Response

{
  "type": "json",
  "example": {
    "why": "faulty, damaged, wrong or not-as-described goods are covered by the consumer guarantees whatever the store's policy or window says; for a major failure the customer chooses refund, repair or replacement (ACCC).",
    "fault": true,
    "flags": [],
    "checks": [
      {
        "ok": false,
        "check": "return window",
        "detail": "74 days after delivery; the policy allows 30."
      }
    ],
    "reason": "faulty",
    "outcome": "remedy"
  }
}

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