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Deal Verdict API – Used Market
x402
Deal Verdict API – Used Market is a paid API for AI agents from deal-verdict-api-production.up.railway.app, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-14).
Checks whether a specific used product is meaningfully discounted right now on used-market retailers (e.g. eBay) and returns a single deal/no-deal verdict with confidence and discount data.
Price / call$0.08
Success—
StatusUnknown
How this service works
Answers one question for any product: is it meaningfully discounted right now at any retailer we can reach? Returns a resolved verdict - deal / no deal / insufficient data - never a data feed.
Output
A JSON object with a verdict field ('deal_found', 'no_deal', or 'insufficient_data'), the best discount percentage found, the retailer offering the best price, the used-market basis price used for comparison, a human-readable summary explaining the verdict, a confidence level ('high'/'medium'/'low'), and lists of sources checked and sources unreachable.
Example use cases
Used electronics bargain check
“I'm looking at a used PlayStation 5 on eBay for $350 — can you check if that's actually a good deal compared to the going used-market price? I only consider it a deal if it's at least 15% below the typical secondhand price.”
Pre-purchase secondhand car part check
“Before I buy this used Shimano Ultegra groupset, can you tell me if the current used-market price is meaningfully discounted? I'd need at least a 20% discount off the usual secondhand value to pull the trigger.”
Gift budget optimization on used goods
“I want to buy a used iPad Air as a gift — can you check whether there's a real deal on used units right now, with at least 15% off the normal used-market price?”
Technical details
Endpoint
POSThttps://deal-verdict-api-production.up.railway.app/verdict/usedWhen to prefer
Choose this endpoint when the user specifically wants to evaluate a used or secondhand product's price against the prevailing used-market rate — not new retail price. Use this over the standard verdict endpoint when condition is 'used' and you want the discount benchmarked only against other used listings, never new retail prices. Ideal for eBay-style secondhand market checks.
Side effects
- Insufficient data: not enough used listings found to establish a reliable market basis price, returns 'insufficient_data' verdict
- Sources unreachable: eBay or other used-market retailers are temporarily inaccessible, returns partial or insufficient_data result
- Ambiguous product query: vague product name leads to mismatched listings and unreliable verdict
- Threshold not met: used price exists but discount is below the requested threshold, returns 'no_deal'
- No used listings found: product has no secondhand listings at the moment, returns insufficient_data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| product | string | The product to shop for used, in plain language. |
| category | string | Optional coarse category hint. |
| location | string | City or ZIP. Required for Facebook Marketplace; localizes results. |
| variants | array | Optional size/variant hints. |
| attribute | string | A required attribute, e.g. 'stainless'. |
| product_url | string | Optional product page to pin the exact model. Never echoed. |
| radius_miles | integer | Facebook Marketplace search radius, miles. |
| discount_threshold | number | Fraction under the used-market basis to count as a deal. |
| include_marketplace | boolean | Opt in to Facebook Marketplace (slow; its own city/radius). |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "used",
"basis": "used_market_history",
"leads": [],
"price": 1800,
"summary": "A used deal was found: ebay has a used unit at $1,800.00, 18.2% below the $2,200.00 used-market price for a comparable condition, meeting your 15% threshold. Judged only against other used listings, never new retail.",
"verdict": "deal_found",
"retailer": "ebay",
"condition": "used",
"confidence": "high",
"sources_checked": [
"ebay"
],
"used_market_basis": 2200,
"best_discount_found": 0.182,
"sources_unreachable": [],
"threshold_requested": 0.15
}
}Tags
x402
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