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DealPulse Credit Card Rewards Optimizer
x402
DealPulse Credit Card Rewards Optimizer is a paid API for AI agents from dealpulse.theaslangroupllc.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-13).
Finds the credit card that earns the most rewards (cashback, points, or miles) for a given spending category or purchase type
Price / call$0.08
Success—
StatusUnknown
How this service works
Best credit card for a spending category / maximize cashback and points / which card to use. Finds the card that earns the most rewards (cashback, points, miles) for a given spending category and purchase. For shopping and rewards agents.
Output
Returns the credit card that earns the highest reward rate for the specified spending category, including the reward type (cashback, points, or miles), the earn rate, and card name — enabling the agent to recommend the optimal card to use for a given purchase.
Example use cases
Maximize rewards on upcoming vacation flights
“I'm booking a flight to Hawaii next month and want to use the card from my wallet that earns the most miles or points on airline purchases — which one should I use?”
Find best card for restaurant dining rewards
“My partner and I go out to eat at least twice a week — can you tell me which of my credit cards offers the highest earning rate for restaurant purchases so I can build points faster?”
Optimize cashback on everyday online shopping
“I do most of my shopping on Amazon and other online retailers these days — which card should I be using to get the maximum cashback on those purchases?”
Technical details
Endpoint
GEThttps://dealpulse.theaslangroupllc.com/api/deals/cardsWhen to prefer
Use this endpoint when a user wants to know which credit card to use to maximize rewards for a specific type of purchase or spending category. Prefer this over generic financial advice APIs when the goal is concrete card-level reward optimization rather than card comparison for signup bonuses or interest rates.
Side effects
- Unknown or unsupported spending category returns empty results or generic fallback
- Ambiguous category (e.g. 'online' without merchant type) may return suboptimal match
- Card data may be slightly stale if issuer changed reward structure recently
- Payment failure (402) if USDC balance is insufficient
- Rate limiting if too many requests in a short window
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| lang | string | lang |
| category | string | category |
Output
Schema · Response
{
"type": "json",
"example": {}
}Tags
x402
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