Not legal or financial advice. An AI chargeback response is a writing and packing ritual, not a substitute for processor docs, network rules, a licensed attorney, or the due date on the dispute. Merchant defense only. It does not coach cardholders on filing chargebacks. No invented win-rate percentages.
A webhook fires. An agent sees a new dispute. One model drafts a denial in thirty seconds. Finance still wants attachments mapped to the reason. The Dashboard clock still ticks. The social object is not "AI said we win." It is a pressure-tested description plus a letterhead pack your agent can call. That is the moment this page is for.
People searching AI chargeback response, AI dispute response, or automated chargeback evidence usually get single-model bots and recovery vendors with guaranteed percentages. Useful starting points. This page is narrower. It treats Pingpong as sequential multi-model review for humans and as callable tools for agents: write the response, mark soft claims, export PDF.
Three doors:
- API for agents - hub for Pingpong as callable tools, easy setup, metered payment, disputes PDF wedge.
- Dispute evidence API -
POST /api/dispute-evidence-pdfreturns branded letterhead PDF bytes. - Win disputes - human CASE MAKER form (first PDF free; Plus $19.99/mo includes 5; extras $12 or 10-pack $99; Pro 25/mo).
Also: Stripe dispute API for Stripe-shaped automation, write your dispute description for the prose ritual, developer docs for contracts. Hub: dispute cases.
Pays for itself: Stripe dispute fees plus lost revenue on one mid-ticket case routinely dwarf Plus and a stack of evidence PDFs. Clearer packs versus fees you already pay when you lose. See Stripe dispute fee. Myths about guaranteed outcomes: chargeback win rate myths.
Brand: Pingpong at pingpongit.com. Not getpingpong.ai. First eligible web review free. Web Plus $19.99/month, Pro $124.99/month. iOS three free, Plus $24.99, Pro $59.99. Start on pingpongit.com. Pricing.
Human path: five models before Submit
Paste dispute ID, reason, order facts, evidence inventory, and due date. Default chain: Grok, then Perplexity, then ChatGPT, then Gemini, then Claude. Later labs catch wrong reason framing, label-created treated as delivered, AVS overstated as identity, and refunds already issued that the draft still fights. Keep survivors. Upload. Submit with margin.
Framing: AI second opinion. Debias: Debias AI. Architecture: Sequential vs parallel AI. Multi-model: Multi-model AI review. Related habit: Catch AI mistakes before you commit.
Agent path: callable tools, not a black-box win bot
1. Read API for agents and developer docs.
2. Shape case JSON (reason code, amount, order facts, evidence inventory, deadline).
3. Run sequential review via chat completions / responses when you want hole-finding on the narrative.
4. Call dispute evidence API (POST https://pingpongit.com/api/dispute-evidence-pdf) with merchantName, disputeId, reasonCode, amount, narrative, evidenceBullets. Optional X-PingPong-Key or Bearer ppk_... for metered agent access.
5. Upload the PDF (and matching files) in Stripe, PayPal, Shopify Payments, or your acquirer before the due date. You still own Submit.
Hard line: agents must not fabricate tracking, deny valid unauthorized claims, or coach consumers. Legitimate merchant defense only.
What this is not
Not a model switcher. Not a parallel debate room. Not a guaranteed recovery percentage. Not consumer chargeback coaching. Not a substitute for the live Dashboard clock. Hole-finding on the packet is the product.
Paste shape (human or agent)
Processor NAME. Dispute ID. Reason code. Amount. Cardholder claim. Evidence inventory with status. Deadline DATE. Ask: write my merchant dispute description, map attachments, flag soft claims, list omissions, outline a letterhead pack. Do not invent proof. Do not invent a win probability. Do not paste full PAN, CVV, bank passwords, or government IDs you are not allowed to store.
When to skip
Skip pocket-change accepts, counsel-owned cases, and clear fulfillment failures you should refund without theater. Save automation for mid-ticket volumes where fee-plus-goods math favors a tight pack every time.
Related
Agentic dispute ops: agentic dispute ops. Subscription merchants: chargeback for subscription merchants. Digital goods merchants: chargeback for digital goods merchants. Agent hub: API for agents. PDF endpoint: dispute evidence API. Stripe automation: Stripe dispute API. Human CASE MAKER: win disputes. Write: write your dispute description. Docs: developer docs. Fee: Stripe dispute fee. Myths: chargeback win rate myths. Threshold: chargeback threshold monitoring. Radar: Stripe Radar and disputes. CE 3.0: Compelling Evidence 3.0. How-to: how to respond to a Stripe dispute. Checklist: chargeback evidence checklist. Deadline: chargeback response deadline. Hub: dispute cases. Buyer-side: before you file a chargeback. Pricing.
Wire the ritual, then Submit on time
Start now: try one free web review on pingpongit.com, generate a pack on win disputes, or call dispute evidence API from your agent. Setup hub: API for agents. Continue on Plus when the chain earns a seat. Or the App Store.
Again: not legal or financial advice. Merchant defense and evidence quality only. No consumer dispute coaching. No win-rate promises.