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SPECIFICTION
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Disputed.ai

disputed.ai

WebAPI
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Spec score 7.2 #18 of 28 in Chargeback Management Software

What it is

Disputed.ai is a chargeback intelligence platform for medium to large-scale enterprise fraud teams. It helps teams decide which disputes to contest, explain why winnable disputes are lost, and examine upstream product or policy changes that could reduce chargebacks. The service surfaces organized-abuse patterns across disputes, identities and payment cards. Its case workflow includes a queue ordered by deadline and model confidence, evidence packages prepared before opening a case, and a root-cause panel. Users can view each decision with its case and override it. Disputed offers representment automation, an evidence builder, headless API and MCP access, self-managed tooling, or a fully managed service. Listed processor integrations are Stripe, Adyen, PayPal, Braintree and Chase. It runs through web and API access, with pricing on request and an Enterprise plan using a fixed platform fee plus per-dispute pricing.

Spec sheet

Purpose
Disputed is a chargeback intelligence platform for medium to large-scale enterprise fraud teams.Read 9 Oct 2026 · disputed.ai
Deployment
Disputed offers headless API and MCP access, self-managed tooling, and a fully managed service.Read 9 Oct 2026 · disputed.ai
Integrations
Disputed describes integrations with payment processors that synchronize disputes, evidence, and outcomes, but does not name specific processors on the page.Read 9 Oct 2026 · disputed.ai
Security
The site states that Disputed is SOC 2 Type II certified and GDPR-ready.Read 9 Oct 2026 · disputed.ai
Support
Disputed says it responds to contact inquiries within one business day.Read 9 Oct 2026 · disputed.ai
Headquarters
Portland, OregonRead 28 Sep 2026 · disputed.ai
Abuse detection
The platform surfaces patterns of organized abuse across disputes, identities, and payment cards.Read 9 Oct 2026 · disputed.ai
Access controls
Disputed describes granular role-based permissions and SSO via SAML 2.0 or OIDC, including Okta, Azure AD, and Google Workspace.Read 9 Oct 2026 · disputed.ai
Case tools
The product page describes a dispute queue sorted by deadline and model confidence, evidence packages drafted before a case is opened, and a root-cause panel.Read 9 Oct 2026 · disputed.ai
Dispute analysis
The platform helps teams identify which disputes to fight and why they are losing disputes they should be winning.Read 9 Oct 2026 · disputed.ai
Encryption
The site says data is encrypted in transit with TLS 1.3 and at rest with AES-256, with keys rotated quarterly.Read 9 Oct 2026 · disputed.ai
Intended customers
The company says its platform is designed for large merchants, marketplaces, and SaaS platforms.Read 9 Oct 2026 · disputed.ai
Prevention
Disputed analyzes upstream product and policy changes that could prevent chargebacks.Read 9 Oct 2026 · disputed.ai
Service level
The site states a contractual 99.9% uptime SLA and 24/7 on-call engineering coverage.Read 9 Oct 2026 · disputed.ai
Transparency
Disputed says users can see each decision alongside its case and override it.Read 9 Oct 2026 · disputed.ai

Plans and prices

Enterprise Priced on request Fixed platform fee plus per-dispute pricing; contact for a proposal. For medium to large-scale enterprise fraud teams Read 9 Oct 2026 · disputed.ai

Every Disputed.ai plan and price →

Strong points and limits

Strong points

  • Queue sorted by deadline and model confidence
  • Evidence packages drafted before cases open
  • Patterns of organized abuse are surfaced
  • Stripe, Adyen, PayPal, Braintree and Chase integrations
  • SOC 2 Type II and GDPR-ready

Limits

  • Pricing requires a proposal
  • Designed for medium to large-scale teams
  • Processor list may not cover every setup

Who it suits

It suits large merchants, marketplaces, SaaS platforms and enterprise fraud teams managing substantial dispute volumes.

Verdict

Disputed.ai combines dispute analysis, prevention insights, abuse detection and case tooling for enterprise fraud operations. Its API, MCP, self-managed and managed deployment choices provide different implementation paths, while pricing is supplied on request.

Where Specifiction places it

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