# Chargebacks911

*/Startups/Chargebacks911*

## Startup Overview

This dispute resolution engine automates chargeback representment by compiling compelling evidence packets. It intercepts dispute notifications, retrieves transaction histories, and formats the data to meet exact card network requirements. The system submits responses directly to issuing banks without manual review.

High-volume merchants consistently lose revenue to friendly fraud because they lack the bandwidth to fight every claim. Manual in-house dispute teams rarely process complex evidence within tight bank submission windows, resulting in automatic forfeitures. By completely automating evidence assembly, merchants contest every invalid chargeback without adding operational headcount.

Legacy dispute platforms like Midigator or Justt often lock merchants into specific processors or charge high fixed software fees. In contrast, this architecture is entirely source-agnostic, ingesting transaction data across any combination of payment gateways. It operates on a pure success model, priced entirely on recovered revenue so merchants only incur costs when funds are successfully returned.

## Startup Founding Hypothesis

**Approach**: that compiles compelling evidence packets for automated chargeback representment
**Competitors**:
- [Midigator](/Competitors/Midigator)
- [Justt](/Competitors/Justt)
- [In-house dispute teams](/Competitors/In-house_dispute_teams)
**Differentiator2x2**: source-agnostic across payment gateways and priced entirely on recovered revenue

## Startup Solution Coordinate

**Solution**: [Chargeback Recovery Service](/Services/Chargeback_Recovery_Service)

## Startup Position2x2

```mermaid
quadrantChart
    title Chargeback Representment Position
    x-axis Tied to Processor --> Gateway Agnostic
    y-axis Fixed Cost / Software Fee --> Fully Performance-Based
    quadrant-1 Pure Recovery Partners
    quadrant-2 Niche Contingency
    quadrant-3 Manual Overhead
    quadrant-4 Enterprise SaaS
    Midigator: [0.85, 0.35]
    Justt: [0.78, 0.82]
    In-house dispute teams: [0.15, 0.20]
    Chargebacks911: [0.90, 0.88]
```

## Startup Offer

**Proof**:
- Targeting a 65%+ win rate on friendly fraud claims for mid-market digital merchants
- Aiming to reduce in-house manual dispute management hours to zero
- Targeting under 12-hour automated response times from initial chargeback notification to evidence submission
**Tiers**:
- Name: Standard Recovery · Price: ~18%–25% of recovered funds · Inclusions: Automated evidence compilation and gateway-agnostic representment for standard merchant volume, billed strictly upon a successful dispute win.
- Name: High Volume · Price: ~10%–15% of recovered funds · Inclusions: Custom webhook ingestion and unlimited automated dispute representment for merchants processing high transaction volumes, billed exclusively on successful recovery.
**Guarantee**: If the chargeback is not reversed in your favor, you pay nothing. Fees are assessed strictly on the actual revenue successfully recovered and settled back to your merchant account.
**Business Function**: ProvideService
**Objection Handlers**:
- We already use our payment gateway's built-in dispute tool. -> Gateway tools only cover their own platform; this is designed to aggregate disputes across all your processors (e.g., Stripe, Braintree, PayPal) into one unified pipeline.
- Will you fight legitimate fraud and hurt our merchant standing? -> The platform is designed to accept true fraud claims automatically and only compile evidence packets for reason codes indicative of friendly fraud or fulfillment errors.
- Is the percentage fee too expensive compared to an in-house team? -> You are currently losing 100% of unmanaged chargebacks; paying a percentage solely on net-new recovered revenue guarantees immediate positive ROI without fixed payroll costs.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Forensic and unyielding, prioritizing factual evidence and financial recovery.
**Tagline**: Reclaim lost revenue through automated chargeback dispute packets.
**Icon Concept**: receipt
**Palette Intent**: institutional-cool
**Visual Identity**: The visual identity relies on stark navy blue and crisp white typography to project forensic authority in payment disputes.
**Archetype Reference**: the-hero

## Startup Buyer Chain

**Chain**: Startup → E-commerce Risk Manager → Merchant Finance Department
**Gtm Motion**: Acquires mid-market e-commerce merchants by offering a zero-upfront-cost pilot, taking a percentage of successfully reversed chargebacks. Expands by connecting additional payment gateways and regional store instances to capture a larger share of the merchant's total dispute volume.
**Agent Channel**: Intends to publish its evidence-compilation API to FinOps agent directories and the LangChain tool registry, allowing autonomous revenue-recovery agents to programmatically fetch dispute packets for gateway submission.
**Primary Channel**: Direct outbound campaigns targeting Fraud Operations and Finance Leads at high-volume merchants, alongside intended listings in the Stripe App Marketplace and Shopify App Store for inbound discovery.

## Startup Customer Journey

```mermaid
flowchart LR
A[Fraud Operations Lead] --> B[Pilot Agreement]
B --> C[Payment Gateway]
C --> D[Dispute Evidence Packet]
D --> E[Reversed Chargeback]
E --> F[Multi-Gateway Rollout]
F --> G[Autonomous FinOps Agent]
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day single-gateway pilot: Connect one high-volume payment processor to prove the automated evidence compilation engine achieves a 50% or higher win rate on friendly fraud.
- 60-day multi-gateway rollout: Integrate two distinct payment gateways to demonstrate unified dispute ingestion and validate the zero-manual-intervention claim for the in-house finance team.
**Target Metrics**:
- Target: 65% or greater win rate on friendly fraud and unrecognized transaction claims
- Target: 0 in-house manual dispute management hours required per month
- Aim: Under 12-hour automated response time from initial chargeback notification to evidence submission
- Aim: 100% gateway-agnostic coverage across the merchant payment processing stack
**Target Case Studies**:
- Mid-market digital goods retailer: Target transformation from abandoning 80% of friendly fraud claims to automatically contesting and winning 65% across three disparate payment gateways without adding headcount.
- High-volume subscription SaaS provider: Target transformation from managing disputes manually in Stripe and PayPal separately to unifying representment and recovering revenue previously lost to unrecognized billing claims.
- D2C e-commerce brand: Target transformation from paying full-time analysts for dispute management to fully automated evidence compilation, converting fixed payroll costs into a strictly performance-based recovery model.
**Testimonial Targets**:
- VP of Finance: Sentiment validating that paying a percentage solely on net-new recovered revenue provides immediate positive ROI without the risk of fixed payroll costs.
- Head of Payments: Sentiment praising the platform's ability to seamlessly aggregate disputes from multiple processors into a single automated pipeline.
- Director of Operations: Sentiment highlighting relief that true fraud is correctly accepted while friendly fraud is automatically and successfully contested.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Major payment gateways like Stripe or Adyen restrict API access for third-party dispute management tools or mandate their own proprietary representment workflows. · Mitigation Status: unmitigated
- Severity: high · Description: Visa or Mastercard enacts a sudden structural overhaul of chargeback reason codes and evidence requirements, temporarily breaking the automated packet compiler. · Mitigation Status: in-progress
- Severity: high · Description: The success-based pricing model creates a severe cash flow deficit due to the 30-to-90-day latency in card network dispute resolution cycles. · Mitigation Status: in-progress
- Severity: moderate · Description: Standardized evidence compilation yields poor win rates for digital goods and services where fulfillment proof is highly subjective compared to physical shipping data. · Mitigation Status: in-progress

## Startup Competitors

- [Midigator](/Competitors/Midigator) — Direct Competitor
- [Justt](/Competitors/Justt) — Direct Competitor
- [In-House Dispute Teams](/Competitors/In-House_Dispute_Teams) — Status Quo
- [Chargehound](/Competitors/Chargehound) — Automated Representative
- [Kount](/Competitors/Kount) — Incumbent Platform

## Startup Solution Stack

- [Dispute Representment Service](/Services/Dispute_Representment_Service) — Service-as-Software
- [Evidence Compilation Agent](/Agents/Evidence_Compilation_Agent) — Agent
- [Representment Submission Worker](/Agents/Representment_Submission_Worker) — Agent
- [Gateway Ingestion API](/Software/Gateway_Ingestion_API) — Software
- [Rule Formatting Engine](/Software/Rule_Formatting_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the profit-protector who stops leaks, not the victim of clerical theft
- **Want**: to recover lost revenue from friendly fraud chargebacks across all payment gateways
- **Identity**: the risk manager at a mid-market digital merchant
**Plan**:
- Step: Submit gateway access · Detail: Grant access to your merchant accounts so the system can ingest chargeback notifications automatically.
- Step: Confirm evidence triggers · Detail: Set your rules for which reason codes trigger an automated representment packet.
- Step: Review recovered revenue · Detail: Monitor the dashboard as funds are settled back to your account from won disputes.
**Guide**:
- **Empathy**: Margins are won in the representation window — but manual teams can't gather delivery logs and TOS agreements fast enough to beat the bank's clock.
**Problem**:
- **Villain**: friendly fraud
- **External**: Manually compiling evidence packets across Stripe, Braintree, and PayPal takes hours of staff time only to result in a 20% win rate.
- **Internal**: You feel powerless as customers keep the product and the money while you pay the fines.
- **Philosophical**: Hard-earned revenue belongs in the merchant account, not in the pockets of opportunistic disputers.
**Success**: Every friendly fraud claim is met with a forensic evidence packet, driving win rates toward 65% with zero manual effort.
**One Liner**: Every month, digital merchants lose thousands to friendly fraud. Chargebacks911 compiles forensic evidence packets so you reclaim lost revenue with zero manual work.
**Positioning**:
- **So That**: recover lost revenue without paying fixed payroll costs
- **Unlike**: in-house dispute teams
- **For Whom**: mid-market digital merchants
- **Category**: Automated chargeback representment service
**Call To Action**:
- **Direct**: Submit a dispute
- **Transitional**: Download recovery report sample
**Failure Stakes**:
- Lost revenue from uncontested claims
- Increased processing fees from high dispute ratios
- Wasted payroll on manual paperwork
**Transformation**:
- **To**: securing the bottom line instead of losing to fraud
- **From**: a clerk chasing lost receipts in Stripe
**Controlling Idea**: Recovering stolen revenue should be automated, not a manual burden.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every month, digital merchants lose thousands to friendly fraud. Chargebacks911 compiles forensic evidence packets so you reclaim lost revenue with zero manual work.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 80eb546e58484461

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Automated chargeback representment service for mid-market digital merchants. Unlike in-house dispute teams — recover lost revenue without paying fixed payroll costs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: a89addac66d70d2c

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Manually compiling evidence packets across Stripe, Braintree, and PayPal takes hours of staff time only to result in a 20% win rate.
Solution: Every month, digital merchants lose thousands to friendly fraud. Chargebacks911 compiles forensic evidence packets so you reclaim lost revenue with zero manual work.
Customer: mid-market digital merchants
Unlike: in-house dispute teams
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 091e7fb4f5102593

## Startup Token M E D D P I C C

**Pain**: Manually compiling evidence packets across Stripe, Braintree, and PayPal takes hours of staff time only to result in a 20% win rate.
**Metrics**: Target: Every friendly fraud claim is met with a forensic evidence packet, driving win rates toward 65% with zero manual effort.
**Rendered**: Pain: Manually compiling evidence packets across Stripe, Braintree, and PayPal takes hours of staff time only to result in a 20% win rate.
Economic buyer: E-commerce Risk Manager
Metrics: Target: Every friendly fraud claim is met with a forensic evidence packet, driving win rates toward 65% with zero manual effort.
Competition: in-house dispute teams
**Mechanism**: spine-derived-v1
**Competition**: in-house dispute teams
**Economic Buyer**: E-commerce Risk Manager
**Vocab Fingerprint**: d96c6bb8b4c7b9bb

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Automated chargeback representment service for mid-market digital merchants

mid-market digital merchants — Manually compiling evidence packets across Stripe, Braintree, and PayPal takes hours of staff time only to result in a 20% win rate. Every month, digital merchants lose thousands to friendly fraud. Chargebacks911 compiles forensic evidence packets so you reclaim lost revenue with zero manual work.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 0c5ee5109ff244d3

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Automated chargeback representment service. Every month, digital merchants lose thousands to friendly fraud. Chargebacks911 compiles forensic evidence packets so you reclaim lost revenue with zero manual work. Serves mid-market digital merchants.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 407bcc96dccb4232

## Neighborhood

### What it offers

- [Chargeback Recovery Service](/Services/Chargeback_Recovery_Service) — offers · Services

### Composed of

- [Dispute Representment Service](/Services/Dispute_Representment_Service) — composes · Services
- [Evidence Compilation Agent](/Agents/Evidence_Compilation_Agent) — composes · Agents
- [Representment Submission Worker](/Agents/Representment_Submission_Worker) — composes · Agents
- [Gateway Ingestion API](/Software/Gateway_Ingestion_API) — composes · Software
- [Rule Formatting Engine](/Software/Rule_Formatting_Engine) — composes · Software

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Competitors

- [Kount](/Competitors/Kount) — competes with · Competitors
- [Chargehound](/Competitors/Chargehound) — competes with · Competitors
- [Midigator](/Competitors/Midigator) — competes with · Competitors
- [Justt](/Competitors/Justt) — competes with · Competitors
- [In-House Dispute Teams](/Competitors/In-House_Dispute_Teams) — competes with · Competitors

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