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Slicker

Slicker is an AI payments platform with two products. Slicker Analytics harmonizes one-time and recurring payment data across every provider into dashboards, alerts, and an AI analyst that answers plain-English questions about payment performance. Slicker Recovery uses ML-optimized retry timing and smart dunning emails to recover failed subscription payments, then proves ROI with built-in A/B testing before you pay.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T04:15:07.631Z. Cached copy · Source on slickerhq.com

# Slicker

> Slicker is an AI payments platform with two products. Slicker Analytics harmonizes one-time and recurring payment data across every provider into dashboards, alerts, and an AI analyst that answers plain-English questions about payment performance. Slicker Recovery uses ML-optimized retry timing and smart dunning emails to recover failed subscription payments, then proves ROI with built-in A/B testing before you pay.

Slicker Analytics connects to every payment provider a business uses and maps each provider's statuses, decline codes, and field names into one data model. Teams track authorization rates, failure reasons, 3DS, fees, and recovery across markets, payment methods, and gateways, get alerted when acceptance drops below its 60-day normal, and ask the AI analyst questions from the Slicker dashboard or, through Slicker's hosted MCP server, from Claude, ChatGPT, and Copilot.

For recovery, Slicker connects to your existing billing and payment infrastructure with zero engineering required on supported billing platforms. It analyzes payment data and uses machine learning to determine optimal retry timing for each failed payment based on card type, issuer, geography, failure reason, and time of day. For failures where retries alone will not work, it triggers intelligent dunning emails personalized to the specific failure reason with one-click payment update links.

Key differentiator: rigorous AABB statistical testing. Slicker splits failed payment traffic between itself and your current solution, runs the experiment to statistical significance, and only charges if it demonstrably outperforms. Performance-based pricing means you only pay for revenue Slicker actually recovers.

Results: 20% average recovery rate uplift and over 1 million recovered payment failures. Typically live in days: zero engineering on supported billing platforms, your existing payment rails, a traffic slice you choose, and ROI proven before commitment.

- Website: https://www.slickerhq.com
- Contact: https://www.slickerhq.com/contact

## Features

- [Analytics](https://www.slickerhq.com/features/analytics): Payment analytics product that harmonizes one-time and recurring payment data across providers, with KPI dashboards by market, payment method, and gateway, plus an AI assistant that turns plain-English questions into reports. Includes acceptance alerts against each segment's 60-day baseline and a hosted MCP server for Claude, ChatGPT, and Copilot
- [Slicker MCP docs](https://docs.slickerhq.com/mcp/overview): How to connect the hosted Slicker MCP server to an AI assistant, sign in with OAuth, and query payment analytics and alerts
- [Smart Retries](https://www.slickerhq.com/features/retries): ML-optimized payment retry timing based on decline codes, card types, issuer patterns, and time of day
- [Dunning Emails](https://www.slickerhq.com/features/emails): Personalized failed-payment emails decoupled from retries, with branded one-click payment update pages
…

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