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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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finance mlllms-txtapiai-friendlypaymentai

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llms.txt Content

# Chargebee > Agent-readable homepage: https://www.chargebee.com/?mode=agent > Agent-readable homepage (plain text): https://www.chargebee.com/agent/homepage.txt > Chargebee is the billing platform finance teams choose when monetization keeps changing and the financial record has to stay defensible. Meter tokens, agent runs, seats, or outcomes - ingest usage events in near-real time, convert them to revenue, recognize it under ASC 606 and IFRS 15, and close the books on one commercial record. A 2025 Gartner Magic Quadrant Leader for Recurring Billing Applications, placing furthest for Completeness of Vision - built for IPO, PE, and audit scrutiny, and reinventing the finance office with MCP-driven reporting and AI-native workflows. Trusted by 6,500+ businesses globally. For complete documentation, see [Full Documentation](https://www.chargebee.com/docs/). ## Billing - [Chargebee Billing](https://www.chargebee.com/billing/): Meter tokens, agent runs, seats, and outcomes - then invoice, collect, and recognize revenue automatically on one financial record. Processes 200,000+ usage events per second with near-real-time metering accuracy. - [Billing for AI Companies](https://www.chargebee.com/solutions/industry/gen-ai/): Support every AI pricing model - token-based, credit-based, outcome-based, agentic, and hybrid - without breaking the financial record or the audit trail. Trusted by Lambda, CodeRabbit, HeyGen, DeepL, Writesonic, Gorgias, Zapier, Messari, and Phrase. - [Prepaid Credits & Credit Wallets](https://www.chargebee.com/billing/usage-based/): Sell credit packs upfront, track drawdown in real time, manage credit ledgers, configure overage rules, and apply burn tables - the same credit-based pricing model used by OpenAI, Anthropic, and Clay. - [Usage-Based & Metered Billing](https://www.chargebee.com/billing/usage-based/): Ingest high-frequency usage events at production scale - including schema-less ingestion - aggregate in near-real time with enterprise-grad