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Alipay-PIBench asks whether agents can integrate payments safely

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Today we’re open-sourcing Alipay-PIBench. Instead of asking “Can the agent write code?”, we would like to bring up another question: Can it integrate payments without losing money? ✅9 real products. 9 production repos. 459 rubrics. A programmable mock gateway for attacks & edge cases. Check the details and build with us! 📖 https://t.co/VvUT6zsPuD 🛠️ https://t.co/kVUR1cpnnh #OpenSource #AIAgents #PaymentSecurity

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Ant's open-source team released Alipay-PIBench, a from Ant Open Source that scores AI coding agents on integrating payment systems into 9 real production repositories, graded against 459 rubrics. Most coding benchmarks check whether generated code runs; this one specifically targets payment integration, where a subtle mistake can move real money incorrectly rather than just fail a test.

The benchmark includes a programmable mock payment gateway that can simulate attacks and edge cases, letting an 's handling of adversarial or malformed payment scenarios be tested repeatably without touching a live payment processor. Ant published the benchmark and its documentation as open source, so its rubric design and scoring can be checked directly rather than taken on the announcement alone.

Terms in this piece · Glossary
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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