Agentic Power of Attorney (APOA) – An open standard for AI agent auth

Hacker News

"Buy me a house. Budget $475K. Good school district. Handle it." That's where AI agents are headed. One already bought someone a car last month, negotiating $4,200 off across dealerships via email. Its entire authorization framework was a prompt: "ask me before doing anything consequential." It also sent a confidential email to the wrong person. APOA is the missing infrastructure: an open standard for formally delegating bounded authority to AI agents. Scoped permissions, audit trails, instant revocation, credential isolation. Builds on OAuth 2.1, JWT, ZCAP-LD. Working draft, Apache 2.0. Looking for feedback from anyone building agent infrastructure or working on auth standards. Please poke holes at it!

Visit product View on Hacker NewsFeb 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, agentic · Missing: mac, macos, cursor

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

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