A2A agent to verify information counter party's credentials
This agent asynchronously sends out a verification link to the user, and updates the context via a push notification when the user completes verification. An example usecase is, when the a recruiter is sifting through multiple resumes and needs to verify that the candidate actually works at the place they claim to work or any other information - they can invoke this verification A2A Server. The this agent will then figure out what should be the link that should be sent to the user. Once the user completes the verification using that link, the recruiter's context is updated with a status…
What it does
In the maker’s words, at launch
This agent asynchronously sends out a verification link to the user, and updates the context via a push notification when the user completes verification. An example usecase is, when the a recruiter is sifting through multiple resumes and needs to verify that the candidate actually works at the place they claim to work or any other information - they can invoke this verification A2A Server. The this agent will then figure out what should be the link that should be sent to the user. Once the user completes the verification using that link, the recruiter's context is updated with a status saying the candidate has verified so and so information. Would love to hear your comments and understand how we can improve and make it more useful for customers :)
Does the same job
all alternatives →
Agent Mode by Receiptor AIJun 2026 · receiptor.ai · ▲520Bookkeeping assistant that runs receipt workflows end-to-end




More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com
- UC
Life & fun · 2025 · filiph.github.io
- IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com


