Alternatives
Products that do what NOP Intel does
Evidence-linked token risk intelligence
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Hi All, I released an EVM/Solidity decompiler recently, here: http://www.eveem.org/ Since it uses symbolic execution underneath, the results are quite awesome. There is also an api that delivers a .json / middle language representation of every contract here: http://eveem.org/code/{{address}}.json The plan is to open-source it as soon as I clean up the code a bit. Spent the last two month crunch-time to get it delivered from scratch :)
2018
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2018 · github.com
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2017 · ellcrys.co
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2017 · tool.smartdec.net
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2016 · kadena.io
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2017 · crowdsale.express
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Abstract. Token-funded bounties to incentivize competition-style participation in blockchain development projects would result in wider and better allocation of investment, and allow investors to diversify exposure across a field of potentially successful projects. Overall this would increase the rate of progress within development of the blockchain space. We propose a centralised platform for the administration of token-funded bounty driven development projects whereby experts allocate pools of invested capital according to the technical merits of development projects, and investors are…
2017
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I built a MCP server using the Typescript SDK that wraps around the JSON RPC methods for EVM Blockchains. Without any extra documentation the LLM is able to interact with the EVM blockchain even through a complex series of requests. To get going, just add the following command to your MCP client of choice (e.g. Cursor) - npx -y ethereum-rpc-mpc [Optional: RPC_URL] It works out of the box with any EVM chain. Example usage with Claude: "What's the ETH balance of 0x742d35Cc6634C0532925a3b844Bc454e4438f44e?" "Is 0x6B175474E89094C44Da98b954EedeAC495271d0F a smart contract?" "Is…
2025 · github.com
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Hi hacker news, My name is Dillion and I'm the creator of llm.report. A few months ago, I was frustrated by the lack of observability into the OpenAI API. All of us are left in the dark about API performance, latency, cost calculation, cost breakdown, and more. I just wanted to know more about how my AI app is performing in production and make data-driven decisions to improve the product. So I ended up just building it myself. There are three parts to the platform: 1. OpenAI API Dashboard (no-code) - Enter your OpenAI key and get access to detailed insights straight from the OpenAI API…
2023 · github.com
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Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…
2024 · viewpointhq.com
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