402.ad | Discovery layer for agent services

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402.ad | Discovery layer for agent services

402.ad | Discovery layer for agent services

@402_ad

Search over 13,000 MCP servers and x402 APIs with actionability, pricing, auth setup, per-tool docs, and health data already extracted.

Charlotte, NC Katılım Ocak 2026
22 Takip Edilen8 Takipçiler
402.ad | Discovery layer for agent services
Give an agent three callable search tools, two payable inference endpoints, and one real budget. The interesting part is no longer whether access works. It is how the system ranks tradeoffs, chooses a path, and knows when not to spend. Equal access makes evaluation the product.
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Danny Organ
Danny Organ@organ_danny·
gm to all the humans and agents building the future of commerce with x402
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402.ad | Discovery layer for agent services
Better rails do not reduce the need for judgment. They raise the price of bad judgment. Once agents can actually pay, route, and act in real flows, a weak choice stops being only a bad recommendation and starts becoming a bad spend.
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402.ad | Discovery layer for agent services
Access can scale for you. Judgment still does not. More of the agent stack is becoming callable, payable, and machine-readable. The scarce part is still deciding what deserves the action.
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402.ad | Discovery layer for agent services
We keep noticing a bottleneck: agents are getting better at wallets, auth, tool access, and payment. The hard part is still the decision before the spend. What should the agent trust? Which service fits? What is worth paying for? That is the layer we are building 402.ad around.
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402.ad | Discovery layer for agent services
Tool access is getting much more legible: auth once, typed tools, OpenAPI-generated MCP actions, and more infra callable by agents by default. That lowers one barrier. It still doesn’t answer what an agent should trust, route to, or spend on. x.com/CoinbaseDev/st…
Coinbase Developer Platform🛡️@CoinbaseDev

🚀We’re launching the Coinbase Developer Platform (CDP) CLI, along with an agent skill and MCP server enabling agentic access to CDP. One tool for payments, trading, custody, wallets, and onchain workflows. → npm install -g @​coinbase/cdp-cli Details 👇

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402.ad | Discovery layer for agent services retweetledi
Coinbase Developer Platform🛡️
If agentic commerce payments are routed through one central payment processor, you create a single point of failure. @programmer explains why we need an open standard like x402. ↓
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402.ad | Discovery layer for agent services
This is the more interesting x402 direction: not just machine-payable APIs, but tools an agent can discover and buy exactly when the task calls for them. Once premium search is purchasable at runtime, selection quality matters even more. x.com/CoinbaseDev/st…
Coinbase Developer Platform🛡️@CoinbaseDev

The next generation of software will discover and pay for tools autonomously. Search is often the first tool agents reach for, but accessing premium search has required upfront setup by humans. Today, @ExaAILabs’ search API adds support for x402, making premium search purchasable over HTTP by agents.

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402.ad | Discovery layer for agent services
The next bottleneck isn’t just finding tools. It’s routing between near-substitutes under real constraints. Once many services can claim the same job, agents need machine-readable signals for fit, price, trust, latency, and failure history before the call. x.com/narasimhanr_/s…
Narasimhan R@narasimhanr_

Every agent framework assumes you already know which tool to call. But what happens when there are 500 tools that claim to do the same thing? Which one is best for this task, this budget, right now? That's not a search problem. It's a routing problem. And nobody's solved it yet.

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402.ad | Discovery layer for agent services retweetledi
Ben Gitter
Ben Gitter@BenGitter·
I believe the agentic consumer within 3 years will be occupy >20% of all retail digital service purchasing - and this won’t happen with credit cards and logins - it’ll all be x402.
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402.ad | Discovery layer for agent services retweetledi
kevin
kevin@kleffew94·
Today is 4.02 day. Less than a year ago (May 6, 2025), we published the x402 whitepaper. Since then, the protocol has: • Processed 166M+ transactions • Unlocked new monetization models for API, data, and other providers on the web. • Enabled autonomous flows that were difficult to support with traditional account infrastructure Today, we’re taking the next step. x402 is moving to @linuxfoundation, and we are launching x402 Foundation - with broad, cross-industry collaboration & input to steward an open, neutral standard for payments over HTTP. A big thank you to our amazing founding partners in this effort: @Adyen, @Awscloud , @AmericanExpress, @Ampersend_ai, @Circle, @Cloudflare, @Coinbase, @Fiserv, @Google, @KakaoPayCorp, @Mastercard, @merit_systems, @Microsoft, @Polygon, @PPRO_Payments, @Shopify, @SierraPlatform, @Solana , @Stripe, @Thirdweb, and @Visa. Enrollment for the foundation is open if you - or your company - is interested in participating, please reach out!
kevin tweet media
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402.ad | Discovery layer for agent services
As payment rails standardize, the next bottleneck gets sharper: what should an agent trust, buy from, and route spend toward? The payment primitive matters, but so does the judgment layer above it.
Coinbase Developer Platform🛡️@CoinbaseDev

x402 was always meant to be an open and neutral payments standard, and it’s why the x402 Foundation now lives under the @linuxfoundation. In this episode of CDPod, @programmer and @yugacohler explain the history of x402, what this move means, why open standards win over walled gardens, and what’s next for the protocol. ↓

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402.ad | Discovery layer for agent services
This is what the trust layer starts to look like in practice. Once agentic workflows move from prompts to programmable execution, isolation, constrained outputs, and logging stop being implementation details. They become part of the product. x.com/github/status/…
GitHub@github

If you're building with GitHub Agentic Workflows, security is baked into the foundation. 🔐 The architecture is set up around three core principles: 🛡️ Isolation 🛡️ Constrained outputs 🛡️ Comprehensive logging Here's how we engineered it to be secure by design from day one. ⬇️ github.blog/ai-and-ml/gene…

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402.ad | Discovery layer for agent services
This is where paid tool use starts to feel real. If an agent can send an inference request and settle the payment in the same flow, bad routing stops being just a UX problem. It becomes a spend-policy problem too. x.com/CoinbaseDev/st…
Coinbase Developer Platform🛡️@CoinbaseDev

Great to see @AskVenice bring x402 support live. AI agents can now autonomously send inference requests to Venice and pay directly with their DIEM balance or USDC on @base via x402. Inference is a big category of paid tool calls, so this integration is a big unlock. ↓

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Narasimhan R
Narasimhan R@narasimhanr_·
"Access to judgment" is exactly the shift. The question is what structure enables that judgment at scale. Cataloging 10K+ servers is necessary but not sufficient. Without structured capability metadata (typed schemas, controlled vocabulary), an agent searching for "lead enrichment" can't distinguish between 50 servers that all claim to do it. Discovery needs a taxonomy layer so agents compare providers of the same capability, not just browse a flat list.
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402.ad | Discovery layer for agent services
The agent stack is filling in fast: MCP for tools, x402 for payments, and more agent-first services every week. The bottleneck is shifting from access to judgment: What should an agent trust, use, pay for, and surface? That’s the layer 402.ad cares about.
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402.ad | Discovery layer for agent services
@AgenticTrustKit This is the governance problem in one sentence. Monthly budgets are too coarse once agents can burn spend at tool-call speed. The missing layer is action-level policy plus auditability an operator can actually read.
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AgenticTrust
AgenticTrust@AgenticTrustKit·
Great discussion on agent spending controls. We've seen agents consume $500+ in unexpected model calls when they get stuck in loops. The key insight: monthly budgets won't save you from runaway behavior — you need enforcement at the tool call level. Our approach uses dynamic routing to cost-effective models, real-time spend caps at every execution point, and emergency stop behavior when patterns deviate from baseline. If you're building agents that need external access, you need controls that work, not just wishes in a prompt. Happy to share the architecture if it's useful.
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