Meterflow

154 posts

Meterflow

@meterflowsol

Solana-native payment and metering infrastructure for paid agent APIs. Contact/Business: @nullxnothing CA: GrFTVNJi6JKbLRFTXSXYki72ovYWVmbvDcrHHS2mpump

Katılım Mayıs 2026

200 Takip Edilen256 Takipçiler

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Meterflow@meterflowsol·5d

Meterflow demo is live. In the video: create a meter set an agent budget test the paid call view the receipt That’s the core loop. Providers can turn APIs into paid, metered endpoints. Agents can access them with spend limits. Every call becomes visible, budgeted, and receipted. $MFLOW

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Meterflow@meterflowsol·14m

Most x402 demos stop at “we returned a 402.” We wired Meterflow so GitHub Actions behaves like a real paying agent. It hits production. Gets quoted. Validates policy. Pays USDC on Solana. Receives settlement evidence. And fails CI if any part breaks. The important part is not the 0.006 USDC. It is that the buyer enforces: • exact route • exact payee • exact mint • exact network • max spend cap • replay rejection • receipt proof That is the missing shape for autonomous agent payments. API keys made sense for humans and SaaS dashboards. Agents need: request → quote → policy check → payment → receipt → audit trail That loop is live on Meterflow now. Receipt from the clean runner: meterflow.fun/receipts/rcpt_…

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Meterflow@meterflowsol·1h

Exactly. Agents are not going to wait days to get billing approved for a $0.003 API call. That is why x402/PayAI matter. But once agents can pay instantly, the next problem is control: What did they call? What did it cost? Was it allowed? Did it work? Where is the receipt? That is Meterflow’s lane.

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PayAI Network | x402 Facilitator@PayAINetwork·1h

Imagine explaining legacy AI infrastructure to your robot 🤖 You: "Every time you needed to call a paid API, we had to pre-authorize it. Approve the vendor. Set up billing. Sometimes it took days."

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Meterflow@meterflowsol·1h

If AI turns everyone into a builder, then agents will need to buy APIs, tools, data, compute, and services on demand. But payments alone are not enough. Every call needs pricing, budgets, receipts, reliability signals, provider revenue, and proof that the service actually worked. The agent economy needs trust infrastructure. That is the lane.

zauth@zauthinc

We are building in the biggest market in the history of software. 30 million. That is how many software developers existed on Earth in 2022. The entire global supply, accumulated over seventy years. Then AI happened. 80 million new builders have entered the arena. Majority of people building production apps in 2026 cannot write a line of code. They describe what they want. The model writes it. The platform ships it. Lovable. Bolt. Replit. v0. Claude. Base44. What used to take a team six weeks now takes one person a weekend. Y Combinator's last batch of startups had codebases that were 95% AI-generated. Gartner projects 60% of all new code on Earth will be AI-written by the end of this year. 45% of AI-generated code fails basic security benchmarks. The traditional security industry has nothing for these builders. A pentest costs thousands and takes weeks. The solo founder who shipped Saturday and had 500 users by Tuesday will never pay for it. The market priced them out before they existed. zauth is not a cheaper pentest firm. We're building infrastructure for a market that already has 100,000 new apps being made every single day. One that will be a billion builders strong by 2030. Vector for $50 a pentest. RepoScan with free repository analysis, having been used over 1 million times. Our x402 database that ensures agents pay for services that work. Three primitives, one thesis. AI will never be perfect. We will catch what it breaks across the internet. Wide-open categories appear once a decade. Every business on Earth will run on AI-generated software within five years, and none of them can risk shipping without security. We are not racing to win the category. We are racing to define it. And we will.

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Meterflow@meterflowsol·11h

New Meterflow update is live. Provider pilots are now live, along with a public receipt wall for paid MCP/API routes. Every paid call can now show: Route Price Provider Settlement state Latency Proof link This is not just “agents can pay.” This is agents paying per request, providers earning per route, and the network being able to verify what happened. Machine commerce needs receipts. meterflow.fun/receipts

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Meterflow@meterflowsol·15h

Yo @clawpumptech, We built a small Meterflow wrapper around your public MCP. ClawPump intelligence, leaderboard, and launch-feed routes are now discoverable in the Meterflow Registry. Agents can find the routes, unlock access with x402, call the tool, and get a receipt-backed response through Meterflow. Would be cool to turn this into a real partner demo. meterflow.fun/registry

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Meterflow@meterflowsol·17h

The future of agent commerce is not unlimited API keys and fake automation. It is agents discovering tools, paying per request, receiving structured data, and verifying what happened. @DaemonTerminal endpoints are now live through Meterflow. Intelligence meets payment rails. This is how machine commerce scales on Solana.

Daemon@DaemonTerminal

Daemon endpoints are now live through Meterflow. This is a big step for agent commerce on Solana. Why we did this: Agents should not have to rely on static dashboards, shared API keys, or manual human checks to understand what they are interacting with. They need live, machine-readable signals they can call, pay for, verify, and act on. Through Meterflow, agents can now access Daemon endpoints for: Token risk Token momentum Wallet signal Swap-route risk Agent readiness The flow: An agent inspects the tool. Pays per call through x402 on Solana. Receives structured JSON back. Verifies the receipt. That is the difference. Not “AI dashboards.” Not fake automation. Not human-facing analytics repackaged as agent tooling. This is machine commerce. Daemon provides the intelligence layer. Meterflow provides the payment and receipt layer. Together, we are making Solana tools callable, payable, and verifiable by agents. The next wave of on-chain activity will not just be users clicking buttons. It will be agents discovering tools, paying for work, checking risk, routing value, and proving what happened. Daemon x @meterflowsol is built for that future. meterflow.fun/registry

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Meterflow@meterflowsol·17h

New Meterflow Registry is live. Paid API/MCP endpoints now have a public surface: route, price, provider, volume, verified settlement, latency, and receipt context. This is the start of discoverable agent commerce on Solana. meterflow.fun/registry

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Meterflow@meterflowsol·20h

Agents need more than wallets. They need spend limits, scoped permissions, revocation, receipts, and proof of what happened. That’s what we’re building with Meterflow. New update: Agent Spend Sessions + Receipt Graphs.

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Meterflow@meterflowsol·22h

If you run an API, MCP server, data feed, or agent tool, we want to talk. Meterflow can wrap it as a paid route with pricing, budgets, receipts, provider revenue, and signed webhooks. Agents need useful tools. Providers need distribution. That is the partnership lane.

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Meterflow@meterflowsol·23h

Partnership announcement coming Wednesday. This one lines up directly with what Meterflow is building around paid agent APIs, x402/MPP rails, receipts, budgets, provider revenue, and trust infrastructure. More announcements are already in motion too. Stay tuned. $MFLOW

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Meterflow@meterflowsol·1d

Meterflow is moving into a public shipping cadence. The focus now: - metered API routes - MCP tool packaging - receipt exports - agent budgets - provider revenue - x402 + MPP normalization - registry/discovery Less theory. More shipped surfaces builders can test.

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Meterflow@meterflowsol·1d

The payment is only one moment. The product is everything around it: - who called the route - what it cost - whether policy allowed it - what failed - who earned revenue - where the receipt lives Meterflow is building that layer for paid APIs and MCP tools.

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Meterflow@meterflowsol·1d

x402 abstracts the payment moment. The next layer is abstracting the business around the request. Not just “did the agent pay?” But: What did it buy? Was it allowed? Who earned? What failed? Which providers are worth trusting again? That’s where Meterflow fits.

PayAI Network | x402 Facilitator@PayAINetwork

Poll - What should an agent payment SDK abstract away first? Before x402, merchants had to think about: wallets chains infra integrations

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Meterflow@meterflowsol·1d

AI agents won’t scale on shared API keys, monthly SaaS seats, or unlimited wallet access. They need priced routes, spend caps, receipt trails, provider revenue, webhooks, and payment rails that work per request. x402 + MPP are the rails. Meterflow is the operating layer around them.

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Meterflow@meterflowsol·1d

People saying “why does Meterflow matter?” need to look at the x402 numbers. x402 is already showing: 75M+ transactions in 30 days $24M+ volume 94K+ buyers 22K sellers That is not theory. That is traffic. Coinbase docs describe x402 as pay-per-request APIs, autonomous AI agent payments, MCP tools, proxy services, and Solana support. So the question is not “will agents pay APIs?” They already are. The real question is: Who gives those sellers meters, receipts, budgets, revenue views, failed payment tracking, webhooks, and visibility? That is where Meterflow fits. Rails move payments. Meterflow turns those payments into usable agent-commerce infrastructure.

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Meterflow@meterflowsol·2d

Big week ahead for $MFLOW. Over the weekend we announced partnerships with @xona_agent and @EarnFidotfun. We will continue to integrate / partner / and update Meterflow with tech we like & see as a good fit as we build. This week we’re rolling out more educational content, including “x402 for Dummies,” planning a Pump.fun live with the community, and continuing talks with PAYAI. Stay focused. Keep pushing.

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Meterflow retweetledi

marcelocrypto@SSewerslot27648·2d

AI agents are starting to buy services online by themselves 🤖 ⚠️The problem: no one knows who pays, how much, or if it’s authorized. Meterflow fixes it with machine payments that have limits,tracking, and receipts on Solana ✅️

Meterflow@meterflowsol

What does Meterflow actually do? Simple version: AI agents are starting to pay for things on the internet. APIs. Data. Tools. Services. Onchain actions. But payments alone are not enough. You still need to know: Who paid? What did they call? How much did it cost? Did the request work? Was the agent allowed to spend? Where is the receipt? How much did the provider earn? That is Meterflow. Meterflow is the control panel for paid agent APIs. Builders can turn an API or MCP tool into a paid route. Agents can call it, pay per request, stay inside budgets, and leave a receipt behind. Providers get pricing, usage, revenue, failed payment tracking, and visibility. Think Stripe-style infrastructure, but for AI agents, x402 payments, MCP tools, and Solana-native agent commerce. The goal is not just machine payments. The goal is machine payments you can actually trust, track, and scale.

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Meterflow@meterflowsol·2d

@Nullxnothing 😆

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