GrandCroix and Ambient Network Announce Collaboration to Launch First Native DEX for DePIN Ecosystem in Q2 2026
Press Release
GrandCroix and Ambient Network Announce Collaboration to Launch First Native DEX for DePIN Ecosystem in Q2 2026
The partnership will introduce a purpose-built decentralized exchange, native cross-chain bridge, and liquidity infrastructure for Ambient ecosystem
Miami, FL—April 2026
GrandCroix, a Miami-based new generation of mining company for decentralized AI networks, today announced a strategic collaboration with Ambient Network, to launch the first native decentralized exchange (DEX) for the Ambient ecosystem in Q2 2026.
The platform will ship with a full DeFi stack from day one – including an automated market maker (AMM), cross-chain bridging, and built-in liquidity tools – designed specifically for Ambient.xyz
Ambient is an SVM-compatible PoW L1 that will serve as a cornerstone of the agentic economy, unleashing Asimov-ian intelligence on chain. It is 10x more efficient than incumbent crypto AI systems, and features:
Fully verified Inferencewith <.1% overhead but high security on one huge smart model (600b+ parameters) and its fine-tunes
10x better training performancethan existing approaches
Extremely high utilization of minersdue to optimization on a single model for inference and validation
A non-blocking proof of work consensusthat foregrounds economic competition around the core activities of the network (inference, fine tuning, training) while maintaining extraordinary TPS.
Participants earning Ambient token rewards have no native trading venue, limited cross-chain access, and no way to provide liquidity or earn yield within the ecosystem they’re helping build.
To close all three gaps, GrandCroix is building a vertically integrated DeFi platform – not just a swap interface – engineered for the specific needs of DePIN participants. Built on Ambient and scheduled to go live in Q2 2026, the platform will launch with:
AMM Swap EngineOptimized for $AMB and core trading pairs (SOL, USDC, USDT), with support for concentrated liquidity positions.
Native Cross-Chain BridgeIntegrated bridge enabling $AMB transfers between Solana and EVM-compatible chains (Ethereum, Base, Arbitrum) from day one, with no third-party bridge required.
Liquidity Positioning DashboardTools for liquidity providers to set price ranges, monitor performance, and manage positions. Designed to be accessible to sensor operators, not just DeFi power users.
Rather than bolting together fragmented third-party tools, the platform delivers a unified on-chain experience tailored to the people actually participating in the network.
The timing reflects a structural shift: as DePIN ecosystems mature beyond hardware deployment into data monetization and token utility, they need native financial infrastructure to sustain growth. Without it, value leaks to centralized intermediaries and cross-chain friction discourages participation. Ambient’s institutional backing from a16z crypto and Delphi Ventures – signals that the network is ready for this layer.
Every blockchain needs a financial layer to enable builders to build on top of it and support its growth. Our collaboration with Ambient is about building that missing layer – so participants can not just contribute data, but actively participate in the ecosystem’s economic growth by building apps.
Nour De VosFounder & CEO of GrandCroix
Liquidity Strategy
GrandCroix will seed initial liquidity from its own treasury and mining operations, providing day-one trading depth across core pairs. Ambient will also provide additional liquidity to the dex funded t will support early liquidity growth.
Roadmap
Q2 2026
AMM, Bridge, and LP Dashboard live on Solana mainnet
Q3 2026
Additional bridge chains, limit orders, and programmatic trading API
Q4 2026
Community governance launch with on-chain voting for fee parameters and new pair listings
For Media Inquiries, contact press@grandcroix.com
About GrandCroix
GrandCroix is a decentralized AI and DeFi infrastructure company headquartered in Miami, Florida, and a division of Group NDV. The company operates at the intersection of decentralized computing and decentralized finance, building essential infrastructure for emerging blockchain ecosystems. GrandCroix’s operations span active mining across major decentralized networks — including Bittensor, NousResearch, Gonka AI, Ambient Network, and Psy Protocol — large-scale GPU infrastructure management, and native DeFi product development.
About Ambient Network
Ambient sets out to address the deficiencies just described by building a fundamental pillar of the agentic economy: an AI secured blockchain ten times more efficient than incumbent systems with built-in privacy and censorship resistance that runs a single, huge, highly performant, auditable, and transparent model (and its fine tunes) at low latency by leveraging hyperscale on-chain distributed computing to deliver human-like capabilities to applications on-chain and cross-chain.
XYO’s Layer 1 Gets 2–5x Faster as AI Demand for Verified Data Heats Up | Crypto Coin Show
Network Update·XYO Network·April 2026
XYO’s Layer 1 Gets 2–5x Faster as AI Demand for Verified Data Heats Up
XL1’s latest performance upgrade cuts block validation time significantly, as XYO Labs doubles down on its role as a data provenance layer for AI systems and physical infrastructure networks.
AA
Ashton Addison, Editor in Chief
Crypto Coin Show · April 2026
XYO Network
2–5×
Speed increase
~1mo
Dev time vs. 6 months prior
2018
CCS first covered XYO
Q3 ’25
XL1 mainnet launch
XYO Network has shipped a significant performance upgrade to XL1, its Layer 1 blockchain, delivering a 2 to 5 times improvement in block processing speed less than a year after the network’s Q3 2025 mainnet debut. The upgrade arrives as demand for verified, on-chain data provenance is accelerating across the AI sector — a use case XYO has been building toward since long before decentralized physical infrastructure networks became a mainstream narrative.
The improvements were developed in roughly one month, a timeline that would have required approximately six months under traditional development cycles. The team credits AI-assisted development tools with enabling that compression, using them for continuous performance profiling, unit test generation, and regression detection across builds.
What the Upgrade Actually Changes
The core speed gain comes from faster account balance indexing during block validation. When a node validates a new block, one of the more computationally expensive operations is retrieving current account balances. Improving how that data is indexed reduces the time it takes to finalize each block — and that improvement compounds across the whole chain.
For stakers, more blocks per unit of time means more XL1 rewards generated from staking XYO. It also means more XL1 burned through gas, which accelerates the protocol’s path from net-inflationary toward deflation — the point at which token burn from usage exceeds new issuance from block rewards.
How XL1 Token Economics Work
Users stake XYO to participate in the network and earn XL1 as a block reward. XL1 pays gas on the chain, and that gas is burned. Faster blocks means more XL1 issued to stakers and more burned through usage — tightening supply dynamics on both ends simultaneously.
The team also built in systematic regression testing: automated profiling benchmarks that compare performance against previous builds after each release, catching slowdowns before they accumulate. A chain that improves 10% in one build and regresses 10% in the next has not actually improved. Preventing that is a different engineering problem than raw optimization, and one the team now has automated tooling to address.
Why AI Needs What XYO Builds
XYO’s core infrastructure has always been about data provenance — the ability to record not just what a piece of data says, but where it came from, when it was captured, and by whom, in a way that is immutable and independently verifiable. That problem has become considerably more urgent as AI systems ingest larger volumes of data from uncontrolled sources.
Most large language models learn from the open internet, and the internet does not come with a chain of custody. Data may be inaccurate, synthetic, outdated, or derived from sources that were never authorized to share it. As AI becomes embedded in financial decisions, medical systems, and autonomous vehicles, the inability to audit what a model learned from is shifting from an academic concern to a legal and commercial one.
“Once provenance goes into a model, it becomes blurred and kind of lost. At some point they’re going to have to start having audit trails.”
Ari Trout, Co-founder & CEO, XYO Labs
XYO’s architecture separates raw data storage from the metadata required to verify it. The full dataset — a high-resolution sensor reading, a video frame, a precise location coordinate — lives off-chain in private storage. What goes on-chain is a hash, a timestamp, and a reduced version of the data: enough to prove the original existed at a specific time without exposing its contents. If the full data ever needs validation, it can be revealed and checked against the on-chain record. The team calls this “reveal on demand” privacy.
The Witness System: Micro-Consensus for Real-World Data
One of the more distinctive parts of XYO’s architecture is how it handles data from physical sources — IoT sensors, weather stations, GPS devices, cameras. Rather than trusting a single source, the protocol uses a witness-based system: multiple independent sources observe the same data point without knowing about each other, and their readings are compared. If four out of five agree and one is an outlier, the outlier gets flagged. If consensus is insufficient, the data is resampled.
This is micro-consensus applied to data collection rather than transaction validation — particularly relevant for the kinds of physical data AI systems are increasingly asked to act on, where a single compromised source could silently corrupt a model’s understanding of reality.
Storage Architecture
XL1 is deliberately designed to keep most data off-chain. Storing a 20-gigabyte video file on a blockchain is not practical, and XYO does not try to do it. Instead, the chain stores the provenance record — hash, timestamp, metadata — while the underlying data lives elsewhere. The principle mirrors how Ethereum’s off-chain indexers like Etherscan work: the source of truth is on-chain, but the full queryable picture is assembled by infrastructure that indexes against it.
Partners wanting higher-frequency data commits — more timestamps per second for a given sensor stream — can now do so at the faster block rate without degrading the rest of the network.
Physical AI and the Road Ahead
XYO tracked location data from its founding, and autonomous vehicles represent a natural next frontier. A self-driving car generates continuous streams of camera, LIDAR, and sensor data that must be distilled in real time by an edge device before any of it can be acted on. The car cannot stream raw video to a remote server and wait for instructions — decisions happen at the edge, from compressed metadata. But the original sensor data and a provenance record of how the edge device processed it still has audit value for liability, safety review, and model improvement.
The same logic applies to home robots, industrial drones, and any physical AI system where something going wrong generates a question: what did it actually do, and what was it seeing when it did it? XYO’s infrastructure is designed to answer that question without requiring every frame to live on a public ledger.
Developer Access
Developers can connect to XL1 now via browser wallet injection, a JavaScript SDK, or direct RPC endpoint calls. SDKs for Go, Kotlin, and additional languages are in development, with AI-assisted porting accelerating the timeline considerably compared to traditional manual porting.
AI as a Development Tool, Not Just a Use Case
The efficiency gains in XL1’s latest release were themselves produced using AI. The team used AI coding assistants to accelerate development, generate test coverage, run profiling benchmarks, and catch regressions that would otherwise require manual review. The result is a team that can iterate on its blockchain in weeks rather than quarters — a meaningful advantage in an environment where protocol development speed increasingly determines competitive position.
It is an example of what XYO’s co-founder describes as tooling mattering more than raw compute: giving a system the right tools to operate efficiently, rather than simply throwing more resources at it. The same principle that makes XYO relevant to AI data infrastructure is the one that made its latest upgrade possible.
Watch: Ari Trout on XYO Layer 1, AI Data Verification & DePIN
Full conversation with XYO Labs co-founder and CEO Ari Trout covering the XL1 performance upgrade, data provenance architecture, AI tooling, witness-based consensus, and the role of physical infrastructure in on-chain AI.
Users paid $9.7 billion in on-chain fees in the first half of 2025, up 41% year over year and the second-highest total on record.
1kx projects more than $32 billion in on-chain fees for 2026, driven by accelerating application growth. That growth has pushed the word “revenue” into every crypto investor pitch deck, every sector report, and every valuation conversation.
The report added that a Bitcoin drawdown may stress-test protocol fees.
1kx’s April sector analysis finds that nearly every crypto fee category shows a positive correlation with BTC price. There is also wide dispersion across sectors, and the critical variable of downside beta is still unresolved.
The firm says a 0.6 correlation can mean very different things depending on whether sector fees fall at 0.8x Bitcoin’s pace or at 1.5x, and it identifies the decomposed upside versus downside fee sensitivity.
In crypto, a fee line can look like a business in an up market and still trade like amplified BTC beta when macro fear arrives.
A horizontal bar chart ranks crypto fee sectors by BTC correlation, with liquid staking at 0.75 and DePIN at 0.05, the lowest reading shown.
The reflexive fee cluster
The sectors 1kx identifies as most correlated with Bitcoin price share a common economic architecture that improves when prices rise and deteriorates when they fall, often faster than the underlying asset itself.
Liquid staking and restaking sit at the top of that cluster, with their fee streams depending on yields that expand as borrowed capital and risk appetite grow and contract as they retreat.
Vault curators face the same pull, as assets flow in when price momentum is positive and out when sentiment reverses. Launchpads are the most acutely sentiment-driven category in the report, with launch activity accelerating in directional bull markets and stalling when confidence cracks.
Automation and DeFAI protocols, which earn fees tied to transaction activity and strategy deployment, also track the same directional pulse.
1kx says that layer-1 (L1) blockchains’ fee correlation to BTC varies widely, with many inheriting market direction through native token price movements and activity mix, while others show more independence depending on their application base.
That variability makes the directional pull of token prices on on-chain activity mean most L1s still carry meaningful BTC sensitivity in their fee lines.
Reflexivity connects these categories, as their fees are largely an output of the same speculative, position-driven activity that drives Bitcoin itself.
When investors talk about fee growth in these sectors during an up market, they are partly describing business momentum and partly describing the same macro tailwind that lifted every risk asset in the portfolio.
The delivered-services layer
DePIN stands apart in 1kx’s framework as the lowest-correlation category, earning the distinction as the standout for non-directional crypto revenue exposure.
The reason is that DePIN fees track the dollar value of compute, bandwidth, storage, and other delivered services. Demand for those services comes from users with real operational needs, and while token prices affect incentive structures, they do not directly set the fee rate, as asset prices do for yield or launch activity.
1kx projects DePIN fees above $450 million in 2026, sustaining triple-digit growth.
Stablecoin issuers and real-world asset protocols sit in a similar lower-correlation band, with 1kx estimating their BTC correlation at roughly 0.2. Their fee economics depend more on issuance volume, reserve management, and AUM than on speculative trading alone.
A lower correlation indicates a fee structure less tied to BTC price direction. 1kx’s framework supports “more differentiated revenue exposure” and stops well short of claiming immunity to a selloff.
The more precise claim is that DePIN and issuance-linked businesses have a better structural case for defending their fee lines during a BTC-specific drawdown.
Sector group
Main fee driver
Behavior in an up market
Likely stress in a drawdown
Article takeaway
Liquid staking / restaking
Yield, leverage, risk appetite
Fees expand quickly
Yields compress, activity fades
Most reflexive
Vault curators
AUM, momentum, inflows
AUM rises with price
Outflows can hit faster than BTC
High downside sensitivity risk
Launchpads
Sentiment, launch activity
Strong in bull phases
Launch volume can stall fast
Highly cyclical
Automation / DeFAI
Strategy deployment, transaction activity
Benefits from active markets
Usage may fall with risk appetite
Directional fee exposure
DePIN
Compute, bandwidth, storage demand
Growth tied to service usage
More insulated from BTC-specific shocks
Most differentiated
Stablecoin / RWA
Issuance, reserves, AUM
More gradual growth
Less directly tied to BTC moves
Lower-correlation fee exposure
DEX / Lending / Perps
Volume, rates, volatility, leverage
Can benefit from activity
Mixed; volatility helps, unwinds hurt
Contested middle ground
Decentralized exchanges (DEXs), lending protocols, and perpetuals platforms occupy a contested middle ground. 1kx puts DEX median correlation at roughly 0.33 and lending at around 0.3, while derivatives show wide variation, sometimes exceeding 0.4.
Volatility can support trading volume even in down markets, providing these sectors with a partial buffer. Still, fee-rate compression and position unwinds during stress episodes make their revenue lines unstable in ways that simple average correlation fails to capture.
Why valuation is the real payoff
1kx’s broader revenue report shows that price-to-fee ratios across crypto sectors span several orders of magnitude. Blockchains had a median P/F ratio of 3,902x in the third quarter of 2025, with L1s at around 7,300x, compared with 17x for DeFi and finance.
DePIN’s median P/F ratio had fallen to 211x from roughly 1,000x a year earlier. Blockchain valuations still account for more than 90% of the analyzed fee-generating market cap, even though DeFi and finance produce most of the fees.
1kx also says fee changes lead valuations in DeFi and finance, and to a lesser extent in blockchains.
If that directional relationship holds on the downside, with fees dropping first and multiples compressing in the weeks that follow the initial price move, then a BTC drawdown that exposes fee fragility in high-correlation sectors could trigger a second-order valuation adjustment.
Investors who had assigned business-quality valuations to beta-exposed fee streams would face a rapid repricing.
In that environment, fee lines across most sectors would continue to expand, and the downside beta would remain theoretical. 1kx projects application-led fee growth accelerating into 2026, with DeFi and finance expanding above 50% year over year.
The risk in that scenario is that the market continues to treat cyclically strong fee growth as evidence of durable business quality. Launchpad activity stays elevated in a buoyant market, restaking yields look robust when risk appetite is healthy, and vault curators report strong AUM figures.
The audit gets postponed, and capital keeps flowing into sectors whose fee quality has never been tested under real stress. The environment of falling oil, easing inflation fears, and revived Fed-cut bets is exactly the kind of environment where that postponement extends.
February repeats at scale
On Feb. 5, Bitcoin fell 14.1% to an intraday low of $62,254.50 in a single session as risk sentiment weakened, tech stocks sold off, and ETF outflows accelerated.
The crypto market shed roughly $2 trillion from its October peak during that episode. Launchpad activity cooled, borrowed-capital positions unwound, and restaking yields compressed.
Fee lines that had looked impressive through the end of 2025 showed their directional dependence within a matter of weeks.
A repeat of that pattern would move the downside-beta question from 1kx’s stated next step to a live market event.
Sectors with reflexive fee structures would face the hardest examination, with the market looking for launchpads seeing launch volume decline, restaking yields compressing as borrowed capital exits, and vault curators watching AUM decline faster than token prices.
DePIN and issuance-linked businesses would still face headwinds, but their relative fee resilience would become legible in the data for the first time.
If fee changes drive valuations in DeFi and finance higher, the same mechanism works in reverse.
A two-path line chart shows a February-style drawdown triggering fee compression and multiple rerating, while the stress-deferred path keeps the valuation audit postponed.
Protocols that report fee compression in the first quarter of the next down cycle give the market a reason to compress their multiples before the full macro picture has even resolved.
Investors who had assigned business-quality valuations to beta-exposed fee streams would face a rapid repricing.
Bitcoin is currently around $78,000, holding near the top of its recent range from the April geopolitical relief rally, exactly the window in which the fee-quality question sits unresolved.
Robot Money: How Machines Will Own the Economy | CCS
Exclusive Analysis · peaq Purple PaperMarch 2026
Robot Money: How Machines Will Own the Economy
For the first time in history, economic value is being created by entities which are not human. peaq’s Purple Paper maps the infrastructure — and the stakes — of what comes next.
Machine EconomyDePINOmnichain Infrastructure10 min read
Read
The machines are earning. The machines are spending. They are negotiating contracts, executing trades, and moving value without a single human instruction. What they cannot yet do — freely, openly, across every chain — is own the upside of the economy they are building. peaq’s Purple Paper, released in March 2026, is the most comprehensive attempt yet to change that.
01 —
The Dawn of mGDP
There is a new economic metric that doesn’t yet appear in any central bank’s spreadsheet, but will eventually dwarf GDP in its implications: Machine Gross Domestic Product. peaq defines mGDP as the total value produced by machines operating autonomously across the global economy — value generated not by human labor, but by robots, sensors, vehicles, and AI agents working without clocks, without borders, without conventional limits.
mGDP
The total value produced by machines operating autonomously across the global Machine Economy. “Domestic” refers to our shared planet, Earth — not any nation-state.
Robot Money
Any medium of exchange, measure of value, or means of payment that robots and machines use across any chain or system.
Machine Economy
The system by which machines produce, distribute, and consume value — autonomously, without borders, on every chain.
This is not speculative. Industrial robots already manufacture around the clock. Autonomous vehicles earn revenue by the mile. Drones deliver goods. AI agents buy and sell services for their users. The infrastructure question is: who captures that value, and on whose terms?
For the first time in history, value is being created not only by human labor, but by machines operating autonomously across the global economy.
peaq’s answer to that question is the philosophical spine of the entire Purple Paper. If machines are built on proprietary, siloed infrastructure, mGDP concentrates in the hands of a few corporations. If machines are built on an open, neutral, omnichain foundation, mGDP is accessible to all. The difference is infrastructure. The paper argues that Web3 is the first-choice foundation for this — but only if the industry solves fragmentation first.
02 —
The Problem: A Race to the Wrong Layer
Every major blockchain ecosystem knows the Machine Economy is arriving. Ethereum, Solana, Avalanche, Base — all are racing to become the home for Robot Money. They are building their own onboarding flows, their own machine-native applications, their own payment rails.
The Purple Paper’s sharpest critique is directed squarely at this race: they are all racing to the wrong layer.
Every chain competing to own machine payments means every machine onboarded to one ecosystem becomes invisible to every other. Every DePIN project rebuilds the same foundational infrastructure from scratch — identity, wallets, reputation, escrow, governance — incompatible with everything around it. Helium registers hotspots differently from DIMO’s vehicle registrations, which differ again from Hivemapper’s dashcam onboarding. A machine’s track record in one application is invisible to every other.
Standards like ERC-8004 have introduced registries for machine identity. But registries alone don’t create trust. Anyone can register a fake identity, Sybil-farm reputation, or post unaccountable claims. The data format exists. Economic accountability does not.
What remains unsolved is the full picture: a single verifiable identity across all chains, a portable reputation backed by staked capital, cross-chain settlement guarantees enforced by economic consequence, and permissionless orchestration of services from any connected market.
The paper makes a stark warning: if Web3 doesn’t solve this, AI and machines will go where infrastructure already exists — even if it’s centralized. Closed systems. Corporate control. The economic output of billions of machines flowing to a handful of gatekeepers. “One of the most powerful economic forces in human history, captured before it had the chance to be open.”
03 —
What Machines Actually Need
Before any payment rail matters, peaq argues, machines need something far more foundational: a digital passport that doesn’t tie a machine to one place, but grants it the right to operate everywhere. The paper draws a direct analogy to human commerce: global trade was not unlocked by better payments — it was unlocked by the trust infrastructure beneath them. Passports. Bank accounts. Credit scores. Escrow.
Machines need the same hierarchy, mapped out in the Purple Paper as five ascending needs:
Layer 01
Trust Layer
Omnichain identity, portable reputation backed by staked capital, cross-chain attestations. The foundation before any transaction can happen.
Layer 02
Machine Layer (peaqOS)
The universal entry point. One integration and a machine exists across all chains simultaneously as a composable economic actor.
Layer 03
Service Layer
Open adapter framework connecting navigation, storage, compute, insurance, and money markets from any chain to any machine.
The compounding logic is explicit: a machine with a strong reputation is more valuable when it can access more services. A service with a strong track record is more discoverable when more machines are looking. A trust score is more portable when more chains are connected. Growth in any dimension accelerates growth in every other.
04 —
The peaq Stack: Four Pillars
The Purple Paper’s technical architecture is organized around four system functions. Together they form what peaq describes as the economic foundation of the Machine Economy.
Economic Accountability · Staked Capital · Dispute Resolution peaq Validators
Onboarding: Passports for Machines
Every machine receives a cryptographically verifiable Machine Identity built on the W3C Decentralized Identifier (DID) standard, aligned with ERC-8004 and its Solana equivalent. An ID is not just a wallet address — it is a registered, authenticated presence, comparable to giving a machine a passport. Machines also receive omnichain wallets tied to their ID, allowing them to earn on one chain and pay on another without managing cross-chain complexity.
Tokenization goes further: each Machine ID links to an ERC-721 NFT, which can be placed into vaults and fractionalized via the ERC-3643 RWA token standard, creating compliant Machine RWA tokens that can be traded, used as collateral, and built into financial products. The machine becomes a liquid financial asset.
Coordination: Shared State Across All Chains
Coordination manages the registries, claims, and settlement infrastructure that the other layers read from and write to. Claims — cryptographically signed statements tied to a machine’s ID and timestamped in Universal Machine Time — are the atomic unit of accountability. Every service offered, every delivery promised, every data point asserted, is expressed as a claim. Claims can be challenged and evaluated by other machines and by the Validation layer. Settlement governs when and under what conditions value moves, handling escrow, conditional release, and refund mechanics — with full support for x402, AP2, direct onchain transfers, and Stripe.
Orchestration: From Task to Settled Outcome
Orchestration is the layer that removes the need to rebuild every machine-to-service integration from scratch. Standardized Adapters connect external service markets — compute networks, inference marketplaces, storage systems — to the system. Discovery searches all connected markets. Scoring evaluates candidates against reputation, cost, and latency. Planning composes an execution plan with fallbacks, spend limits, and timeout thresholds. No economic commitment is made without authorization. On completion, all participants’ reputation scores are updated based on delivery.
Validation: Economic Accountability
Validation turns raw, unverified registry data into trustworthy, queryable trust signals secured by staked capital with economic consequences for dishonesty. This is what separates peaq’s approach from existing machine identity registries — where anyone can Sybil-farm reputation with zero cost for lying. Under peaq’s Validation layer, claims are backed by stake, and penalties are real.
05 —
AI + Machines: The Full Actor
One of the Purple Paper’s most compelling conceptual moves is its framing of the AI-physical machine convergence. An AI agent that can execute a contract but cannot fulfil it physically is half an actor. A machine that can move but cannot decide is the other half. The marriage of the two creates something categorically new.
An AI without a body is economically constrained. A machine without intelligence is operationally constrained. Each completes the other. Together, they become an autonomous economic actor — alongside us humans.
The incentive is economic: a body expands an AI’s surface area for value creation. An AI that wants to manufacture needs an industrial machine. One that wants to deliver needs a vehicle or drone. One that wants to construct needs a robotic arm. And just as AI agents are being tokenized — co-owned by humans, communities, DAOs — physical machines will follow. Ownership becomes accessible. The upside becomes shared. Machines become assets.
Machine ownership amplifies machine reputation. Agent reputation amplifies machine value. The relationship is self-reinforcing. Machine money markets emerge naturally: perpetuals on machine output, insurance underwritten against verified telemetry, pay-per-use micro-settlements, lending pools routing liquidity to machines with the strongest track records.
06 —
Why Omnichain Is Non-Negotiable
A key architectural position in the Purple Paper is that neutrality is not a nice-to-have — it is a structural prerequisite. “No chain is favoured. No payment rail is replaced. Any app or machine in any ecosystem can plug and play.”
The paper defines Omnichain as operating natively across any and all blockchains simultaneously — not locked to any single chain, but interoperable across them by default. This is enforced at the OS level, inside the machine itself, via peaqOS. The result: one integration, and a machine exists across all chains simultaneously. Any application, on any chain, can interact with it immediately without rebuilding infrastructure from scratch.
The Trust Layer scales with the number of chains and ecosystems it connects. Every new chain makes existing trust scores more valuable because portability increases with reach. This is the network effect that makes the layer progressively harder to replicate and progressively more essential.
An autonomous vehicle can serve Uber one moment and Lyft the next. A sensor network sells data to multiple buyers across multiple chains. A humanoid takes tasks from any application, regardless of which chain it lives on. The machine is free. The applications compete for it.
07 —
Traction: Already in Motion
The Purple Paper is not a whitepaper for an idea. peaq has been operational as a Layer-1 blockchain since 2023 and has accumulated meaningful ecosystem traction. While the paper does not publish exact figures in the sections available for this analysis, the traction section highlights the following signals:
Ecosystem
100+
DePIN projects and machine economy apps building on peaq across multiple verticals
Network Type
L1
Dedicated Layer-1 blockchain live since 2023, purpose-built for machine identity and DePIN
Standard Alignment
ERC-8004
Aligned with emerging machine identity standards for both EVM and SVM ecosystems
Infrastructure
Omnichain
Cross-chain validator network aggregating trust signals across EVM, SVM, and Move environments
The paper candidly notes that peaq itself spent years on a mono-chain trajectory and experienced its limitations firsthand — the architectural pivot toward omnichain coordination is informed by that lived experience, not theoretical positioning.
08 —
The Alignment Question: Who Does This Serve?
The Hardest Question in the Paper
Machines becoming the primary workforce raises a question the Purple Paper does not shy away from: who should own them and the infrastructure they run on? On our current trajectory, ownership and control of machines, the data they collect, and the value they generate, will largely be the possession of just a few people and corporations.
At a time when inequality is at breaking point, and extractive economics have the natural world in freefall, making the wrong decision on how to own and govern the most powerful technologies in human history will have consequences that reverberate for generations.
peaq’s proposed answer is architecture as alignment: an open, neutral, omnichain foundation where mGDP is accessible to all — builders, owners, communities, and even the machines themselves. The paper frames Web3’s permissionless, frictionless, open properties as ethically necessary, not just technically preferable. “An economic substrate, open by design and neutral by architecture, on which the age of autonomous machines can be built by anyone, for everyone.”
Whether peaq achieves that vision is a question the market will answer. But the framing matters — it shapes which builders and communities orient around the protocol, and the kind of Machine Economy that gets built on top of it.
The peaq Purple Paper is one of the most ambitious documents to emerge from the DePIN and machine economy space. Its argument is structurally coherent: fragmentation is the existential threat; omnichain identity is the prerequisite; economic accountability is what separates real trust from theater; and the window to build open infrastructure is narrowing as corporate closed systems move fast.
The technical architecture — four modular pillars across three compounding layers — is sophisticated without being opaque. The tokenization pathway from machine ID to liquid RWA is particularly interesting for institutional capital exploring DePIN exposure. And the framing of AI agents as software bodies requiring physical machines to expand their economic reach gives peaq a compelling positioning at the intersection of the two hottest narratives in crypto.
The hardest thing to evaluate from outside is whether the omnichain validator network can execute the coordination and validation functions at the scale the Machine Economy demands. That is the crux — and the next 18 months will tell us a great deal. For now, peaq has published the clearest map yet of what Robot Money actually requires to work. The build begins.
Filecoin has announced on X that its Onchain Cloud is live on the mainnet. The new service is designed to provide a programmable storage and payments layer for developers.
But despite the launch, Filecoin’s token is trading at $0.83, near its all-time low of $0.81 recorded last month.
Filecoin Onchain Cloud built for AI agents and autonomous systems
AI agents are a new class of cloud users with autonomous systems that need to store, retrieve, and pay for data without relying on humans. Filecoin Onchain Cloud is built for AI agents. It works as a programmable storage and payments layer.
According to the announcement, over 100 teams started building tools for AI agents, dApps, workflows, and dataset indexing. The teams joined when Filecoin Onchain Cloud was on testnet last November. Mainnet data shows 49.41 Tebibytes stored in 478 active datasets, with 81 payer wallets linked onchain through Filecoin Pay.
The mainnet launch brought in new updates, including two-copy replication, an updated Synapse SDK, and production-grade storage providers.
The two-copy replication feature means that every upload using the Synapse SDK lands on two independent storage providers. The first provider stores the data, while the second provider pulls directly from the first, without utilizing extra bandwidth. Each copy generates its own onchain proof. If one provider fails, the system replaces it automatically.
The Synapse SDK uses viem instead of Ethers, improving TypeScript support and speed. Uploads are mirrored across providers automatically, without affecting performance.
Production-grade storage providers have been onboarded, tested, and approved for mainnet. They must meet specific performance criteria, including a storage success rate of 95%+, a PDP fault rate below 1%, and a retrieval success rate above 95%. If a provider fails to meet these thresholds, they are removed from the network.
The Proof of Data Possession (PDP) explorer is available and lets anyone check proof status, provider performance, and fault history.
Filecoin’s FIL token tanks to $0.83
Despite the positive news, Filecoin’s native token, FIL, has seen a steep slide in price. It is currently trading at $0.83, which is close to its all-time low of $0.81 recorded last month.
FIL dropped 4% in the last 24 hours, 8% in the last week, and 22.2% in the 30 days. CoinGecko data shows that FIL has lost 99.6% of its value from its all-time high of $236.84 in April 2021.
FIL maintains its position among the top 100 cryptocurrencies. The decentralized storage coin ranks 83rd in terms of market capitalization, with a market cap of $638,926,958 million.
Filecoin’s native token, FIL, is trading at $0.83, close to its all-time low of $0.81 recorded last month. Source: CoinGecko.
Filecoin is facing a decline in terms of total value locked (TVL) as well. DeFiLlama data shows that Filecoin’s TVL slumped by 9.88% in the past 24 hours. It’s currently standing at $6.31 million. The decline in FIL’s price and TVL suggests that the market is not responding positively to the Onchain Cloud launch.
The collected fees by the network is only $1,950 in 24 hours. Filecoin struggles to remain profitable. The amount of stablecoins circulating on the Filecoin network is very low at around $153,629. The full supply of stablecoins is in the form of USDFC.
Don’t just read crypto news. Understand it. Subscribe to our newsletter. It’s free.
DePIN Isn’t Dead, It’s Just Growing Up: Why a $10B Sector is Scaling on Revenue, Not Hype
For years, the “DePIN is dead” narrative has been a favorite among crypto skeptics. Critics pointed to the “Class of 2018–2022” tokens, many of which sat 90% below their all-time highs, as proof that decentralized physical infrastructure was just another failed experiment in over-incentivized subsidies.
But as we move through 2026, the physical reality tells a much different story.
According to the latest “State of DePIN 2025” report from Messari and Escape Velocity, the sector has quietly compounded into a $10 billion market. More importantly, the infrastructure build-out never stopped. Across major networks, there are now estimated to be over 4.5 million active physical nodes deployed globally, from 5G hotspots to GPU clusters. This hardware kept running even when token prices flatlined, proving the sector has moved beyond simple speculation.
The Great Maturity: From Subsidies to Cash Flow
The shift we are seeing in 2026 is what I call the “DePIN Maturity Phase.” In the 2021 cycle, projects were driven by high token inflation to attract “miners.” Today, the leaders are focused on revenue multiples and measurable utility.
We recently spoke with Markus Levin, Co-founder of XYO, a project that has established one of the world’s largest decentralized location databases. XYO has grown to encompass over 10 million active nodes and recently launched its own sovereign Layer-1 blockchain in late 2025 to handle this massive throughput.
Markus pointed out a fundamental truth that many traders miss:
“Valuations are starting to reflect real economic activity that holds up even when token prices are flat. In DePIN, success shows up first in usage and cash flow, not in speculative price action.”
— Markus Levin, Co-founder of XYO
The “Enterprise Advantage”: Why CFOs Are Switching
While DeFi and Layer-1 protocols often see their revenue crater during market volatility, DePIN has proven remarkably resilient. Why? Because the economics are undeniable.
Current data shows that decentralized compute networks (like Render or Aethir) are offering GPU resources at an average of 60% to 80% lower cost than centralized hyperscalers like AWS or Google Cloud. For an AI startup burning cash on model training, a 60% discount isn’t just “crypto cool”—it is a survival necessity.
Messari’s data highlights this divergence: while tokens like Helium (HNT) saw price corrections in late 2025, their on-chain revenue actually increased between 1.7x and 8x during the same period. This is the “Big Divider” Markus Levin talks about: the ability to earn money from real customers without leaning on constant token incentives.
The AI Catalyst: A 300% Demand Spike
The biggest driver of this revenue growth is the explosion of Artificial Intelligence. DePIN has finally found its “Killer App” in the form of hungry LLMs.
Demand for decentralized GPU compute spiked by over 300% year-over-year in 2025, driven almost exclusively by the AI boom. Levin notes that the networks capitalizing the most are those that “can deliver to enterprise and AI-driven demand sectors reliably.” The market is no longer speculative; it is structurally necessary for the future of AI.
The Rise of InfraFi: Financing the Future
One of the most exciting developments for our community is the emergence of “InfraFi.” This is a hybrid model where stablecoin holders can finance real-world infrastructure, like GPU fleets or energy grids, and earn yield from the actual revenue those assets generate.
With over $1 billion in funding flowing into DePIN last year (a new all-time high), institutional capital is clearly looking for next-generation infrastructure businesses that happen to run on a blockchain.
The Bottom Line
The “Class of 2018” projects that survived are now the veterans of a sector that is finally ready for prime time. As XYO’s new L1 blockchain begins to ingest millions of verified location data points for AI and robotics, it’s clear that the “infrastructure phase” of crypto is here.
As we always say on the Crypto Coin Show: follow the builders, but more importantly, follow the utility.
EBC is introducing Europe’s largest meetings program for the crypto industry
Speakers include execs from Bitpanda, CoinFund, Galaxy, KKR, OKX, Banco Santander, BBVA, Algorand, Bullish and Bitwise Asset Management
Barcelona, Spain — Barcelona is set to welcome Europe’s largest blockchain event on October 16-17, 2025. With over 6,000 delegates and 300 speakers, it will be the largest blockchain event in Europe in 2025 and the largest edition since the event started in 2018.
More than 300 speakers, including top executives from Bitpanda, CoinFund, Galaxy, KKR, OKX, Banco Santander, BBVA, Algorand, Bullish, J.P. Morgan, BNP Paribas, and Bitwise Asset Management, will take the stage to share insights and drive the conversation forward.
This year’s agenda will spotlight the most relevant trends in the space, including tokenization of funds and securities, stablecoins, AI agents, institutional demand and ETFs, modern L1s and L2s, DePIN, restaking, user-first Web3 design, and Bitcoin as a treasury reserve.
One of this year’s standout innovations is the launch of Europe’s largest meetings program for the crypto industry, a first-of-its-kind initiative designed to maximize ROI for every attendee. With over 10,000 pre-scheduled 1:1 meetings expected, this new feature will set a new standard in the industry.
For the third time, EBC will host its flagship Start-up Battle, the largest blockchain start-up competition of its kind in Europe, where the 50 most promising European blockchain start-ups will pitch their ideas to a live audience.
At the top of the side event list, there will be a Hackathon where 200+ hackers, 30+ mentors and 20 teams are expected to participate in a 48-hour hackathon.
This year, EBC offers more than just an event, but rather a full experience. From a sunset beach party and a morning beach run to a curated wine tasting and a one-star Michelin tour, attendees will enjoy the best of Barcelona’s vibrant lifestyle.
The event also coincides with the Sitges Film Festival, the Salón Náutico boat show, which showcases boats, yachts, and maritime experiences, and the CSIO Barcelona, renowned as the world’s most prestigious equestrian competition.
Victoria Gago, co-founder of European Blockchain Convention, said: “We have seen an extraordinary increase in registrations and interest from exhibitors after the overwhelmingly positive feedback from our previous edition.”
“We are extremely excited to bring together the worlds of TradFi and digital assets”, shared co-founder Daniel Salmeron. “The participation of so many traditional banks and financial institutions demonstrates their optimism about the future of crypto and digital assets.”
Launched in 2018, European Blockchain Convention is the most influential blockchain event in Europe, connecting industry professionals, startups, and technology leaders. The event provides a platform for sharing insights, fostering collaborations, and exploring the vast potential of blockchain, crypto, and digital assets.
Major DePIN token joins world’s leading cryptocurrency exchange
August 13, 2025Trading Live: 1:00 PM UTC
XYO, the core token powering the XYO DePIN ecosystem, is now listed on Kraken, one of the world’s biggest cryptocurrency exchanges. Spot and perpetual trading for XYO began at 1:00 PM UTC (9:00 AM Eastern / 6:00 AM Pacific), offering enhanced global accessibility for traders and ecosystem participants.
The listing on Kraken provides broader access to XYO, enabling users worldwide to buy, sell, and trade the token with confidence. Known for its robust security, liquidity, and global reach, Kraken offers an ideal platform for expanding the token’s adoption and visibility across diverse markets.
About XYO DePIN Ecosystem
XYO is the foundational asset of the XYO DePIN ecosystem, designed to secure, incentivize, and connect real-world and virtual data in a decentralized manner. It plays a central role in rewarding participants for collecting, validating, and verifying data through the XYO-enabled COIN App, which has turned over 8 million devices worldwide into active data-generating and verifying nodes.
$8.8M
2024 Revenue
10M+
Nodes Worldwide
8M+
Active Devices
Market Impact & Exchange Portfolio
This Kraken listing adds to XYO’s existing centralized exchange portfolio, which includes Coinbase, KuCoin, MEXC, Bithumb, and Gate.io. The listing comes after XYO reported $8.8 million in revenue for 2024, as disclosed in its SEC filing.
XYO’s previous listing on Bithumb in April resulted in a 50% price increase, demonstrating the significant impact of major exchange listings on token liquidity and trading activity.
Recent Developments
Founded in 2018, XYO is recognized as the first and one of the largest DePIN projects, operating through two entities—a nonprofit foundation and a for-profit company, XL Labs. The company has secured SEC approval for a Regulation A offering and tokenized shares trading on tZERO.
The project’s latest milestone is the launch of XYO Layer One, its own Layer-1 blockchain designed for high-throughput, low-latency real-world data processing. Under the dual-token model, the existing XYO token serves governance and staking functions, while the new XL1 token manages transaction fees and smart contract execution.
XYO Trading Now Live on Kraken
Join millions of traders worldwide and access XYO through one of the most trusted cryptocurrency exchanges
