GraphAI DevLog 12 – Automating Intelligence
Over the last two weeks, GraphEngine has entered a new phase of evolution, moving from a human-assisted indexing system to a fully automated, self-orchestrating data engine. This period focused on deep backend automation, dynamic prompt generation, modular scaling, and empowering developers with direct, secure access to their subgraphs through MCP servers and UI tools. Together, these updates represent a major stride toward a more autonomous, AI-native infrastructure.
✅ Dynamic Subgraph Prompts – Subgraphs now generate their own prompts dynamically during approval, adapting automatically to live on-chain context for smarter, more accurate outputs.
✅ Automated Approval Workflow – ABIs, token and pool metadata, and query prompts are now fetched and configured automatically, completing a fully hands-off, end-to-end approval pipeline that’s faster and more consistent.
✅ SNS-Level Filtering – Added precise event routing at the contract level, eliminating redundant traffic and significantly improving the speed and clarity of subgraph data streams.
✅ Dynamic MCP Servers + UI – Each subgraph can now host its own MCP endpoint, and developers can generate scoped MCP tokens directly from the UI, enabling real-time AI integrations through platforms like Claude and ChatGPT without custom setup.
✅ Backend Migration + UI Enhancements – Moved subgraph request and approval endpoints to the unified ChatBackend server, improving reliability, monitoring, and developer experience.
With these developments, GraphEngine is becoming a true self-governing AI data engine. One that can create, approve, and deploy on its own, while giving developers complete control through standardized interfaces.
Next, we'll move closer to the GraphEngine V1 public release, expanding data scalability and enabling live MCP integrations for all users, bringing the power of AI-native blockchain intelligence to everyone.
🔗 Full DevLog: https://medium.com/@graphAI.tech/automating-intelligence-fb8eded40a5b
https://x.com/GraphAIOfficial/status/1977720256908120314
Over the last two weeks, GraphEngine has entered a new phase of evolution, moving from a human-assisted indexing system to a fully automated, self-orchestrating data engine. This period focused on deep backend automation, dynamic prompt generation, modular scaling, and empowering developers with direct, secure access to their subgraphs through MCP servers and UI tools. Together, these updates represent a major stride toward a more autonomous, AI-native infrastructure.
✅ Dynamic Subgraph Prompts – Subgraphs now generate their own prompts dynamically during approval, adapting automatically to live on-chain context for smarter, more accurate outputs.
✅ Automated Approval Workflow – ABIs, token and pool metadata, and query prompts are now fetched and configured automatically, completing a fully hands-off, end-to-end approval pipeline that’s faster and more consistent.
✅ SNS-Level Filtering – Added precise event routing at the contract level, eliminating redundant traffic and significantly improving the speed and clarity of subgraph data streams.
✅ Dynamic MCP Servers + UI – Each subgraph can now host its own MCP endpoint, and developers can generate scoped MCP tokens directly from the UI, enabling real-time AI integrations through platforms like Claude and ChatGPT without custom setup.
✅ Backend Migration + UI Enhancements – Moved subgraph request and approval endpoints to the unified ChatBackend server, improving reliability, monitoring, and developer experience.
With these developments, GraphEngine is becoming a true self-governing AI data engine. One that can create, approve, and deploy on its own, while giving developers complete control through standardized interfaces.
Next, we'll move closer to the GraphEngine V1 public release, expanding data scalability and enabling live MCP integrations for all users, bringing the power of AI-native blockchain intelligence to everyone.
🔗 Full DevLog: https://medium.com/@graphAI.tech/automating-intelligence-fb8eded40a5b
https://x.com/GraphAIOfficial/status/1977720256908120314
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Graph AI 🤝 AI Rocket Agent
Most data tells you what happened.
Ours tells you why it matters.
Together with AI Rocket Agent, we're shaping the era of self-aware markets:
- Launches that learn
- Tokens that adapt
- Ecosystems that react in real time.
Intelligence isn't a layer anymore. It's the foundation.
https://x.com/GraphAIOfficial/status/1978053426048389244
Most data tells you what happened.
Ours tells you why it matters.
Together with AI Rocket Agent, we're shaping the era of self-aware markets:
- Launches that learn
- Tokens that adapt
- Ecosystems that react in real time.
Intelligence isn't a layer anymore. It's the foundation.
https://x.com/GraphAIOfficial/status/1978053426048389244
❤3
Introducing GraphPools - The Next Evolution of the GAI Token Economy
As GraphEngine prepares for its V1 public launch, we’re introducing GraphPools - curated, tokenised collections of subgraphs that let users co-own the intelligence powering AI.
Each GraphPool will pair with $GAI to form a liquidity pool where users can purchase GraphPool Tokens and earn a share of query revenue generated by the underlying data.
Curators assemble themed sets of subgraphs, from DeFi insights to NFT activity, while users back the most valuable intelligence pools using $GAI.
The result: a live, market-driven data economy where creation, curation, and usage all drive value.
This is where data becomes liquid, and intelligence becomes income.
Read the full article: https://medium.com/@graphAI.tech/from-insight-to-income-introducing-graphpools-b8ba83824218
https://x.com/GraphAIOfficial/status/1978473371106193546
As GraphEngine prepares for its V1 public launch, we’re introducing GraphPools - curated, tokenised collections of subgraphs that let users co-own the intelligence powering AI.
Each GraphPool will pair with $GAI to form a liquidity pool where users can purchase GraphPool Tokens and earn a share of query revenue generated by the underlying data.
Curators assemble themed sets of subgraphs, from DeFi insights to NFT activity, while users back the most valuable intelligence pools using $GAI.
The result: a live, market-driven data economy where creation, curation, and usage all drive value.
This is where data becomes liquid, and intelligence becomes income.
Read the full article: https://medium.com/@graphAI.tech/from-insight-to-income-introducing-graphpools-b8ba83824218
https://x.com/GraphAIOfficial/status/1978473371106193546
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Most “signals” stare at charts and pre-defined indicators tuned by backtests. They’re reactive, brittle, and often late. If you’re trading the past, you’re already behind.
GraphAI is innovating! Live, behavior-driven signals sourced from real on-chain truth. GraphEngine normalizes wallet/whale/LP activity into deterministic, AI-ready schemas, so insights are verifiable, structured, and ready to act the moment they happen.
Example alert you could run:
“Alert when unique buyers of ‘X Token’ rises ≥35% vs. 24h baseline and net liquidity inflow ≥$250k over 12h, with holder retention (7d) ≥10%.”
We measure behavior, not just price (coordinated whale entries, LP withdrawals, capital rotations, cohort growth, bridge inflows), validate which parameters consistently produce alpha, then automate execution with guardrails (size caps, max slippage, smart gas windows, trailing stops).
Coming soon from GraphAI. GraphEngine is the shift: measure what’s actually happening, prove it works, automate it.
On-chain truth → Signals → Actions
https://x.com/GraphAIOfficial/status/1978872920408756662
GraphAI is innovating! Live, behavior-driven signals sourced from real on-chain truth. GraphEngine normalizes wallet/whale/LP activity into deterministic, AI-ready schemas, so insights are verifiable, structured, and ready to act the moment they happen.
Example alert you could run:
“Alert when unique buyers of ‘X Token’ rises ≥35% vs. 24h baseline and net liquidity inflow ≥$250k over 12h, with holder retention (7d) ≥10%.”
We measure behavior, not just price (coordinated whale entries, LP withdrawals, capital rotations, cohort growth, bridge inflows), validate which parameters consistently produce alpha, then automate execution with guardrails (size caps, max slippage, smart gas windows, trailing stops).
Coming soon from GraphAI. GraphEngine is the shift: measure what’s actually happening, prove it works, automate it.
On-chain truth → Signals → Actions
https://x.com/GraphAIOfficial/status/1978872920408756662
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GraphAI Weekly Recap
Here’s everything we shipped this week across GraphAI, GraphEngine, and our growing ecosystem.
DevLog 12 – Automating Intelligence
GraphEngine evolved from a human-assisted system to a self-orchestrating AI-native engine, introducing dynamic prompts, automated subgraph approvals, SNS-level filtering, and live MCP integrations via UI-based tokens.
🔗 https://x.com/GraphAIOfficial/status/1977720256908120314
GraphAI × AI Rocket Agent
Together we’re shaping the era of self-aware markets - where launches learn, tokens adapt, and ecosystems react in real time.
🔗 https://x.com/GraphAIOfficial/status/1978053426048389244
Introducing GraphPools
The next evolution of the $GAI token economy - curated, tokenized collections of subgraphs where users can co-own and earn from the intelligence powering AI.
🔗 https://x.com/GraphAIOfficial/status/1978473371106193546
What’s Coming Next Week
Demo 3 – MCP Integration with Claude
Head AI Scientist Akhil Verghese will demonstrate how users can create MCP tokens from selected subgraphs and integrate them directly with Claude’s Opus 4.1 LLM, showing live querying and intelligent data-driven responses.
Scaling Data & Cross-Chain Expansion
We’ll reveal how GraphAI is scaling GraphEngine to support multiple chains and new data providers, massively expanding the scope and reliability of real-time on-chain intelligence.
Path to GraphEngine V1 Public Launch
Our team will share the detailed rollout timeline from Closed Beta to Public V1 - including what features users can expect in V1 launch.
The move toward full automation, tokenised intelligence, and live AI integrations marks the start of GraphAI’s next phase, where data becomes liquid, and intelligence becomes income.
https://x.com/GraphAIOfficial/status/1979590409165930893
Here’s everything we shipped this week across GraphAI, GraphEngine, and our growing ecosystem.
DevLog 12 – Automating Intelligence
GraphEngine evolved from a human-assisted system to a self-orchestrating AI-native engine, introducing dynamic prompts, automated subgraph approvals, SNS-level filtering, and live MCP integrations via UI-based tokens.
🔗 https://x.com/GraphAIOfficial/status/1977720256908120314
GraphAI × AI Rocket Agent
Together we’re shaping the era of self-aware markets - where launches learn, tokens adapt, and ecosystems react in real time.
🔗 https://x.com/GraphAIOfficial/status/1978053426048389244
Introducing GraphPools
The next evolution of the $GAI token economy - curated, tokenized collections of subgraphs where users can co-own and earn from the intelligence powering AI.
🔗 https://x.com/GraphAIOfficial/status/1978473371106193546
What’s Coming Next Week
Demo 3 – MCP Integration with Claude
Head AI Scientist Akhil Verghese will demonstrate how users can create MCP tokens from selected subgraphs and integrate them directly with Claude’s Opus 4.1 LLM, showing live querying and intelligent data-driven responses.
Scaling Data & Cross-Chain Expansion
We’ll reveal how GraphAI is scaling GraphEngine to support multiple chains and new data providers, massively expanding the scope and reliability of real-time on-chain intelligence.
Path to GraphEngine V1 Public Launch
Our team will share the detailed rollout timeline from Closed Beta to Public V1 - including what features users can expect in V1 launch.
The move toward full automation, tokenised intelligence, and live AI integrations marks the start of GraphAI’s next phase, where data becomes liquid, and intelligence becomes income.
https://x.com/GraphAIOfficial/status/1979590409165930893
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Demo 3: MCP Integration
In our third demo, Head AI Scientist Akhil Verghese walks through how users can create MCP tokens from specific subgraphs within GraphEngine and integrate them directly into third-party applications, in this case, Claude’s Opus 4.1 LLM.
In this demo we show:
✅ How to generate an MCP token scoped to a subgraph of interest.
✅ Using the token to connect GraphEngine with external LLMs via MCP.
✅ Querying live on-chain data inside Claude to extract real insights.
✅ Step-by-step view of how the LLM leverages the MCP to fetch data and respond intelligently.
This integration marks a milestone in bridging GraphAI’s on-chain intelligence with the world’s leading AI reasoning systems, bringing real-time blockchain context directly into advanced LLMs and agents.
https://x.com/GraphAIOfficial/status/1980258721449291929
In our third demo, Head AI Scientist Akhil Verghese walks through how users can create MCP tokens from specific subgraphs within GraphEngine and integrate them directly into third-party applications, in this case, Claude’s Opus 4.1 LLM.
In this demo we show:
✅ How to generate an MCP token scoped to a subgraph of interest.
✅ Using the token to connect GraphEngine with external LLMs via MCP.
✅ Querying live on-chain data inside Claude to extract real insights.
✅ Step-by-step view of how the LLM leverages the MCP to fetch data and respond intelligently.
This integration marks a milestone in bridging GraphAI’s on-chain intelligence with the world’s leading AI reasoning systems, bringing real-time blockchain context directly into advanced LLMs and agents.
https://x.com/GraphAIOfficial/status/1980258721449291929
👏4❤1
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GraphAI 🤝 Mute Swap
Mute Swap integrating GraphAI’s real-time knowledge graphs to power its cross-chain Privacy AI Agent and Whisper Terminal.
Now liquidity, routing, and staker flows can be understood without identity exposure.
The result: Private systems that can think, not just transact.
https://x.com/GraphAIOfficial/status/1980622982092583362
Mute Swap integrating GraphAI’s real-time knowledge graphs to power its cross-chain Privacy AI Agent and Whisper Terminal.
Now liquidity, routing, and staker flows can be understood without identity exposure.
The result: Private systems that can think, not just transact.
https://x.com/GraphAIOfficial/status/1980622982092583362
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Scaling Smarter: The Next Evolution of GraphEngine
Over the past months, GraphAI has reimagined how real-time blockchain data can be indexed, structured, and delivered to AI systems. Our next major milestone, the transition to a new scalable, multi-chain data ingestion model, unlocks the future of AI-native intelligence across Web3.
By partnering with a leading Web3 data provider, GraphEngine now gains access to pre-decoded, structured, and latency-optimized event streams, enabling:
✅ Near real-time updates across multiple chains
✅ Historical backfill for deep time-series analysis
✅ Unified APIs that make cross-chain subgraph creation effortless
This shift eliminates costly infrastructure overhead, ensures rapid scalability, and allows developers to focus entirely on building intelligent applications, not managing data pipelines. It’s a leap forward that transforms GraphEngine from a high-performance indexer into the foundation for AI-driven insight, automation, and reasoning at blockchain scale.
The new ingestion model will roll out to Closed Beta users over the next 2 weeks, with GraphEngine V1 Public Launch to follow soon after.
Full article → https://medium.com/@graphAI.tech/scaling-smarter-evolving-graphengines-data-ingestion-for-the-multi-chain-future-74d3311ddf47
https://x.com/GraphAIOfficial/status/1980996890817876307
Over the past months, GraphAI has reimagined how real-time blockchain data can be indexed, structured, and delivered to AI systems. Our next major milestone, the transition to a new scalable, multi-chain data ingestion model, unlocks the future of AI-native intelligence across Web3.
By partnering with a leading Web3 data provider, GraphEngine now gains access to pre-decoded, structured, and latency-optimized event streams, enabling:
✅ Near real-time updates across multiple chains
✅ Historical backfill for deep time-series analysis
✅ Unified APIs that make cross-chain subgraph creation effortless
This shift eliminates costly infrastructure overhead, ensures rapid scalability, and allows developers to focus entirely on building intelligent applications, not managing data pipelines. It’s a leap forward that transforms GraphEngine from a high-performance indexer into the foundation for AI-driven insight, automation, and reasoning at blockchain scale.
The new ingestion model will roll out to Closed Beta users over the next 2 weeks, with GraphEngine V1 Public Launch to follow soon after.
Full article → https://medium.com/@graphAI.tech/scaling-smarter-evolving-graphengines-data-ingestion-for-the-multi-chain-future-74d3311ddf47
https://x.com/GraphAIOfficial/status/1980996890817876307
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GraphAI Weekly Recap
Here’s everything we shipped and announced this week across GraphAI, GraphEngine, and our expanding ecosystem.
Demo 3: MCP Integration
Head AI Scientist Akhil Verghese walked through how users can now generate MCP tokens from their subgraphs and integrate them into external LLMs - demonstrated live with Claude’s Opus 4.1. This marks a major step in connecting GraphAI’s real-time blockchain intelligence directly to advanced reasoning systems.
https://x.com/GraphAIOfficial/status/1980258721449291929
GraphAI × Mute Swap
GraphAI is integrating with Mute to power its cross-chain Privacy AI Agent and Whisper Terminal. This integration enables private systems that can think, offering liquidity and routing insights without identity exposure.
https://x.com/GraphAIOfficial/status/1980622982092583362
Scaling Smarter: The Next Evolution of GraphEngine
We announced GraphAI’s next major milestone, the transition to a scalable, multi-chain data ingestion model. This upgrade unlocks near real-time updates, historical backfill, and seamless cross-chain subgraph creation, paving the way for GraphEngine V1. Closed Beta rollout starts in two weeks.
https://x.com/GraphAIOfficial/status/1980996890817876307
What’s Coming Next Week…
DevLog 13: Countdown to V1
A full recap of the last two weeks of development, including final automation updates, backend refinements, and the roadmap to GraphEngine V1.
Community Features Launch
We’ll unveil new user-focused updates, introducing profiles, collaborative tools, and social mechanics to make GraphEngine more community-driven than ever.
New Integrations
We’ll reveal new technical collaborations with leading Web3 and AI projects that expand GraphAI’s reach and ecosystem connectivity.
Network Expansion
Announcements on new strategic partnerships and alliances that strengthen GraphAI’s position as the AI-native data layer of Web3.
https://x.com/GraphAIOfficial/status/1982445329417974155
Here’s everything we shipped and announced this week across GraphAI, GraphEngine, and our expanding ecosystem.
Demo 3: MCP Integration
Head AI Scientist Akhil Verghese walked through how users can now generate MCP tokens from their subgraphs and integrate them into external LLMs - demonstrated live with Claude’s Opus 4.1. This marks a major step in connecting GraphAI’s real-time blockchain intelligence directly to advanced reasoning systems.
https://x.com/GraphAIOfficial/status/1980258721449291929
GraphAI × Mute Swap
GraphAI is integrating with Mute to power its cross-chain Privacy AI Agent and Whisper Terminal. This integration enables private systems that can think, offering liquidity and routing insights without identity exposure.
https://x.com/GraphAIOfficial/status/1980622982092583362
Scaling Smarter: The Next Evolution of GraphEngine
We announced GraphAI’s next major milestone, the transition to a scalable, multi-chain data ingestion model. This upgrade unlocks near real-time updates, historical backfill, and seamless cross-chain subgraph creation, paving the way for GraphEngine V1. Closed Beta rollout starts in two weeks.
https://x.com/GraphAIOfficial/status/1980996890817876307
What’s Coming Next Week…
DevLog 13: Countdown to V1
A full recap of the last two weeks of development, including final automation updates, backend refinements, and the roadmap to GraphEngine V1.
Community Features Launch
We’ll unveil new user-focused updates, introducing profiles, collaborative tools, and social mechanics to make GraphEngine more community-driven than ever.
New Integrations
We’ll reveal new technical collaborations with leading Web3 and AI projects that expand GraphAI’s reach and ecosystem connectivity.
Network Expansion
Announcements on new strategic partnerships and alliances that strengthen GraphAI’s position as the AI-native data layer of Web3.
https://x.com/GraphAIOfficial/status/1982445329417974155
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GraphAI DevLog 13 – Building the Connected, Scalable Future
Over the past two weeks, GraphEngine has taken major strides toward becoming a fully connected, community-driven, and infinitely scalable AI data platform. The focus has been on expanding integrations, deepening automation, and giving users new ways to connect, personalize, and scale as we approach the GraphEngine V1 public launch.
✅ Allium Integration Prep – Infrastructure deployed for decoded blockchain data ingestion, enabling near real-time, multi-chain intelligence without added infrastructure overhead.
✅ Auto Push-to-Prod Pipeline – New CI/CD automation delivers seamless, conflict-free production deployments with instant Slack updates and greater reliability.
✅ Telegram & Discord Bots – Users can now query GraphAI subgraphs directly within Telegram and Discord, bringing on-chain intelligence to community spaces.
✅ User Profiles + Social Identity – Personalized profiles now feature bios, X (Twitter), and GitHub links, giving creators visibility, credibility, and cross-platform identity.
✅ Privacy Controls + Environment Isolation – Creators can set subgraphs as public or private, with separate dev and prod environments for safer experimentation.
✅ Embeddable GraphAI Widget – A lightweight widget lets anyone embed GraphAI-powered intelligence directly into websites or dashboards with a single snippet.
Each improvement strengthens GraphAI’s foundation, connecting data, developers, and AI through automation, accessibility, and social identity, paving the way for GraphEngine V1.
🔗 Full DevLog: https://medium.com/@graphAI.tech/building-the-connected-scalable-future-ccb7bfbe3a3d
https://x.com/GraphAIOfficial/status/1982825785506648086
Over the past two weeks, GraphEngine has taken major strides toward becoming a fully connected, community-driven, and infinitely scalable AI data platform. The focus has been on expanding integrations, deepening automation, and giving users new ways to connect, personalize, and scale as we approach the GraphEngine V1 public launch.
✅ Allium Integration Prep – Infrastructure deployed for decoded blockchain data ingestion, enabling near real-time, multi-chain intelligence without added infrastructure overhead.
✅ Auto Push-to-Prod Pipeline – New CI/CD automation delivers seamless, conflict-free production deployments with instant Slack updates and greater reliability.
✅ Telegram & Discord Bots – Users can now query GraphAI subgraphs directly within Telegram and Discord, bringing on-chain intelligence to community spaces.
✅ User Profiles + Social Identity – Personalized profiles now feature bios, X (Twitter), and GitHub links, giving creators visibility, credibility, and cross-platform identity.
✅ Privacy Controls + Environment Isolation – Creators can set subgraphs as public or private, with separate dev and prod environments for safer experimentation.
✅ Embeddable GraphAI Widget – A lightweight widget lets anyone embed GraphAI-powered intelligence directly into websites or dashboards with a single snippet.
Each improvement strengthens GraphAI’s foundation, connecting data, developers, and AI through automation, accessibility, and social identity, paving the way for GraphEngine V1.
🔗 Full DevLog: https://medium.com/@graphAI.tech/building-the-connected-scalable-future-ccb7bfbe3a3d
https://x.com/GraphAIOfficial/status/1982825785506648086
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Privacy Controls are now live in GraphEngine Closed Beta giving creators full command over when and how their work is shared.
✅ Private Mode – Keep subgraphs hidden from public view while testing, refining, and experimenting in a production-grade environment.
✅ Public Mode – Make your subgraphs discoverable and visible once they’re ready for community use or collaboration.
This update creates a safer, more flexible workflow for builders, enabling iteration without exposure and confidence before going live.
Now available in GraphEngine Closed Beta.
https://x.com/GraphAIOfficial/status/1983202476431221033
✅ Private Mode – Keep subgraphs hidden from public view while testing, refining, and experimenting in a production-grade environment.
✅ Public Mode – Make your subgraphs discoverable and visible once they’re ready for community use or collaboration.
This update creates a safer, more flexible workflow for builders, enabling iteration without exposure and confidence before going live.
Now available in GraphEngine Closed Beta.
https://x.com/GraphAIOfficial/status/1983202476431221033
X (formerly Twitter)
GraphAI (@GraphAIOfficial) on X
Privacy Controls are now live giving creators full control over visibility.
✅ Private Mode: Build & test subgraphs discreetly in production
✅ Public Mode: Go live when ready for collaboration
Experiment privately. Launch confidently.
Now available in GraphEngine…
✅ Private Mode: Build & test subgraphs discreetly in production
✅ Public Mode: Go live when ready for collaboration
Experiment privately. Launch confidently.
Now available in GraphEngine…
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GraphAI × x402 - Intelligence Meets Settlement
We’re excited to announce GraphAI’s upcoming integration with x402, the Base-native micropayment standard that uses HTTP 402 “Payment Required” to enable instant, onchain pay-per-query access to intelligence.
With x402, every query, subgraph, and MCP call can be settled in real time using USDC. No API keys, no subnoscriptions, just pure machine-native payments. This will unlock frictionless monetisation across GraphEngine, GraphPools, and AI agent workflows, rewarding creators and curators directly at the point of insight.
For users and developers, this means instant access to data and AI reasoning and for the $GAI economy, it’s a leap toward a self-sustaining, pay-as-you-go model for onchain intelligence.
With this integration, GraphEngine doesn’t just serve intelligence, it settles it.
🔗 Read the full article: https://medium.com/@graphAI.tech/intelligence-meets-settlement-x402-comes-to-graphai-25e84bb4b4ca
https://x.com/GraphAIOfficial/status/1983519534775775465
We’re excited to announce GraphAI’s upcoming integration with x402, the Base-native micropayment standard that uses HTTP 402 “Payment Required” to enable instant, onchain pay-per-query access to intelligence.
With x402, every query, subgraph, and MCP call can be settled in real time using USDC. No API keys, no subnoscriptions, just pure machine-native payments. This will unlock frictionless monetisation across GraphEngine, GraphPools, and AI agent workflows, rewarding creators and curators directly at the point of insight.
For users and developers, this means instant access to data and AI reasoning and for the $GAI economy, it’s a leap toward a self-sustaining, pay-as-you-go model for onchain intelligence.
With this integration, GraphEngine doesn’t just serve intelligence, it settles it.
🔗 Read the full article: https://medium.com/@graphAI.tech/intelligence-meets-settlement-x402-comes-to-graphai-25e84bb4b4ca
https://x.com/GraphAIOfficial/status/1983519534775775465
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GraphAI 🤝 Allium — Scaling Real-Time Intelligence
We’re thrilled to announce that GraphAI has officially integrated with Allium, marking a major milestone in our mission to deliver real-time, multi-chain intelligence for AI.
This integration transforms how GraphEngine ingests blockchain data, moving from manual decoding pipelines to fully structured, pre-decoded event streams with near-zero latency. The result: faster cross-chain scaling, seamless historical data backfilling, and cleaner, context-rich outputs from AI models and agents.
With Allium powering decoded data ingestion, GraphEngine can now focus entirely on what it does best — structuring intelligence for AI, rather than maintaining complex infrastructure. This not only accelerates scalability but ensures accuracy, depth, and reliability across every subgraph and query.
This is the next step in GraphAI’s evolution, from indexing data to orchestrating intelligence.
Read more about the transition and what it means for the future of GraphEngine in our recent article:
🔗 https://medium.com/@graphAI.tech/scaling-smarter-evolving-graphengines-data-ingestion-for-the-multi-chain-future-74d3311ddf47
https://x.com/GraphAIOfficial/status/1983911778259235246
We’re thrilled to announce that GraphAI has officially integrated with Allium, marking a major milestone in our mission to deliver real-time, multi-chain intelligence for AI.
This integration transforms how GraphEngine ingests blockchain data, moving from manual decoding pipelines to fully structured, pre-decoded event streams with near-zero latency. The result: faster cross-chain scaling, seamless historical data backfilling, and cleaner, context-rich outputs from AI models and agents.
With Allium powering decoded data ingestion, GraphEngine can now focus entirely on what it does best — structuring intelligence for AI, rather than maintaining complex infrastructure. This not only accelerates scalability but ensures accuracy, depth, and reliability across every subgraph and query.
This is the next step in GraphAI’s evolution, from indexing data to orchestrating intelligence.
Read more about the transition and what it means for the future of GraphEngine in our recent article:
🔗 https://medium.com/@graphAI.tech/scaling-smarter-evolving-graphengines-data-ingestion-for-the-multi-chain-future-74d3311ddf47
https://x.com/GraphAIOfficial/status/1983911778259235246
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GraphAI – Month Four Recap
October marked a defining step for GraphAI as we moved toward the public launch of GraphEngine V1 - scaling across chains, deepening automation, and giving users more powerful tools to build and monetize real-time blockchain intelligence.
Core Development & Platform Progress
• Allium Integration - GraphEngine now ingests fully decoded, multi-chain data streams for real-time, scalable, and context-rich intelligence.
• DEX Lens - Live in Closed Beta, tracking liquidity, volume, and yields across Aerodrome, Uniswap, and other Base DEXs.
• My Subgraphs Dashboard - Creators can now manage, edit, and resubmit subgraphs in one unified workspace.
• Privacy Controls & Profiles - Subgraphs can be private or public; profiles now feature X and GitHub integration.
• GraphAI Widget & Bots - New embeddable widget and chat bots bring GraphAI intelligence to websites and very soon also to Telegram and Discord.
Integrations and Ecosystem Growth
• GraphAI × Allium – Delivering real-time, multi-chain decoded data ingestion for faster scalability and cleaner, context-rich AI outputs.
• GraphAI × x402 – Introducing micropayment-based, pay-per-query access to intelligence for frictionless monetization and real-time settlement.
• GraphAI × Mute – Powering private DeFi analytics for Mute’s cross-chain Privacy AI Agent.
• GraphAI × Phala Network – Enabling privacy-first computing through Confidential VMs for verifiable, secure execution.
• GraphAI × AI Rocket – Building self-aware market ecosystems where tokens adapt and react intelligently in real time.
Community and Ecosystem Expansion
• Demo 3 showcased MCP integration with Claude’s Opus 4.1, connecting GraphEngine subgraphs directly to LLM reasoning systems.
• Continued publication of DevLogs sharing detailed engineering progress and insights.
• Expanded community channels and developer engagement through social integrations, chatbots, and GitBook documentation.
• Introduced GraphPools which will allow users to co-own AI intelligence through $GAI-backed, tokenised subgraph collections that turn data into liquid, revenue-generating assets.
Looking Ahead to November
• GraphEngine V1 Public Launch
• Full rollout of the Allium-powered multi-chain ingestion pipeline
• Launch of new GraphAI Lenses expanding DeFi and wallet analytics
• Introduction of external data streams including pricing and sentiment feeds
• Public subgraph deployment and query-based $GAI revenue generation
• Announcements of new strategic partnerships and integrations across top Web3 and AI infrastructure projects
https://x.com/GraphAIOfficial/status/1984653398218850364
October marked a defining step for GraphAI as we moved toward the public launch of GraphEngine V1 - scaling across chains, deepening automation, and giving users more powerful tools to build and monetize real-time blockchain intelligence.
Core Development & Platform Progress
• Allium Integration - GraphEngine now ingests fully decoded, multi-chain data streams for real-time, scalable, and context-rich intelligence.
• DEX Lens - Live in Closed Beta, tracking liquidity, volume, and yields across Aerodrome, Uniswap, and other Base DEXs.
• My Subgraphs Dashboard - Creators can now manage, edit, and resubmit subgraphs in one unified workspace.
• Privacy Controls & Profiles - Subgraphs can be private or public; profiles now feature X and GitHub integration.
• GraphAI Widget & Bots - New embeddable widget and chat bots bring GraphAI intelligence to websites and very soon also to Telegram and Discord.
Integrations and Ecosystem Growth
• GraphAI × Allium – Delivering real-time, multi-chain decoded data ingestion for faster scalability and cleaner, context-rich AI outputs.
• GraphAI × x402 – Introducing micropayment-based, pay-per-query access to intelligence for frictionless monetization and real-time settlement.
• GraphAI × Mute – Powering private DeFi analytics for Mute’s cross-chain Privacy AI Agent.
• GraphAI × Phala Network – Enabling privacy-first computing through Confidential VMs for verifiable, secure execution.
• GraphAI × AI Rocket – Building self-aware market ecosystems where tokens adapt and react intelligently in real time.
Community and Ecosystem Expansion
• Demo 3 showcased MCP integration with Claude’s Opus 4.1, connecting GraphEngine subgraphs directly to LLM reasoning systems.
• Continued publication of DevLogs sharing detailed engineering progress and insights.
• Expanded community channels and developer engagement through social integrations, chatbots, and GitBook documentation.
• Introduced GraphPools which will allow users to co-own AI intelligence through $GAI-backed, tokenised subgraph collections that turn data into liquid, revenue-generating assets.
Looking Ahead to November
• GraphEngine V1 Public Launch
• Full rollout of the Allium-powered multi-chain ingestion pipeline
• Launch of new GraphAI Lenses expanding DeFi and wallet analytics
• Introduction of external data streams including pricing and sentiment feeds
• Public subgraph deployment and query-based $GAI revenue generation
• Announcements of new strategic partnerships and integrations across top Web3 and AI infrastructure projects
https://x.com/GraphAIOfficial/status/1984653398218850364
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GraphAI Spaces #8:
From Subgraphs to Superintelligence - ASI:One Integration
Wed, 5th Nov | 4PM UTC
Join us LIVE with our special guests Fetch ai - diving into how GraphAI and ASI:One are building toward the next era of autonomous, intelligent systems.
Topics include:
🔹 The ASI:One × GraphAI integration
🔹 Live AI reasoning & real-time data intelligence
🔹 The path from subgraphs to superintelligence
Set your reminders!!
https://x.com/i/spaces/1LyxBXOWkAyGN
https://x.com/GraphAIOfficial/status/1985019596764831799
From Subgraphs to Superintelligence - ASI:One Integration
Wed, 5th Nov | 4PM UTC
Join us LIVE with our special guests Fetch ai - diving into how GraphAI and ASI:One are building toward the next era of autonomous, intelligent systems.
Topics include:
🔹 The ASI:One × GraphAI integration
🔹 Live AI reasoning & real-time data intelligence
🔹 The path from subgraphs to superintelligence
Set your reminders!!
https://x.com/i/spaces/1LyxBXOWkAyGN
https://x.com/GraphAIOfficial/status/1985019596764831799
❤1
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VIEW IN TELEGRAM
Charts tell you what happened. We care about what’s happening.
GraphEngine: observe, validate, automate.
https://x.com/GraphAIOfficial/status/1985346843694493777
GraphEngine: observe, validate, automate.
https://x.com/GraphAIOfficial/status/1985346843694493777
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Spotlight Feature: User Profiles - Powering Identity in GraphAI
Creators can now build User Profiles in GraphAI, complete with optional bios, handles, and linked X (Twitter) or GitHub accounts.
Profiles give every subgraph a visible creator, adding authenticity and discoverability while remaining fully optional for privacy-conscious users.
These profiles will play a key role in GraphPools, where verified creators and curators can build reputations, attract backers, and share in data-driven rewards.
Now live in GraphEngine Closed Beta. Set up your profile, link your socials, and start building your identity in the AI data economy.
https://x.com/GraphAIOfficial/status/1985738635074027591
Creators can now build User Profiles in GraphAI, complete with optional bios, handles, and linked X (Twitter) or GitHub accounts.
Profiles give every subgraph a visible creator, adding authenticity and discoverability while remaining fully optional for privacy-conscious users.
These profiles will play a key role in GraphPools, where verified creators and curators can build reputations, attract backers, and share in data-driven rewards.
Now live in GraphEngine Closed Beta. Set up your profile, link your socials, and start building your identity in the AI data economy.
https://x.com/GraphAIOfficial/status/1985738635074027591
X (formerly Twitter)
GraphAI (@GraphAIOfficial) on X
Spotlight Feature: User Profiles - Powering Identity in GraphAI
Creators can now build User Profiles in GraphAI - complete with optional bios, handles, and linked X (Twitter) or GitHub accounts.
Profiles give every subgraph a visible creator, adding authenticity…
Creators can now build User Profiles in GraphAI - complete with optional bios, handles, and linked X (Twitter) or GitHub accounts.
Profiles give every subgraph a visible creator, adding authenticity…
❤2
We’re LIVE.
Join the conversation with Fetch_ai as we dive into the future of AI × On-chain Intelligence with the ASI:One integration.
https://x.com/i/spaces/1LyxBXOWkAyGN
https://x.com/GraphAIOfficial/status/1986101305958609202
Join the conversation with Fetch_ai as we dive into the future of AI × On-chain Intelligence with the ASI:One integration.
https://x.com/i/spaces/1LyxBXOWkAyGN
https://x.com/GraphAIOfficial/status/1986101305958609202
❤1
As part of GraphAI’s transition to the new Allium-powered data ingestion model, all existing subgraphs will be cleared within the next 12 hours.
This reset ensures full compatibility with our upgraded, multi-chain infrastructure and cleaner, decoded event streams leading up to the launch of GraphEngine V1.
Please back up any essential configurations before the migration completes.
https://x.com/GraphAIOfficial/status/1987898121926709528
This reset ensures full compatibility with our upgraded, multi-chain infrastructure and cleaner, decoded event streams leading up to the launch of GraphEngine V1.
Please back up any essential configurations before the migration completes.
https://x.com/GraphAIOfficial/status/1987898121926709528
X (formerly Twitter)
GraphAI (@GraphAIOfficial) on X
As part of GraphAI’s transition to the new @AlliumLabs-powered data ingestion model, all existing subgraphs will be cleared within the next 12 hours.
This reset ensures full compatibility with our upgraded, multi-chain infrastructure and cleaner, decoded…
This reset ensures full compatibility with our upgraded, multi-chain infrastructure and cleaner, decoded…
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GraphAI DevLog 14 – Wallet Intelligence & Web3-Scale Ingestion
Over the past two weeks, GraphEngine has shifted from “just fast” to truly scale-ready and wallet-aware. The focus has been on fully activating our Allium-powered ingestion, building the foundations for Wallet Lens, and hardening the pipelines that will carry multi-chain data into AI at production scale.
✅ Allium Decoded Logs – All subgraphs now consume clean, pre-decoded blockchain events, simplifying ingestion and unlocking reliable multi-chain and historical analysis.
✅ Native Transfers Ingestion – A new service tracks ETH and other native token transfers, giving us the full financial story behind every monitored wallet.
✅ Wallet Lens – We kicked off and tested Wallet Lens on Base, transforming raw addresses into unified views of ERC20 activity and wallet behaviour.
✅ High-Throughput SQS Pipeline – Parallel workers, smarter caching and I/O optimisation now let GraphEngine process hundreds of events per second with minimal lag.
✅ Chat Integrations Page – A new hub makes it easy to connect GraphAI to Telegram, Discord and custom sites so users can query subgraphs where they already are.
✅ Centralised Logging & Observability – CloudWatch logging across EC2 instances gives deep visibility into ingestion and processing, making debugging and scaling far more predictable.
With these upgrades, GraphEngine is evolving into a high-throughput, wallet-native, multi-chain data engine – built to power the next wave of AI agents, analytics and applications. All in preparation of our upcoming GraphEngine v1 launch.
🔗 Full DevLog: https://medium.com/@graphAI.tech/wallet-intelligence-and-web3-scale-ingestion-5115b15f3354
https://x.com/GraphAIOfficial/status/1987965986713317603
Over the past two weeks, GraphEngine has shifted from “just fast” to truly scale-ready and wallet-aware. The focus has been on fully activating our Allium-powered ingestion, building the foundations for Wallet Lens, and hardening the pipelines that will carry multi-chain data into AI at production scale.
✅ Allium Decoded Logs – All subgraphs now consume clean, pre-decoded blockchain events, simplifying ingestion and unlocking reliable multi-chain and historical analysis.
✅ Native Transfers Ingestion – A new service tracks ETH and other native token transfers, giving us the full financial story behind every monitored wallet.
✅ Wallet Lens – We kicked off and tested Wallet Lens on Base, transforming raw addresses into unified views of ERC20 activity and wallet behaviour.
✅ High-Throughput SQS Pipeline – Parallel workers, smarter caching and I/O optimisation now let GraphEngine process hundreds of events per second with minimal lag.
✅ Chat Integrations Page – A new hub makes it easy to connect GraphAI to Telegram, Discord and custom sites so users can query subgraphs where they already are.
✅ Centralised Logging & Observability – CloudWatch logging across EC2 instances gives deep visibility into ingestion and processing, making debugging and scaling far more predictable.
With these upgrades, GraphEngine is evolving into a high-throughput, wallet-native, multi-chain data engine – built to power the next wave of AI agents, analytics and applications. All in preparation of our upcoming GraphEngine v1 launch.
🔗 Full DevLog: https://medium.com/@graphAI.tech/wallet-intelligence-and-web3-scale-ingestion-5115b15f3354
https://x.com/GraphAIOfficial/status/1987965986713317603
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