GraphEngine V1 Go-Live is exciting and a major milestone, but what comes next is even bigger.

Our enterprise partners matter just as much. Think PayFi. Think stablecoins.
A new class of on-chain reporting, intelligence and automation is on the way.

More details soon.

https://x.com/GraphAIOfficial/status/1996992705633964345

Three days into launch and GraphEngine V1 has crossed 500+ queries.

Your free credits are live. Now’s the perfect time to test subgraphs, wallet insights, and natural language queries.

We’ll soon enter the paid-credit phase where the GraphAI revenue loop activates.

https://x.com/GraphAIOfficial/status/1997346851083722847

A huge week comes to a close. GraphEngine V1 is live, queries are flowing, Wallet Lens is active, and real on-chain intelligence is now in the hands of builders.

Thank you to everyone who showed up, tested, pushed, and supported.

This is only the beginning. Next week we’ll share how GraphAI is stepping deeper into the payments and stablecoin ecosystem, bringing real-time analytics and transaction flow intelligence to an entirely new frontier.

Stay Tuned.

https://x.com/GraphAIOfficial/status/1997706012359536958

GraphAI DevLog 16 – Decoding the Agent.

Over the last two weeks, GraphEngine took the critical step from powerful beta to enterprise-ready infrastructure. Our focus was on enhancing AI transparency, guaranteeing data fidelity for financial reporting, and launching the foundational on-chain payment system for V1.

Here’s what landed:

✅ Transparent Reasoning: Agents now show their work (tool calls and logic) during complex queries, making insights faster, verifiable, and building user trust.

✅ Wallet Fidelity Locked: Reconstructed missing swap events and guaranteed multi-wallet reliability for 100% accurate P&L and financial behavioral analysis.

✅ On-Chain Revenue Pipeline: Launched the full subnoscription tier structure and a robust, secure on-chain payment system, moving V1 into a monetized environment.

✅ Historical Data Foundation: Completed core analysis and documentation for Allium backfill, laying the essential groundwork for full, multi-year chain history intelligence.

✅ Enterprise Readiness: Implemented key compliance safeguards (AI Warning Banner, ToS) and foundational cost analytics to manage sustainable scaling.

These upgrades establish GraphAI as the intelligence layer with guaranteed data fidelity, a scalable economic engine, and the auditable foundation required for institutional adoption. Expect faster insights and a robust $GAI-powered platform.

🔗 Full DevLog: https://medium.com/@graphAI.tech/decoding-the-agent-bb8aa0c33f19?postPublishedType=initial

https://x.com/GraphAIOfficial/status/1998065141401719107

It’s Official: GraphAI joins the Circle Alliance Program!

Official Link & Partner Listing: https://partners.circle.com/partner/graphai

As trillions in value move across the transparent rails of USDC and the emerging PayFi ecosystem, the missing piece is intelligence. GraphAI fills that gap, transforming raw stablecoin activity into real-time knowledge graphs for enterprise AI systems.

We are building the brain for the next generation of digital payments. Here’s why this alliance matters.

This alliance opens the door for GraphAI to bring AI-native intelligence to the financial rails of tomorrow. Our knowledge-graph engine will directly power critical enterprise use cases:

Automated Reconciliation: Turning hours of manual accounting into seconds of AI intelligence.

Treasury Optimization: Real-time monitoring of risk, liquidity, and cross-chain movement.

Compliance & Reporting: Providing the auditable context needed for business intelligence and regulatory oversight.

The scale is massive. Stablecoin transaction volume is already rivaling major card networks. As this segment explodes, the demand for AI-native analysis and reconciliation will trigger a huge query surge on GraphEngine. This exponential growth directly fuels the $GAI credit economy and reinforces our position as core financial infrastructure.

Stablecoins are becoming the settlement layer of the internet. By aligning with Circle, GraphAI ensures that massive shift is powered by deep, verifiable, AI-native insight.

This is how an AI protocol becomes essential financial infrastructure.

https://x.com/GraphAIOfficial/status/1998423355192684664

Stablecoins are becoming the backbone of global commerce, but settlement alone isn’t enough. The future needs intelligence.

With GraphAI now joining the Circle Alliance Program, we’re stepping into the center of the PayFi ecosystem, where real-time reporting, flow analytics, compliance reasoning, and treasury automation become mission-critical for enterprises.

This article outlines what’s changing and why GraphAI is poised to power the intelligence layer of digital money.

🔗 Article Link: https://medium.com/@graphAI.tech/beyond-settlement-22b32a1c8f3d?postPublishedType=initial

https://x.com/i/status/1998785444658708569

GraphEngine V1 is over a week live and the first signs of the intelligence economy are here.

Paid credits in $GAI are now flowing, accumulation has begun, and the flywheel is turning.
Long-term value creation starts with real usage and this is step one.

https://x.com/i/status/2000115729417556062

GraphAI Bi-Weekly Recap

Here's everything we shipped and announced across GraphAI, GraphEngine, and our growing intelligence ecosystem over the past two weeks.

Product Spotlight – Wallet Lens
GraphEngine’s first full wallet intelligence module is now live.
Wallet Lens delivers real-time insights powered by decoded logs, native transfers, and AI-driven graph analysis, providing a new level of transparency into wallet behavior.
🔗https://x.com/GraphAIOfficial/status/1995531129626263731

GraphEngine V1 is LIVE - First on Base
No SQL. No subgraph coding. Just ask.
GraphEngine V1 is officially live and launching first on Base, enabling anyone to query live on-chain activity in natural language.
🔗https://x.com/GraphAIOfficial/status/1996230434624279010

Ecosystem Highlight with Base
We’re grateful to the @base team for powering the next phase of on-chain AI.
Together, we're building the foundation for AI-native infrastructure.
🔗https://x.com/GraphAIOfficial/status/1997097381268279712

DevLog 16 – Decoding the Agent
Over the past two weeks, we made major progress toward enterprise-grade infrastructure.
Highlights include:
- Transparent Reasoning for agent outputs
- Improved Wallet Fidelity for reliable financial analysis
- On-Chain Revenue System with full subnoscription support
- Historical Backfill Foundations for long-term data access
- Enterprise Readiness via AI disclaimers, compliance, and cost controls
GraphAI is now equipped for institutional-grade transparency, fidelity, and monetisation.
🔗https://x.com/GraphAIOfficial/status/1998065141401719107

GraphAI Joins the Circle Alliance
We’ve joined the Circle Alliance Program, a global network building the next wave of USDC-powered on-chain apps.
Looking forward to driving new possibilities at the intersection of stablecoins and real-time intelligence.
🔗https://x.com/GraphAIOfficial/status/1999007523852935491

Beyond Settlement – Why GraphAI Powers the Intelligence Layer
Stablecoins solved transfer. The next frontier is insight.
Our latest article explains how GraphAI brings real-time reporting, treasury automation, and compliance intelligence to the heart of PayFi.
🔗https://x.com/GraphAIOfficial/status/1999008286734221751

Intelligence Economy Activated
GraphEngine V1 is officially generating revenue.
Since launch:
- 1.5k+ Queries executed.
- 38 Account interactions.
- 24,000+ $GAI accumulated in protocol treasury.
The usage → credit → $GAI loop has begun.
Real value. Real burn. Real feedback.
🔗https://x.com/GraphAIOfficial/status/2000115729417556062

What’s Coming Next Week…

Flywheel Deep Dive
A full breakdown of how credits, treasury accumulation, subgraph rewards, and $GAI burns form the new value engine behind GraphAI.

Platform Case Study Series
Real examples of GraphEngine tech in action, showcasing impact, use cases, and developer success.

Historical Data Backfill Launch
Subgraphs will soon support full-chain history, unlocking P&L analysis, behavioral modeling, and time-series intelligence.

Road to GraphPools
We’ll share what’s next as we move toward collaborative, composable subgraph funding through GraphPools.

A massive two weeks and we’re only just getting started. The $GAI intelligence economy is live, and momentum is accelerating.

Stay tuned.

https://x.com/GraphAIOfficial/status/2000237185266860355

GraphAI Spaces #9

GraphEngine V1: Live, Scaling & Monetising On-Chain Intelligence

Thu, 18th Dec | 4PM UTC

Join the GraphAI team as we break down what’s live in V1, how the intelligence economy works, and what’s coming next.

Speakers: Anis, Akhil, Mridul
Host: T

Set your reminders!!

https://x.com/i/spaces/1BdxYZOQqpQKX

https://x.com/i/status/2000596719885582692

An Overview of GraphAI’s Usage-Driven Token Utility
We recently shared our first full GraphEngine usage metrics. Queries processed, user interactions, and $GAI accumulated since paid credits went live.
These numbers aren’t arbitrary stats; they are direct inputs into GraphEngine’s economic design and the $GAI token mechanics.

EVERY ACTION CREATES BUY PRESSURE
Every meaningful interaction on GraphEngine requires credits, and credits are purchased using $GAI. Queries, Wallet Lens, agents, intelligence workflows; all of it now translates directly into token demand.
Usage is no longer abstract. It’s economic.

DEMAND IS CAPTURED, NOT LEAKED
When credits are purchased, $GAI flows directly into the protocol treasury. It doesn’t get recycled, diluted, or farmed away, it’s captured at the core.
This is infrastructure designed to retain value, not bleed it.

TOKEN BURNS, DEFLATION, APPLIED WITH INTENT
From the treasury, $GAI is periodically burned at moments the team deems most effective. Each burn permanently reduces circulating supply and concentrates value back to holders.
As usage scales, the impact of these burns compounds.

BUILDERS ARE PAID FOR REAL IMPACT
Subgraph creators earn when their work is actually used. If your intelligence powers queries, you get rewarded proportional to real activity.
No hype incentives. No vanity metrics. Just usage-driven revenue.

A TREASURY BUILT TO EXPAND DEMAND
Treasury-held $GAI also forms a reserve for ecosystem growth. These funds support builders, integrations, incentives, and initiatives that bring in more users and more usage.
Growth is funded by demand, not dilution.

A SELF-REINFORCING MACHINE
Usage drives credit purchases. Credit purchases accumulate $GAI. That $GAI is burned, distributed to contributors, or reinvested to grow the network, pulling in even more demand.
This is a compounding flywheel, not a one-off moment.

THIS IS JUST THE START
The flywheel is no longer theoretical. It’s live and turning. Credits are being purchased, $GAI is accumulating, and GraphEngine V1 is doing exactly what it was designed to do.
This is what happens when intelligence becomes infrastructure.

https://x.com/GraphAIOfficial/status/2000959996063015397

A reminder to our community.

We’ll be hosting our next Spaces tomorrow at 4PM UTC. The team will walk through the progress behind GraphEngine V1, how real usage is now translating into $GAI utility, and how we’re driving value back into the ecosystem through the platform.

We’ll also share early insight into an upcoming builder-focused initiative designed to support teams building real applications on GraphEngine, from wallet analytics and trading intelligence to PayFi and onchain automation. This program is aimed at turning developer effort into sustained usage and long-term ecosystem growth.

Set the reminder and tune in.
https://x.com/i/spaces/1BdxYZOQqpQKX

https://x.com/i/status/2001324196455170286

We’re LIVE.

Join the conversation, as we we break down what’s live in V1, how the intelligence economy works, and what’s coming next.

https://x.com/i/spaces/1BdxYZOQqpQKX

https://x.com/GraphAIOfficial/status/2001683811038552457

GraphAI DevLog 17 - From Live Signals to Full History

Over the last two weeks, we expanded GraphEngine beyond live-only intelligence, delivering safe historical backfilling for Token Lens alongside stronger lifecycle controls and monetization alignment.

Here’s what landed:

✅ Token Lens Backfilling – Query recent historical on-chain events before transitioning to live mode, with explicit lifecycle states that prevent partial or inconsistent data.

✅ Subnoscription-Aware Lifecycles – Grace and suspension states now enforce plan compliance while giving users a clear recovery window.

✅ Paid Request Prioritization – Fast-track subgraph requests using $GAI, aligning execution speed with economic signal.

✅ Flexible Backfill Controls – Optional live ingestion during backfills and a structured path for extended, enterprise-grade requests.

These upgrades move GraphEngine closer to production-grade infrastructure, enabling deeper analysis while preserving system stability and cost controls.

Full DevLog: https://medium.com/@graphAI.tech/from-live-signals-to-full-history-823e38a35d53

https://x.com/GraphAIOfficial/status/2003142631950282978

Product Spotlight: Data Backfilling
Data Backfilling is now live in GraphEngine, unlocking the ability to analyse on-chain history before live tracking begins.
This marks a major step forward, moving from purely real-time monitoring to full context-aware on-chain intelligence.

At a simple level, backfilling allows GraphEngine to ingest and process historical blockchain events within a defined window.
Instead of starting analysis “from now,” users can now ask: what happened before, how did it start, and how did it evolve?

When a Lens is created with backfilling enabled, GraphEngine first reconstructs historical activity, then seamlessly transitions into live ingestion.
This ensures users never see partial or misleading data. History is complete before intelligence goes live.

This dramatically expands what users can do with GraphEngine.
Instead of just reacting to live events, you can now analyse early behaviour, launch dynamics, initial liquidity flows, and pre-existing patterns that shape everything that follows.

One powerful outcome of backfilling is the foundation for entirely new Lenses, for example the ability to analyse token launches. This enables deep analysis of how tokens launch on-chain: early transfers, initial swaps, liquidity actions, and behavioural shifts in the first critical moments.

Backfilling moves GraphEngine beyond one-dimensional scanner bots.
Instead of isolated alerts or single-event triggers, GraphEngine builds a connected historical graph that AI can reason over to understand cause, sequence, and context.

This is where AI-native analysis changes the game.
Rather than asking “did something happen?”, users can ask why it happened, what led up to it, and how early behaviour shaped later outcomes, all in natural language.

Combined with Wallet Lens and live ingestion, backfilling turns on-chain data into a continuous story.
History, real-time signals, and behavioural patterns are unified into a single intelligence layer that agents, analysts, and applications can build on.

Backfilling isn’t just a feature, it’s a shift in how on-chain analysis works.
From launch intelligence to behavioural context, GraphEngine is setting a new standard: AI that understands the past, reasons in the present, and scales into the future.

https://x.com/GraphAIOfficial/status/2003860329609166882

Season’s greetings to the GraphAI Community!

This year was about designing systems, proving ideas in practice, and building the foundations for intelligent, on-chain infrastructure alongside a dedicated group of builders and supporters.

Thank you for being part of the journey and we’re looking forward to continuing to push what’s possible together in the year ahead.

https://x.com/i/status/2004233737492680980

GraphEngine Metrics Update

Over the last two weeks, GraphEngine has processed thousands of new queries, delivering AI-driven insight across live on-chain activity. We’ve seen growing user interactions and, importantly, continued use of $GAI to power the protocol flywheel.

As we close out 2025 and head into 2026, this momentum puts GraphAI in a strong position with ambitious plans ahead.

More to share next week.

https://x.com/i/status/2005310478948679789

Deciphering Token Launches with GraphEngine

Understanding a token launch isn’t about reacting to alerts, it’s about seeing how activity unfolds over time. GraphEngine is live and enables end-to-end reconstruction, analysis, and reasoning over token launches from their very first on-chain moments. Instead of snapshots, it provides the full narrative.

Most on-chain tools surface isolated events: a transfer here, a swap there, a liquidity add somewhere else. Each signal appears independently, without sequence, causality, or downstream context. GraphEngine takes a different approach by rebuilding the entire story before drawing conclusions.

Through historical backfilling, GraphEngine ingests on-chain activity from the moment a token first appears. Early transfers, initial swaps, liquidity provisioning, and subsequent actions are reconstructed into a single, ordered timeline before live tracking begins. The result is a complete view - no gaps, no partial histories.

With that foundation in place, users don’t query raw logs. They ask meaningful questions: Who participated first? How did liquidity evolve in the first hour? When did behavior materially change? The AI reasons over sequences and phases, not just individual events.

Because the data is modeled as a graph, actions across time are connected. Early transfers link to later swaps; liquidity changes correlate with volume shifts; behavioral patterns align with specific launch phases. What is typically chaotic becomes interpretable and analyzable.

This approach is fundamentally different from one-dimensional launch bots. Rather than merely reporting that something happened, GraphEngine helps explain why it happened and what followed, embedding context directly into the analysis. Insight becomes analytical instead of reactive.

Once backfilling completes, the same lens transitions seamlessly into live mode. Post-launch behavior can be compared against early dynamics in real time, allowing users to spot divergence, decay, or sustained momentum as it unfolds. Historical and live signals form a continuous intelligence layer.

These capabilities are available today on GraphEngine. Soon, the experience will be further streamlined with the upcoming Token Launch Lens, which will simplify setup and abstract configuration. This is the next level of on-chain analysis and it’s already here.

https://x.com/GraphAIOfficial/status/2005672133062783284

As blockchains mature, the challenge is shifting from accessing data to actually understanding it.

With AI increasingly able to reason over history, patterns, and behaviour, on-chain analysis is starting to feel less like monitoring and more like interpretation.

Which on-chain signals matter most when you trade or research?

https://x.com/i/status/2006035941551661208