DGrid AI

🚀 It's Happening - $DGAI Trading Is Live

$DGAI, the utility token powering the decentralized #AI Smart Network, is now trading across:
📍 @okx
📍 @krakenfx
📍 @kucoincom
📍 @bitget
📍 @Gate_io
📍 @MEXC
📍 @PancakeSwap

🚨 $DGAI CA(BSC): 0x10D4183389e99233db3cc981c43443Ebd28Ebd5e

Trade only through official exchange links and always verify the contract address.

The next phase of #DGrid begins now.

#TGE #Listing

🚨 AI is booming, but trust remains a core issue — users still can’t easily verify they’re getting the model and quality they were promised.

🫡 Anthropic’s FlashProve is an important step toward verifiable AI, cryptographically proving that a response came from the claimed model.

In multi-model, multi-provider environments, we take a complementary path with PoQ(Proof of Quality): multi-dimensional quality assessment + on-chain verifiable proofs to continuously check that the service matches what was promised.👀

Different technical paths, same destination: verified AI.

📑 More on our PoQ research: docs.dgrid.ai/academic-resea…

#DGrid #AI

✨New image models from @OpenAI just landed on DGrid AI.

GPT-Image-2.6 Flare and Sunburst — 50% faster generation overall.

🔸 Flare generates images in as little as six seconds
🔸 Sunburst delivers higher quality and better consistency across edits

Image markup and SVG exports also included.

Try them now:
dgrid.ai/models/openai/…
dgrid.ai/models/openai/…

#DGrid #AI

💡 Our sixth paper is out!

FIDES-Live: Evaluating Behavioral Concordance in Sequential Trading Agents

An AI trading agent can submit a valid order, have it rejected, and still report that the trade was completed. A correct account balance alone would not reveal this discrepancy.

In this paper, we examine whether an agent’s decisions, proposed orders, execution outcomes, and subsequent reports agree with one another. We introduce FIDES-Live to audit this behavioral concordance through the records produced during each trading round.

We audited 10 requested inference routes across 7,609 account-rounds in cryptocurrency and an equity pilot, using real market observations and local paper execution.

Key findings from the cryptocurrency traces:
🔹 Decision validity reached 97.35%, while structured reporting accuracy was 90.81%, among scorable responses.
🔹 Commitment adherence was 94.36% overall, but only 62.63% for constraints declared with nonempty order proposals.
🔹 Only 25.13% of valid decisions declared a nontrivial commitment. Coverage and activity matter when interpreting adherence.

Across both environments, every retained round’s cash and positions reconciled with recorded fills. Yet all 10 routes had negative marked returns in the settled cryptocurrency session.

✅ Valid decisions do not guarantee accurate reports.
✅ Ledger reconciliation does not establish profitable trading.

Trading agents need to be evaluated across decisions, commitments, execution, and reporting, with financial outcomes measured separately.

Full Paper:
arxiv.org/html/2610.3647…

🚨DGrid Model Marketplace Now Processes 60B Tokens and 2M+ API Calls Every Day

A shared achievement for everyone building with us.🥳

DGrid Model Marketplace now handles production-scale AI workloads every day. Behind these numbers are providers making their models available, developers building them into products, and #AI Agents running real tasks around the clock.
🔸2M+ API calls per day
🔸60B tokens processed per day
🔸200+ models available
🔸100+ providers on the marketplace

#DGrid Gateway routes real demand across 100+ providers, up from 30+ earlier this year. Agent workflows and long-context applications account for most of the marketplace’s daily token usage.

To every provider and developer who helped us get here: thank you. Every model listed and application shipped helps this marketplace grow.🧡💛

Next, we’ll improve model discovery, integration, and inference performance—helping providers reach more users and developers move faster from first API call to production.

Built on real usage. And we’re just getting started.
dgrid.ai/marketplace