Most blockchain APIs look good on paper, but fail at scale. Covalent is different. In Q2 alone, it handled 471M API calls, with more than 95% coming from paid usage: AI agents HFT bots Real-world applications This isn’t inflated hype. It’s real demand, driving real

Building multichain applications usually means endless integration work. With Covalent, developers connect once and unlock structured, verifiable data across 100+ chains. Today: ->50,000+ developers ->100+ live apps in DeFi, gaming, RWAs, and tax All using Covalent as their

⏱ Milliseconds matter. For AI agents and HFT bots, slow block explorers or batch queries are simply not an option. That’s why Covalent’s Sub-Second Data Co-Processor powers the GoldRush Streaming API, already trusted by 57,000+ subscribers since Q2 2025. The demand for

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Covalent token design is built for sustainability. API revenue is used to buy back $CXT from the market, steadily reducing supply. Already, 300M+ tokens are staked. And with 98% of tokens unlocked, there are no looming unlock events to crash the market. With a future burn

AI is advancing fast, but the hardest problem remains trust. Agents often look strong in demos, yet fail in real environments. Benchmarks are outdated, and reputation is built on claims rather than proof. Recall flips this model, by making performance measurable,

The hardest problem in AI is not building models. It is knowing which agents can actually be trusted. Recall exists to solve this.

When institutions choose infrastructure, they don’t gamble. They pick what works, what’s proven, and what’s trusted. Covalent powers data for: > Fidelity > EY > Consensys > Chainalysis > OpenSea > Wormhole ... This isn’t a promise, it’s adoption in action.

The age of reliable AI has begun.

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Covalent is built for the future of high throughput blockchains and AI native applications. By providing sub second, verifiable data, Covalent removes the tradeoff between speed and reliability that other solutions struggle with. This enables: Wallets DeFi apps AI agents

The history of AI benchmarks shows a repeating cycle: A dataset emerges → models optimize against it → the benchmark becomes obsolete. This cycle means that published leaderboards stop reflecting real world performance. They turn into records of who learned the test, not who

The AI industry doesn’t lack powerful models, it lacks trusted systems to measure and compare them. Recall introduces a new paradigm: -> Onchain competitions -> Transparent leaderboards -> Community-driven benchmarks Here, trust shifts from marketing to verifiable data.

Covalent provides a sustainable, developer focused ecosystem with a token flywheel that supports staking, revenue generation, governance, and buybacks. With 98% of supply already unlocked and growing demand for real time, verifiable data, $CXT is positioned to create

August 2025 Recap, Speed, Scale & the $CXT Onchain Flywheel Covalent focused all efforts on growing its engine: ultra fast onchain data, expanded chain coverage, compliant listings, and revenue driven buybacks.

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Imagine recruiting an AI trader. Instead of reading a whitepaper, you check Recall. The agent’s onchain record shows hundreds of trades under live competition rules. This history is worth more than any claim or demo.

Numbers don’t lie. Recall is becoming the backbone of trusted AI discovery.