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AT to USDT Converter
1 AT = 0.132117 USDT · updated 06:21 UTC
Volume Bubbles Chart (1h)
Each 1-hour candle's volume is signed by its direction (up candles count as net buying, down candles as net selling) and drawn as a bubble at the closing price, green for buying and red for selling. Bubble size and colour intensity show how strong that flow is compared with the last 300 candles: the strongest 30% get full bubbles with their USD value, the rest stay as small dots. Unusually large bubbles flag aggressive buying or selling worth a closer look, often near breakouts, reversals or key levels.Seasonal Chart
Plots one line per calendar year showing the % change since the start of that year, with the current year highlighted against up to four previous years. Lining the years up on the same calendar shows whether the price tends to rise or fall in the same months, helping you spot recurring seasonal patterns. Treat it as context rather than a forecast: past seasonality does not guarantee future moves.Apro Markets
Apro Historical Data
About Apro (AT)
Apro builds oracle infrastructure intended to deliver external data to smart contracts. Its documentation separates Data Push from Data Pull, giving developers different ways to obtain information depending on how an application consumes it. This distinction matters because a contract that needs continuously refreshed prices has different operating needs from one that requests a report only when a transaction requires it. APRO Data Pull is designed around on-demand retrieval. A developer obtains a report containing a price, timestamp and signatures from the Live-Api service, then submits it for verification by an on-chain contract. If verification succeeds, the report's price data is stored on-chain for later use. This architecture aims to reduce the need for constant on-chain updates when applications only need data at selected moments. Data Push follows a different pattern: independent node operators collect data and publish updates when configured time intervals or price thresholds are reached. APRO's documentation presents price feeds across several blockchain networks, so builders need to check the supported feed and chain rather than assume every asset is available everywhere. Oracle coverage, update rules and integration requirements should be evaluated per deployment.
Data delivery: push or pull
The two delivery models are not interchangeable in every application. A lending contract may need a predictable update cadence, while a transaction-triggered operation may prefer a report fetched when required. Developers should examine freshness, verification and fallback behavior before connecting an oracle to a contract that can move collateral or settle financial positions.
Reports and on-chain verification
APRO's Data Pull guide describes a report with the value, timestamp and signatures. The consuming contract verifies the report before accepting its data. That is a concrete implementation detail, not a blanket guarantee that every source is error-free. Integrators still need to assess data provenance, staleness limits, contract security and the consequences of a rejected or delayed report.
AT and the protocol ecosystem
AT is the project token associated with Apro. Token utility and market trading are separate questions from whether a particular oracle feed is supported. Before relying on token-related functions, readers should check the current official token documentation and network deployment details; oracle documentation alone does not establish that staking, governance or every proposed token feature is live.
What developers should check
Apro is relevant to teams building contracts that depend on external prices or other data. The practical review starts with the requested asset, target chain, delivery mode, update conditions, report verification and service access. A feed listed for one chain should not be assumed to exist on another, and a successful test integration does not by itself prove production availability or economic reliability.
Risks and limitations
Oracle systems introduce dependencies on data sources, node operators, update cadence, signing and smart-contract implementation. A correct report can still be unsuitable if it is stale for the application, and an unavailable feed can interrupt a contract workflow. Users should not treat AT as a guarantee of oracle accuracy or future returns. Check official technical pages for current capabilities and deployment-specific conditions.
Last reviewed: Oct 9, 2026
Apro (AT) FAQ
What is Apro (AT)?
Apro is an oracle infrastructure project that provides data services for smart contracts. Its official docs describe separate push-based and pull-based delivery models, including on-chain verification of signed reports. The exact feed, chain and update policy depend on the integration, so developers should consult the relevant product documentation before using a feed in production.
What is AT used for?
AT is the token associated with Apro, while the oracle products deliver data to applications. These are related parts of the project but not the same function: a price-feed integration does not automatically require every user to hold AT. Check current official token documentation for supported utility rather than inferring token functions from the data-service API.
How does APRO Data Pull work?
The Data Pull guide describes a report containing a price, timestamp and signatures. A developer retrieves the report through the Live-Api service and submits it to the on-chain contract for verification. If verification succeeds, the contract stores the report data. Applications still need rules for freshness and handling unavailable or rejected reports.
What is the difference between Data Push and Data Pull?
Data Push publishes updates when time or price-threshold conditions are met. Data Pull lets an application request a report when it needs one, then verify it on-chain. The best fit depends on contract design, required freshness and operating cost. Neither model removes the need to check the exact feed and supported network.
Does Apro provide price feeds on multiple chains?
APRO's documentation lists price-feed services across multiple blockchain networks, but support is feed-specific. Developers should verify the asset, chain and delivery model in the current catalog before deployment. Availability on one EVM network should not be interpreted as automatic support on every network or for every asset.
How are APRO reports verified?
For Data Pull, the documented report includes a value, timestamp and signatures, and the receiving contract verifies the report before accepting it. That protects the integration from accepting an unsigned or invalid report, but it does not guarantee the underlying source is always correct or sufficiently fresh for every application.
Does AT have staking or governance?
Do not assume those functions from the existence of the token. APRO's data-service documentation explains oracle delivery and report verification, which are separate from token governance or staking mechanics. Confirm any currently active AT staking or voting feature through official token documentation and the applicable network interface before relying on it.
What is AT's all-time high?
For Apro, the market record is $0.8594, dated Oct 24, 2025. This all-time high is not limited to FMchart's selected window. Feed coverage and exchange history can differ, so read the recorded date alongside the Price Statistics panel and treat the figure as historical context rather than a target.
How has AT performed historically?
FMchart's composite chart shows the available historical price series for Apro, with its start date visible in the chart. Monthly and yearly results depend on the exchanges and dates represented in that series. The project's documented mechanics describe network design, not a reliable prediction of future market returns.
What risks matter when using Apro?
The main technical risks include stale data, missing feeds, delayed updates, report-verification failures and vulnerabilities in the consuming contract. APRO's push and pull designs address different delivery patterns, but application teams must set suitable freshness rules and test failure handling. Token ownership does not remove those integration risks or guarantee financial outcomes.