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OpenLedger

OPEN/USD #626 Crypto
$0.0902−1.12%24h
24h Range
$0.0890$0.0925

OPEN to USDT Converter

1 OPEN = 0.0903491 USDT · updated 06:19 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.

OpenLedger Markets

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OpenLedger Historical Data

About OpenLedger (OPEN)

OpenLedger is an AI-focused blockchain project built around attribution for data used by models and applications. Its documentation describes a Proof of Attribution system intended to identify which data influences model outputs and connect contribution with rewards. OPEN is the network's ERC-20 token and is described as gas for the OpenLedger AI blockchain, a payment token for inference and model-related services, and a reward mechanism for contributors. These are protocol-design claims; actual rewards depend on product implementation and usage.

Proof of Attribution

OpenLedger's attribution system is intended to trace how data contributes to a model's output. The project says contributors can be rewarded in OPEN when their data has influence, rather than receiving credit only through a static label or reputation. The quality of this mechanism depends on attribution methodology, evaluation design and whether the claimed contribution can be measured reliably.

OPEN for gas and AI services

The official tokenomics page lists OPEN as the token used for activity on the OpenLedger AI blockchain. It also describes OPEN as the fee token for inference and building models. This connects the token to network operations, but it does not imply that every model or API currently accepts OPEN in every context; check current product support.

Models, inference and contributors

OpenLedger describes a flow in which developers publish models and users pay to query them, with value intended to reach model owners and data contributors. This is an economic design, not a guarantee that any particular model will attract users or generate rewards. Model quality, demand, licensing and attribution rules can all affect outcomes.

Supply and allocation

The OpenLedger Foundation tokenomics page lists a total supply of one billion OPEN and an initial circulating amount of 21.55%. It allocates 61.71% to community and ecosystem purposes, with separate categories for contributors and other stakeholders. These figures describe the published token allocation, not current circulating supply or a guarantee that every allocation is already distributed.

Governance and practical risks

The utility page describes governance participation as a planned or developing function alongside gas, inference payments and rewards. Readers should distinguish features already active from those described as future integration. AI attribution, model licensing, data privacy, token volatility and smart-contract security are separate concerns; a token cannot by itself guarantee accurate or lawful AI outputs. The allocation page also explains that a large share is earmarked for community and ecosystem activity, but an allocation category is not identical to the circulating amount. Unlock schedules, actual distributions and exchange liquidity are separate data points. For model builders, attribution and licensing are equally important: a reward mechanism cannot replace permission to use data or a review of model outputs.

Sources: OPEN Tokenomics, Token Allocation and Unlock Schedule, Utility of $OPEN, OpenLedger Foundation

Last reviewed: Oct 9, 2026

OpenLedger (OPEN) FAQ

What is OpenLedger (OPEN)?

OpenLedger is an AI-focused blockchain project that aims to connect data contribution with model outputs through a Proof of Attribution system. OPEN is its ERC-20 token and is described as gas, an inference-related fee token and a contributor reward mechanism. The project goals should be distinguished from verified performance of individual models.

What is OPEN used for?

The official tokenomics page lists OPEN for gas on the OpenLedger AI blockchain, fees for inference and model-related activity, and rewards for data contributors. The precise uses depend on the current product and network implementation. A token's stated utility does not guarantee a model will earn fees or that a contributor will receive rewards.

What is Proof of Attribution?

OpenLedger describes Proof of Attribution as a system for tracing which datasets influence a model's output and connecting that contribution with rewards. The concept aims to give data contributors an economic role. Its reliability depends on attribution methods, evaluation quality and implementation, so the label alone does not prove every contribution can be measured perfectly.

How can model developers use OpenLedger?

OpenLedger's documentation describes publishing models and receiving OPEN when other users query them for inference. The project also ties data contributors into the attribution process. Actual eligibility, fees and payout behavior depend on current product rules, model usage and implementation details; publishing a model does not guarantee demand.

What is the total supply of OPEN?

OpenLedger Foundation's tokenomics page lists a total supply of 1 billion OPEN and an initial circulating supply of 21.55%. It also lists 61.71% for community and ecosystem allocation. These are published tokenomics figures; current circulating supply and unlock status should be checked separately when market data is available.

Does OPEN support governance?

OpenLedger's utility page describes governance participation as part of the token's intended role, including protocol parameters and upgrades. The page frames some governance features as developing. Readers should check current official governance documentation before assuming a vote is active or that token ownership alone grants a particular decision-making right.

Does OpenLedger guarantee rewards for data?

No. The project describes a mechanism for rewarding data contributors when their data influences model outputs, but the actual result depends on model usage, attribution design and current network implementation. Neither a published reward model nor ownership of OPEN guarantees income, and the token's market price can change independently.

What is OPEN's all-time high?

The market's highest observed OPEN price is $1.82; the date shown for that record is Sep 8, 2025. This figure describes token trading, not the quality of AI models or the accuracy of data attribution. Market coverage can affect recorded extremes, and historical performance does not validate the project's technical claims.

How has OPEN performed historically?

FMchart's composite chart shows the available historical price series for OpenLedger, 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 should OPEN users consider?

Risks include token volatility, model licensing disputes, data privacy concerns, smart-contract bugs and uncertainty around attribution or reward calculations. OpenLedger's documentation describes intended network utility, but users should verify which features are active and review model terms before contributing data or relying on a payout.