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OpenLedger

OpenLedger (OPEN) — a reference card for a crypto project: what the product does and how verifiable the project’s key claims are; also — alignment with the Decentralized AI thesis (DecAI Fit).

OpenLedger — an AI/Other | Infra project: the EVM‑compatible Openledger Mainnet network (Chain ID 1612) and the OPEN token (ERC‑20), positioned as an “AI blockchain” for Proof of Attribution — onchain accounting of data/dataset contributions (DataNets) and distribution of rewards based on the influence of data on model output (Tier‑1 whitepaper + docs).

Disclaimer

Important: this page is a reference overview of the project. Within DecAIHub, we separately record a verification based on open sources within the AI thesis (what is real AI/onchain/why a token, and which sources this is based on).
This is not financial advice and not a recommendation to buy/sell/hold any asset. We do not assess price, returns, or entry/exit timing.
Conclusions are based on publicly available materials found as of the verification date. The absence of confirmation does not imply the absence of the technology.

TL;DR (for readers who are not into AI)

  • What it is: an EVM network (Openledger Mainnet) and the OPEN token for accounting/paying for activity in the OpenLedger ecosystem.
  • Who it’s for: developers of AI models/agents and participants who want to monetize data/dataset contributions and use “data influence attribution” as a reward distribution mechanism.
  • Why onchain/token: onchain is used for the DataNets/attribution registry and for distributing rewards/incentives; OPEN is claimed as the gas/fee token and as the mechanism for rewards/staking/governance (Tier‑1).

How it works (very briefly)

  1. The user does: creates/adds to a dataset (DataNet) or uses a model/agent in the ecosystem.
  2. The system does: computes the attribution of data influence on model output (Proof of Attribution) and aggregates influence at the DataNet level.
  3. The user gets: a transparent “linkage” of part of the model output to data sources and the ability to distribute rewards to data authors.
  4. Where the blockchain is: onchain records DataNet identifiers/metadata, provenance/training usage and attribution/reward records (the whitepaper describes the scheme).
  5. Token role: OPEN — the network’s gas/fee token and the economic mechanism for rewards/staking/governance (Tier‑1 tokenomics + staking docs).

Quick links: AI thesis fit

Project passport

Field Value
Project name OpenLedger
Also known as (aliases) Openledger | OPEN
Logo (logo) ../assets/61_openledger_logo.webp
Token symbol (ticker) OPEN
Category AI/Other | Infra
Primary chain (chain) Openledger Mainnet
Type EVM
Network status mainnet
Consensus (consensus) —
Launch date (launch_date) —
Project status (status) active
Token (standard) ERC-20
Token contract 0xA227Cc36938f0c9E09CE0e64dfab226cad739447
Token model (token_type) utility (payments + staking + governance)
Max supply 1,000,000,000
Issuance fixed cap
Tokenomics (tokenomics, brief) initial circulating supply 21.55%; community+ecosystem allocation 61.71% (Tier‑1).
Governance token governance + foundation coordination (Tier‑1 docs).
Admins/keys —
Audit —
Bug bounty —
Team (team) OpenLedger Foundation
Funding (investors/funding) —
AI component (ai_component) Proof of Attribution for AI data rewards
Use‑case (use_case) on-chain attribution + rewards for AI datasets
DecAI Fit — AI thesis fit 5/6 — high alignment with the Decentralized AI thesis
DecAI Fit component summary ai_score 2 / onchain_score 3 / token_score 3 / evidence_score 3
Last verified 2026-02-10

General project overview

OpenLedger is positioned as an “AI blockchain” that attempts to turn data and datasets into an economic asset: data authors should be rewarded not “for the fact of uploading” but for the measurable influence of data on model output. In the whitepaper this is formalized as the Proof of Attribution mechanism and the DataNet onchain primitive (a structured dataset with a registry of contributions/metadata and subsequent influence attribution).

In practice, the project describes the EVM‑compatible Openledger Mainnet network (Chain ID 1612) and the OPEN token, which is used as the gas/fee token and as the economic instrument for rewards, staking and governance.

Features/modules

  • Proof of Attribution: a scheme for attributing the influence of training data on model output (whitepaper).
  • DataNets + DataNet Registry: an onchain registry of datasets/contributions/usages and attribution records (whitepaper).
  • Reward distribution at inference: distribution of rewards to data authors based on their share of influence (whitepaper).
  • Openledger Mainnet: RPC/Chain ID/Explorer/Bridge for the network (docs).
  • OPEN tokenomics: total supply 1B, the role of OPEN as the gas/fee token and reward mechanism (docs).

Typical scenarios

  • Scenario 1 (data contributor): adds data to a DataNet → receives a share of rewards when the data turns out to be “influential” for the model’s answers.
  • Scenario 2 (model developer): trains/updates a model linked to DataNets → receives provenance and the ability to distribute rewards to data authors.
  • Scenario 3 (application developer): runs inference cases in the ecosystem → pays fees/gas → receives verifiable attribution records and traceability.

Getting started (wallet/network)

  • What you need: an EVM wallet (e.g. MetaMask) and some ETH/BNB for fees (if the interaction happens on Ethereum/BSC) and native gas for Openledger Mainnet.
  • Network/chain: add Openledger Mainnet (Chain ID 1612, RPC rpc.openledger.xyz, Explorer scan.openledger.xyz) following the Tier‑1 instructions (docs).
  • Fees: gas on the network (OPEN as the claimed gas token) + network fees on the base networks when bridging/staking (Tier‑1 docs).

Architecture/tech (non‑AI)

  • Components: Openledger Mainnet (EVM RPC/explorer/bridge), onchain DataNet contracts/registries, offchain storage of dataset content (the whitepaper describes storage as “content offchain, commitments/metadata onchain”).
  • Participant roles: data contributors (DataNets), model/agent developers, validators/network participants, users/applications.
  • Where logic runs: onchain — the DataNets/attribution/rewards registry; offchain — storage of dataset content and the computations that are then recorded as influence records/weights (whitepaper).
  • Dependencies: EVM infrastructure (wallets/bridge), the network’s RPC/explorer; the whitepaper also mentions a DA layer for dataset content.

Token/economics (expanded, no forecasts)

  • Token utility: OPEN is claimed as the network’s gas token and the fee token for inference/model creation; also as the reward mechanism for data contributors via Proof of Attribution (Tier‑1 tokenomics).
  • Protocol necessity drivers: the economic model is tied to the attribution of data influence and payouts, plus to paying for activity on the network (Tier‑1).
  • Who pays fees: users/applications that initiate activity on the network and/or inference operations (per the utility description in the docs).
  • Where fees go: the whitepaper describes splitting the inference fee into shares for the platform/models/stakers/data contributors (Tier‑1).
  • Issuance/burn: total supply 1,000,000,000; fixed supply model (Tier‑1 tokenomics).
  • Security/incentive mechanisms: staking (Locked/Flexi) and the use of the token as a reward mechanism are described (Tier‑1 staking docs).
  • Distribution and token issuance schedule: the Tier‑1 docs have separate allocation/unlock schedule pages; the key aggregates are carried into the passport (initial circulating 21.55%, community+ecosystem 61.71%).
  • Treasury: — (not recorded as a separate governance field in the current Tier‑1 sources).

Governance

  • Who makes decisions: OpenLedger Foundation + token governance (per the Tier‑1 “governance” wording in the docs).
  • How protocol parameters change: — (the voting/upgrade process is not explicitly described in the reviewed Tier‑1 pages).
  • Where decisions are discussed/made: — (no Tier‑1 governance forum/snapshot was found).
  • Keys/multisig: —.

Security and incidents

Project status and timeline

  • Current status: the network is designated as Openledger Mainnet (Chain ID 1612) in the Tier‑1 docs.
  • Key releases/milestones: the “Proof of Attribution” whitepaper is dated June 2025; the docs describe the token launch and staking (Tier‑1).
  • Roadmap: — (there is no explicit Tier‑1 roadmap page in links_*; there are separate posts/updates).

Ecosystem/integrations

  • Integrations: EVM wallets (via Chain ID), bridge.openledger.xyz, scan.openledger.xyz, token on‑ramp via Ethereum/BSC (Tier‑1 docs).
  • Partners: — (Tier‑1 partnerships as evidence of the technology are not recorded).
  • Where it’s actually used: — (public cases/examples of inference/model deployment are needed; nothing to “touch” for AI_2 was found in the current Tier‑1 sources).

AI component of the project

  • What is real AI here? Proof of Attribution: algorithms that evaluate the influence of training data on model output (influence functions/Infini‑gram) and compute rewards to data authors on that basis (Tier‑1 whitepaper).
  • What is truly onchain? the registry of DataNets/metadata/usages and the attribution/reward distribution records; plus the Openledger Mainnet network with RPC/Chain ID/bridge (Tier‑1 docs + whitepaper).
  • Why is a token needed? OPEN is claimed as the network’s gas/fee token and as the reward mechanism for data contributors; staking and governance are also mentioned (Tier‑1 docs).
  • Red flags (based on the information found): Tier‑1 GitHub/releases and public audits are absent; the “AI blockchain” thesis relies heavily on the whitepaper and docs — the actual onchain DataNet/attribution contracts and practical demos/quickstarts for AI cases are worth re‑checking.

DecAI Fit component summary

  • DecAI Fit: 5/6 — high alignment with the Decentralized AI thesis
Component Level Score
AI reality medium 2
Onchain necessity high 3
Token necessity high 3
Evidence Tier‑1 present 3
Details

AI reality

AI_0 — AI intent (Tier‑1 roadmap) (1/0)

  • AI_0 (decision): 0
  • Claim (one line): The AI part is described as a working mechanism (Proof of Attribution), not as an “intent without implementation”.
  • Evidence: Tier‑1 — https://www.openledger.xyz/api/pdf-proxy
  • Why sufficient / why not (one line): AI_0 is the “intent‑only” flag, applied when AI_1..AI_4=0; here there is a technical description of the AI mechanism → the intent flag is not needed.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): Proof of Attribution evaluates the influence of training data on model output and distributes rewards to data authors (DataNets) on that basis.
  • Evidence: Tier‑1 — https://www.openledger.xyz/api/pdf-proxy
  • Why sufficient / why not (one line): the whitepaper explicitly describes the “what/why” of the AI mechanism and its role in the product.
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 0
  • Claim (one line): No Tier‑1 reproducible demo/quickstart for running AI attribution/a model/an agent was found within this card (what is available — concept/docs/tokenomics/network).
  • Evidence: Tier‑1 — https://docs.openledgerfoundation.com/ , https://docs.openledgerfoundation.com/network-information
  • Why sufficient / why not (one line): without a step‑by‑step “what you can touch” (demo/app/tutorial), AI_2 remains 0.
  • Conflict note (if any): —

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —
  • Context (version/date/how measured): —
  • Evidence: Tier‑1 — https://www.openledger.xyz/api/pdf-proxy
  • Why sufficient / why not (one line): the reviewed Tier‑1 whitepaper contains no verifiable numerical quality metrics/benchmarks for the AI mechanism.
  • Conflict note (if any): —

AI_4 — tech description/architecture/versions (1/0)

  • AI_4 (decision): 1
  • Claim (one line): the whitepaper describes the Proof of Attribution architecture (DataNets/registry/attribution) and the attribution methods (influence functions, Infini‑gram).
  • Evidence: Tier‑1 — https://www.openledger.xyz/api/pdf-proxy
  • Why sufficient / why not (one line): there is a technical description and formalization of the mechanism, not only marketing.
  • Conflict note (if any): —

Onchain necessity

OC_1 — contracts/addresses/chain (1/0)

  • OC_1 (decision): 1
  • Chain: Openledger Mainnet (Chain ID 1612; RPC https://rpc.openledger.xyz; Explorer https://scan.openledger.xyz).
  • Addresses/identifiers: OPEN ERC‑20 (Ethereum) 0xA227Cc36938f0c9E09CE0e64dfab226cad739447; a BSC address is also listed (docs).
  • Evidence: Tier‑1 — https://docs.openledgerfoundation.com/network-information
  • Why sufficient / why not (one line): the Tier‑1 docs explicitly provide the network parameters and token addresses.
  • Conflict note (if any): —

OC_2 — onchain beyond just a token (1/0)

  • OC_2 (decision): 1
  • What useful logic is onchain: the DataNet Registry and the attribution/reward distribution records for data contributors (described as an onchain primitive).
  • Evidence: Tier‑1 — https://www.openledger.xyz/api/pdf-proxy
  • Why sufficient / why not (one line): the whitepaper describes an onchain DataNets registry and an onchain reward flow, i.e. not only token issuance.
  • Conflict note (if any): —

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 1
  • “Replace the blockchain” test: without a public ledger, the verifiability of provenance/attribution and the trusted reward distribution scheme break down (an operator could retroactively change records/weights/payouts).
  • Evidence: Tier‑1 — https://www.openledger.xyz/api/pdf-proxy
  • Why sufficient / why not (one line): in the whitepaper’s model, “onchain attribution + reward distribution” is the key property for which the blockchain is introduced in the first place.
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): the project has a token, OPEN.
  • Evidence: Tier‑1 — https://docs.openledgerfoundation.com/open-tokenomics
  • Why sufficient / why not (one line): the tokenomics in the Tier‑1 docs directly record the token standard/supply/utility.
  • Conflict note (if any): —

TK_1..TK_4 (1/0)

TK_1 — payment for the service (1/0)

  • TK_1 (decision): 1
  • Claim (one line): OPEN is used as the network’s gas token and the fee token for inference and for creating/deploying AI models.
  • Evidence: Tier‑1 — https://docs.openledgerfoundation.com/open-tokenomics
  • Why sufficient / why not (one line): the OPEN utility in the docs explicitly lists payments (gas + inference/model fees).
  • Conflict note (if any): —

TK_2 — incentives/collateral/penalties (1/0)

  • TK_2 (decision): 1
  • Claim (one line): OPEN is used as the reward mechanism for data contributors (Proof of Attribution) and is available for staking (Locked/Flexi) as a participation incentive.
  • Evidence: Tier‑1 — https://docs.openledgerfoundation.com/open-tokenomics , https://docs.openledgerfoundation.com/easy-staking
  • Why sufficient / why not (one line): the docs directly state rewards for data contributors and the launch of staking.
  • Conflict note (if any): —

TK_3 — governance (1/0)

  • TK_3 (decision): 1
  • Claim (one line): the Tier‑1 docs claim a governance role for participating in protocol governance.
  • Evidence: Tier‑1 — https://docs.openledgerfoundation.com/open-tokenomics/launching-on-ethereum , https://docs.openledgerfoundation.com/easy-staking
  • Why sufficient / why not (one line): the launch page and the staking description explicitly mention governance as an area of use.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): per the Tier‑1 description, the token is built in as the network’s gas/fee token and as the mechanism for rewards/staking/governance.
  • Evidence: Tier‑1 — https://docs.openledgerfoundation.com/open-tokenomics
  • Why sufficient / why not (one line): within the described economy, “replacing the token” changes the basic properties of the network (gas/fees/rewards), hence TK_4=0.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://www.openledger.xyz/api/pdf-proxy Proof of Attribution + DataNets/DataNet Registry + reward flow (the AI mechanism, onchain logic, why a blockchain).
Tier‑1 https://docs.openledgerfoundation.com/network-information Openledger Mainnet network parameters (RPC/Chain ID/Explorer/Bridge) and OPEN token addresses.
Tier‑1 https://docs.openledgerfoundation.com/open-tokenomics OPEN tokenomics/utility: gas + inference/model fees + rewards; supply 1B and basic allocations.
Tier‑1 https://docs.openledgerfoundation.com/easy-staking the existence of staking (Locked/Flexi) and the role of staking in the economy/participation.
Tier‑1 https://docs.openledgerfoundation.com/openledger-buyback-program public description of the buyback initiative and a wallet for transparency (token economics/liquidity).

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