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DataBot

DataBot (Databot) — 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).

DataBot (Databot) — an AI/Other / Infra project on Ethereum, token (symbol: DATA).

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 analytics platform and a set of tools for web3 analytics and “discoveries” (including via dashboards and bots).
  • Who it’s for: traders/analysts and teams that need a quick summary of signals and monitoring of social/market data.
  • Why onchain/token: the token is used as an access/tier mechanism and is described as part of the “rev share/incentives” model; the onchain part mostly boils down to the token.
  • What you can actually touch (Tier‑1): the web app app.data-bot.xyz (platform dashboards/tools).

How it works (very briefly)

  1. The user does: opens the app, chooses a service/dashboard, (optionally) connects a wallet.
  2. The system does: shows dashboards/summaries/alerts and (in individual services) publishes AI‑generated “threads”.
  3. The user gets: analytical reports/trends/discoveries and access to advanced features under the tier model.
  4. Where the blockchain is: onchain is represented by the ERC‑20 token DATA (a contract on the Ethereum network).
  5. Token role (if any): access to features via tiers + a claimed model of distributing part of the revenue/taxes (rev share).

Quick links: AI thesis fit

Project passport

Field Value
Project name DataBot
Also known as (aliases) Databot
Logo (logo) —
Token symbol (ticker) DATA
Category AI/Other | Infra
Primary chain (chain) Ethereum
Type EVM
Network status mainnet
Consensus (consensus) PoS (Ethereum)
Launch date (launch_date) 2023
Project status (status) active
Token (standard) ERC-20
Token contract 0xb551b43AF192965F74e3dfAA476C890B403caD95
Token model (token_type) utility (payments + staking + rewards)
Max supply 1,000,000,000
Issuance fixed
Tokenomics (tokenomics, brief) tier access; buy/sell tax 1%/4% (per the docs)
Governance —
Admins/keys —
Audit —
Bug bounty —
Team (team) —
Funding (investors/funding) —
AI component (ai_component) LLM summaries + social analytics
Use‑case (use_case) Web3 analytics dashboards + alerts
DecAI Fit — AI thesis fit 4/6 — medium alignment with the Decentralized AI thesis
DecAI Fit component summary ai_score 2 / onchain_score 1 / token_score 2 / evidence_score 3
Last verified 2026-02-11

General project overview

DataBot (Databot) describes itself as an “ecosystem of tools” for web3 analytics: dashboards, bots/alerts and additional services for researching projects and market signals. According to the documentation, part of the functionality is related to AI generation of daily materials (an “AI agent” with examples of AI‑generated threads).

The onchain part is mostly represented by the DATA token (ERC‑20) and the model of tier access and distribution of part of the revenue/taxes described in the docs. At the same time, the core analytics logic looks like an offchain service, and the blockchain is used as a mechanism for token ownership/accounting.

Features/modules

  • Web3 analytics dashboards (the “Web3 Dashboards” section in the docs).
  • Telegram bots and alerts (per the docs).
  • AI agent (per the docs): daily posts about early discoveries, “LLMs to extract and summarize insights”.
  • Tier system (per the docs): access to features depending on the token holding/stake.

Typical scenarios

  • Scenario 1: a user opens the app → views dashboards/signals → gets a summary of trends/mentions/observations.
  • Scenario 2: a user subscribes to alerts/the bot → receives notifications about events/mentions.
  • Scenario 3: a token holder uses tier access → unlocks advanced features/insights.

Getting started (wallet/network)

  • What you need: a browser; for tier access — a wallet with the DATA token (if required by the chosen plan/feature).
  • Network/chain: Ethereum (ERC‑20 token).
  • Fees: Ethereum fees arise for onchain operations with the token; using the web service may involve a subscription/plans (per the docs).

Architecture/tech (non‑AI)

  • Components: web app + bots/services (per the docs); the onchain component is the DATA token.
  • Participant roles: users/token holders; the team/service operator.
  • Where logic runs: analytics and the “AI agent” run offchain; onchain — token ownership/transfers.
  • Dependencies: Ethereum infrastructure (for the token) + the service’s offchain infrastructure.

Token/economics (expanded, no forecasts)

  • Token utility: in the docs the token is described as a “native utility token” for access/benefits and “future rewards”.
  • Protocol necessity drivers: tier access and rev share/incentives (per the docs).
  • Who pays fees: users pay onchain Ethereum fees for transfers/operations with the token.
  • Where fees/taxes go: the docs describe a buy/sell tax model and distribution to development, “Revenue Sharing & Liquidity”, marketing.
  • Issuance/burn: fixed supply (per the docs).
  • Incentive mechanisms: rev share is described in the docs, but it is noted that the system is “not active” as of the document; buyback & burn before activation is also mentioned.
  • Distribution/vesting: see the tokenomics sections in the docs (not confirmed in detail within this card).
  • Treasury: — (not found in Tier‑1).

Governance

  • Who makes decisions: — (not found in Tier‑1).
  • How protocol parameters change: —.
  • Where decisions are discussed/made: —.
  • Keys/multisig: —.

Security and incidents

  • Audits: —.
  • Bug bounty: —.
  • Incidents: — (not found in Tier‑1).
  • Threat model: risks typical of an offchain service (centralization/availability/data quality) + ERC‑20 token risks (contract/taxes/liquidity).

Project status and timeline

  • Current status: active; the ERC‑20 token exists on Ethereum mainnet.
  • Key milestones (per the docs): token launch (Phase 2, 2023); “Beta Platform Launch” (Phase 3, 2024); “AI Discovery Agent” (Phase 4, 2025).
  • Roadmap: see the link in links_*.

Ecosystem/integrations

  • Integrations: app/bots; integrations in the docs are described as ecosystem services (dashboards/bots/private groups/business).
  • Partners: — (not found in Tier‑1).
  • Where it is used: examples and service pages are available in the official docs.

AI component of the project

  • What is real AI here? Per the docs, there is an AI agent that publishes “early discoveries” daily, using LLM mechanisms for extracting and summarizing insights (architecture details not disclosed).
  • What is truly onchain? Onchain is confirmed by the existence of the DATA token on the Ethereum network; the other services look like an offchain platform.
  • Why is a token needed? In the docs the token is described as an access/tiers mechanism and part of the revenue/incentives model (rev share), although it is noted that rev share is “not yet active”.
  • Red flags (based on the information found): rev share is marked in the docs as “not yet active”; the quality/metrics of the AI component are not disclosed; the onchain part may boil down to the token without protocol logic.

DecAI Fit component summary

  • DecAI Fit: 4/6 — medium alignment with the Decentralized AI thesis
Component Level Score
AI reality medium 2
Onchain necessity low 1
Token necessity medium 2
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 component is described as operating (AI agent), not only as a future intent without a product.
  • Evidence: Tier‑1 — https://docs.data-bot.xyz/ai-agent
  • Why sufficient / why not (one line): AI_0 is used only when there is intent without evidence of the AI part; here Tier‑1 describes an AI feature.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): The AI agent publishes daily posts about early discoveries, using LLMs to extract and summarize insights.
  • Evidence: Tier‑1 — https://docs.data-bot.xyz/ai-agent ; https://docs.data-bot.xyz/introduction/roadmap
  • Why sufficient / why not (one line): Tier‑1 directly describes what the AI agent does and that it uses LLMs.
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 1
  • Claim (one line): There is a working web app of the platform (dashboards/tools) and an example of an AI‑generated thread in the docs.
  • Evidence: Tier‑1 — https://app.data-bot.xyz ; https://docs.data-bot.xyz/ai-agent
  • Why sufficient / why not (one line): The web app and an example of the AI agent’s output are available in Tier‑1 sources.
  • Conflict note (if any): —

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —
  • Context (version/date/how measured): —
  • Evidence: —
  • Why sufficient / why not (one line): No quantitative quality metrics of the AI component were found in Tier‑1.
  • Conflict note (if any): —

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

  • AI_4 (decision): 0
  • Claim (one line): A tech description of the AI architecture/model versions was not found in the docs per Tier‑1.
  • Evidence: Tier‑1 — https://docs.data-bot.xyz/
  • Why sufficient / why not (one line): There is product documentation, but without a technical specification of the AI part.
  • Conflict note (if any): —

Onchain necessity

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

  • OC_1 (decision): 1
  • Chain: Ethereum
  • Addresses/identifiers: 0xb551b43AF192965F74e3dfAA476C890B403caD95
  • Evidence: Tier‑1 — https://etherscan.io/token/0xb551b43AF192965F74e3dfAA476C890B403caD95 ; https://docs.data-bot.xyz/tokenomics/token-info
  • Why sufficient / why not (one line): The token contract and network are confirmed in the explorer and the official docs.
  • Conflict note (if any): —

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

  • OC_2 (decision): 0
  • What useful logic is onchain: —
  • Evidence: —
  • Why sufficient / why not (one line): No confirmation of onchain logic (other than the token) that would be critical for the product was found in Tier‑1.
  • Conflict note (if any): —

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 0
  • “Replace the blockchain” test: the analytics service can exist without a blockchain; onchain is used mainly for the token/access.
  • Evidence: Tier‑1 — https://docs.data-bot.xyz/
  • Why sufficient / why not (one line): In the docs, onchain is not shown as a critical layer for executing logic.
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): The project has a token, DATA (ERC‑20).
  • Evidence: Tier‑1 — https://docs.data-bot.xyz/tokenomics/token-info ; https://etherscan.io/token/0xb551b43AF192965F74e3dfAA476C890B403caD95
  • Why sufficient / why not (one line): The token and the contract are confirmed in Tier‑1 sources.
  • 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): The token is described as the ecosystem’s utility token through which access/benefits are implemented (tier system).
  • Evidence: Tier‑1 — https://docs.data-bot.xyz/tokenomics/tier-system ; https://docs.data-bot.xyz/tokenomics/token-info
  • Why sufficient / why not (one line): The docs describe a token‑gating/tier access model.
  • Conflict note (if any): —

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

  • TK_2 (decision): 1
  • Claim (one line): The docs describe a revenue share/holder incentives model (although it is noted that the system is “not yet active”).
  • Evidence: Tier‑1 — https://docs.data-bot.xyz/tokenomics/rev-share ; https://docs.data-bot.xyz/tokenomics/token-info
  • Why sufficient / why not (one line): Tier‑1 explicitly describes the distribution scheme and the note about the current status.
  • Conflict note (if any): —

TK_3 — governance (1/0)

  • TK_3 (decision): 0
  • Claim (one line): Use of the token for governance was not found in Tier‑1.
  • Evidence: —
  • Why sufficient / why not (one line): There is no explicit description of a governance/voting process.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): The replaceability of the token is not established per Tier‑1.
  • Evidence: —
  • Why sufficient / why not (one line): The documentation describes the token as utility, but does not compare it with alternatives (subscription/stablecoins) as a strict replacement.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://app.data-bot.xyz The working app/dashboards of the platform (“what you can touch”).
Tier‑1 https://docs.data-bot.xyz/ai-agent Description of the AI agent: it uses LLMs for daily posts + an example of an AI‑generated thread.
Tier‑1 https://docs.data-bot.xyz/introduction/roadmap The roadmap contains the item “AI Discovery Agent: Daily alpha threads generated by LLMs”.
Tier‑1 https://docs.data-bot.xyz/tokenomics/token-info Token Info: the DATA token (ERC‑20), total supply, contract, tax model and distribution.
Tier‑1 https://docs.data-bot.xyz/tokenomics/rev-share Rev share: revenue sources/distribution + a note that the system is “not active” now.
Tier‑1 https://etherscan.io/token/0xb551b43AF192965F74e3dfAA476C890B403caD95 Onchain fact: the DATA token contract on the Ethereum network.
Tier‑2 https://www.coingecko.com/en/coins/databot Token context/metadata (aggregator).

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