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Ta‑da

Ta‑da (TADA) — 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).

Ta‑da — an AI/Data / Infra project: a crowdsourcing platform for creating/labeling data (audio/video/text, etc.) and applying this data, in particular, for training AI models (whitepaper/use‑cases). The TADA token (BEP‑20, BNB Smart Chain) is confirmed onchain and is described in the documentation as a utility token for purchasing datasets and for reward/staking mechanics.

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: a platform where people perform data collection/labeling tasks (datasets) so that AI teams can use them.
  • Who it’s for: companies/teams that need datasets; participant performers (crowd workers).
  • Why onchain/token: the TADA token is confirmed onchain and is described as a means of purchasing datasets and participating in staking/rewards; at the same time, in the extracted Tier‑1 there are no addresses of the platform’s onchain contracts, apart from the token.

How it works (very briefly)

  1. The user does: orders a dataset/labeling or performs jobs on the platform (claim).
  2. The system does: distributes tasks, controls quality and rewards participants (whitepaper architecture).
  3. The user gets: prepared data (for AI training and other cases) or a reward for the work (claim).
  4. Where the blockchain is: the TADA token on BNB Smart Chain is confirmed; staking is described as on‑chain (without contract addresses in the extracted Tier‑1).
  5. Token role (if any): dataset purchases + reward/staking mechanics (token economics + staking docs).

Quick links: AI thesis fit

Project passport

Field Value
Project name Ta‑da
Also known as (aliases) Ta‑da.io, $TADA, TADA
Logo (logo) —
Token symbol (ticker) TADA
Category AI/Data | AI/Training | Infra
Primary chain (chain) BNB Smart Chain
Type EVM
Network status mainnet
Consensus (consensus) PoSA (BNB Smart Chain; 21 validators)
Launch date (launch_date) —
Project status (status) active
Token (standard) BEP-20
Token contract 0x9b26e318bc6a2c8b45f5daea2cc14697e0e0f8b5
Token model (token_type) utility (dataset purchases + staking + rewards)
Max supply 997,000,045 TADA (BscScan Max Total Supply)
Issuance fixed supply (the tokenomics describe a “Big Burn” 2024–25; v2 supply)
Tokenomics (tokenomics, brief) tokenomics: initially 1B, “Big Burn” 186M; utility — dataset purchases and staking; buybacks based on dataset sales (docs).
Governance — (in the extracted Tier‑1 there is no description of governance mechanics)
Admins/keys —
Audit —
Bug bounty —
Team (team) —
Funding (investors/funding) —
AI component (ai_component) dataset collection + labeling for AI
Use‑case (use_case) datasets for AI model training
DecAI Fit — AI thesis fit 4/6 — medium alignment with the Decentralized AI thesis
DecAI Fit component summary 2 / 1 / 1 / 3
Last verified 2026-02-11

General project overview

Ta‑da describes the platform as a web service that connects supply and demand for crowdworking tasks: data collection, surveys, social media engagement and, separately, creating datasets for AI training (use‑cases). The whitepaper emphasizes the problems of quality/traceability/payouts and discusses the role of the blockchain as a mechanism of transparency/immutability and incentives, including ideas of smart contracts/incentives (scaling‑with‑blockchain).

Features/modules

  • Task platform (claim): posting and performing data collection/labeling tasks (architecture).
  • Quality control (claim): quality control mechanics for “noisy” human input (architecture).
  • Rewards (claim): a reward model for performing tasks (architecture).
  • Staking: staking pools and reward principles are described (staking/on‑chain staking).

Typical scenarios

  • Scenario 1 (requester): formulates data requirements → receives a dataset for training/evaluating an AI agent (website + use‑cases).
  • Scenario 2 (performer): performs jobs/tasks → receives a reward and (claim) can participate in the token’s tier/rewards mechanics (token economics).
  • Scenario 3 (staker): stakes TADA on staking.ta-da.io → receives an APR that depends on platform activity (on‑chain staking).

Getting started (wallet/network)

  • What you need: access to the platform/documentation; a BSC‑compatible wallet — for operations with the token.
  • Network/chain: BNB Smart Chain (TADA).
  • Fees: BSC gas for onchain operations; platform operations for performing tasks — offchain.

Architecture/tech (non‑AI)

  • Components: the web platform (app.ta-da.io) + the production/QC/rewards process (docs) + the TADA token (BSC).
  • Participant roles: requesters; performers (contributors); curators/quality control (claim); stakers.
  • Where logic runs: the token — onchain; the on‑chain staking mechanics are described, but contract addresses were not extracted; the rest of the task distribution/QC logic — offchain.
  • Dependencies: BNB Smart Chain; the Ta‑da platform infrastructure.

Token/economics (expanded, no forecasts)

  • Token utility: dataset purchases; tiering for rewards; access to special jobs; staking (token economics).
  • Protocol necessity drivers: the token is described as the main means of purchasing datasets and participating in reward/staking mechanics (token economics).
  • Who pays fees: users pay gas in BSC for operations with the token.
  • Where fees go: network fees go to BSC validators; buybacks are described as performed by the foundation based on dataset sales (token economics).
  • Issuance/burn: the docs describe a “Big Burn” (186M) as a remodeling of the tokenomics; the onchain max total supply is given in the explorer.
  • Security/incentive mechanisms: staking pools with lock periods and coefficients (on‑chain staking).
  • Distribution and token issuance schedule: the share distribution and v2 supply are given in the token economics; detailed unlock schedules — as an image/table in the docs.
  • Treasury: buybacks are performed by the TA DA Foundation (claim; token economics), treasury addresses not extracted.

Governance

  • Who makes decisions: — (in the extracted Tier‑1 there is no description of governance/DAO mechanics).
  • How protocol parameters change: —.
  • Where decisions are discussed/made: —.
  • Keys/multisig: —.

Security and incidents

  • Audits: —.
  • Bug bounty: —.
  • Incidents: —.
  • Threat model: a significant part of the platform logic is offchain; staking is described without links to contract addresses; the risk of a mismatch between claims of onchain transparency and the actual artifacts.

Project status and timeline

  • Current status: the website and docs are available; the TADA token exists on BSC; the roadmap is published in the docs.
  • Key releases/milestones: the tokenomics were updated (Nov 15, 2024) — a note in the token economics.
  • Roadmap: https://docs.ta-da.io/ta-da-platform/roadmap

Ecosystem/integrations

  • Integrations: BNB Smart Chain; staking.ta-da.io (on‑chain staking interface).
  • Partners: —.
  • Where it’s actually used: the utility and staking are described in the docs; the token is confirmed by the explorer.

AI component of the project

  • What is real AI here? the project is oriented toward creating/labeling data for training AI models and AI agents (use‑cases/website).
  • What is truly onchain? the TADA token on BSC; staking is described as on‑chain via staking.ta-da.io, but contract addresses are not provided in the extracted Tier‑1.
  • Why is a token needed? dataset purchases + staking/rewards mechanics (token economics).
  • Red flags (based on the information found): the onchain part apart from the token is poorly verifiable without contract addresses; a large share of the processes (production/QC) may be offchain.

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 low 1
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 direction is described as a current use‑case of the platform, the intent flag is not needed.
  • Evidence: Tier‑1 — https://docs.ta-da.io/ta-da-platform/use-cases
  • Why sufficient / why not (one line): intent is applied when AI is only “in the plans”, whereas here there is a description of AI cases.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): the platform creates/structures human‑generated data (datasets) for training AI models.
  • Evidence: Tier‑1 — https://ta-da.io/ ; https://docs.ta-da.io/ta-da-platform/use-cases
  • Why sufficient / why not (one line): an AI‑oriented product outcome is described (datasets for AI training).
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 0
  • Claim (one line): in the extracted Tier‑1 there is no reproducible tutorial/demo “make a dataset now” with a verifiable result.
  • Evidence: Tier‑1 — https://docs.ta-da.io/ta-da-platform/architecture
  • Why sufficient / why not (one line): there is a description of the platform, but no verifiable demo guide in the current extraction.
  • Conflict note (if any): —

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —.
  • Context (version/date/how measured): —.
  • Evidence: Tier‑1 — https://docs.ta-da.io/
  • Why sufficient / why not (one line): there are no metrics of data quality/AI effect in the extracted Tier‑1.
  • Conflict note (if any): —

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

  • AI_4 (decision): 1
  • Claim (one line): the platform architecture (production/QC/rewards) and the problem statement of crowdsourcing are described.
  • Evidence: Tier‑1 — https://docs.ta-da.io/ta-da-platform/architecture
  • Why sufficient / why not (one line): there is a structured technical description of the platform components.
  • Conflict note (if any): —

Onchain necessity

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

  • OC_1 (decision): 1
  • Chain: BNB Smart Chain
  • Addresses/identifiers: TADA token: 0x9b26e318bc6a2c8b45f5daea2cc14697e0e0f8b5
  • Evidence: Tier‑1 — https://bscscan.com/token/0x9b26e318bc6a2c8b45f5daea2cc14697e0e0f8b5
  • Why sufficient / why not (one line): the explorer confirms the contract and max total supply.
  • Conflict note (if any): —

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

  • OC_2 (decision): 0
  • What useful logic is onchain: staking is described as on‑chain, but in the extracted Tier‑1 there are no addresses of staking contracts/programs.
  • Evidence: Tier‑1 — https://docs.ta-da.io/token/staking/on-chain-staking
  • Why sufficient / why not (one line): without contract addresses we do not count OC_2.
  • Conflict note (if any): —

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 0
  • “Replace the blockchain” test: data collection/labeling and payouts can be implemented in a centralized way; onchain criticality is not proven in the extracted Tier‑1.
  • Evidence: Tier‑1 — https://docs.ta-da.io/white-paper/scaling-data-generation-with-blockchain
  • Why sufficient / why not (one line): the document discusses the benefits of the blockchain, but does not provide a verifiable “without the blockchain it breaks down”.
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): the project has a utility token, $TADA.
  • Evidence: Tier‑1 — https://docs.ta-da.io/token/token-economics ; https://bscscan.com/token/0x9b26e318bc6a2c8b45f5daea2cc14697e0e0f8b5
  • Why sufficient / why not (one line): the utility and the contract are confirmed by the docs + explorer.
  • 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 main purpose of the token is to “buy datasets”.
  • Evidence: Tier‑1 — https://docs.ta-da.io/token/token-economics
  • Why sufficient / why not (one line): the utility is described explicitly in the Token Utility section.
  • Conflict note (if any): —

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

  • TK_2 (decision): 1
  • Claim (one line): holding/staking provides tiering for rewards, access to special jobs and passive income via staking.
  • Evidence: Tier‑1 — https://docs.ta-da.io/token/token-economics ; https://docs.ta-da.io/token/staking/on-chain-staking
  • Why sufficient / why not (one line): the docs describe staking pools, lock periods and the revenue sources for APR.
  • Conflict note (if any): —

TK_3 — governance (1/0)

  • TK_3 (decision): 0
  • Claim (one line): the governance role of the token is not described in the extracted Tier‑1.
  • Evidence: Tier‑1 — https://docs.ta-da.io/token/token-economics
  • Why sufficient / why not (one line): the tokenomics describe utility/staking/buybacks without governance processes.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 1
  • Claim (one line): dataset purchases and rewards could work via stablecoins/fiat without its own token.
  • Evidence: Tier‑1 — https://ta-da.io/ ; https://docs.ta-da.io/token/token-economics
  • Why sufficient / why not (one line): in the extracted Tier‑1 there is no proof that without its own token the protocol functionally breaks down.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://ta-da.io/ Positioning as a provider of data for AI training; description of services.
Tier‑1 https://docs.ta-da.io/ta-da-platform/use-cases AI use‑cases of the platform (datasets for AI training).
Tier‑1 https://docs.ta-da.io/ta-da-platform/architecture Platform architecture (production/QC/rewards).
Tier‑1 https://docs.ta-da.io/white-paper/scaling-data-generation-with-blockchain Justification for applying the blockchain for traceability/incentives (claim).
Tier‑1 https://docs.ta-da.io/token/token-economics Token utility (buy datasets), buybacks, burn and distribution.
Tier‑1 https://docs.ta-da.io/token/staking/on-chain-staking On‑chain staking: pools, lock, revenue sources for APR.
Tier‑1 https://bscscan.com/token/0x9b26e318bc6a2c8b45f5daea2cc14697e0e0f8b5 The onchain TADA token (BSC): contract, max total supply.

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