TetraScore (ticker: $SCORE) is a launch-scanning service for Robinhood Chain (EIP-155 chain ID 4663), accessible at tetrascore.io. Its native token, deployed at 0xF37F…fe98 on Robinhood Chain, funds the operation: a fixed 1.5% fee on every trade flows to TetraScore’s treasury and the pons protocol, per its white paper. The service performs eight independent on-chain checks—including creator history, funding graph mapping of 382,354 wallets, OFFENDER.DB (22,242 flagged wallets), holder clustering, and four language models—each returning discrete verdicts rather than an averaged score. Users can look up tokens via Telegram bot, web console, or direct address input. Documentation, including a v1 white paper dated September 2026, outlines utility tiers (Free, Holder, Pro), fee mechanics, and explicit disclaimers that scores reflect observed chain data—not guarantees of safety. Explorer links point to Robinhood-specific block explorers (robin.etherscan.io and robinhoodchain.blockscout.com), and social presence is confirmed on Twitter and Telegram.
Key evaluation questions remain: Is the OFFENDER.DB independently auditable or solely curated by the team? How are the four language models trained, validated, and updated—and is their output reproducible? Does the claimed ‘deterministic seats’ mechanism rely on verifiable, on-chain inputs or opaque off-chain computation? And critically: what evidence confirms real-world usage beyond index size (199,591 launches indexed) and stated metrics like ‘1,569 ever traded’?

TetraScore positions itself as a multi-layered, on-chain launch scanner for Robinhood Chain (chain ID 4663), emphasizing deterministic, evidence-based analysis over heuristic or averaged scores. Its core product — eight independent checks including creator history, funding graph mapping, OFFENDER.DB strike matching, and AI-assisted language models — is described consistently across its website and whitepaper (tetrascore.io, tetrascore.io/whitepaper). The token $SCORE funds operations via a fixed 1.5% trade fee split (1% to pons protocol, 0.5% to TetraScore), with treasury spending prioritized for data, AI reads, infrastructure, and reserve-building (tetrascore.io/whitepaper). Governance is notably absent: no voting rights, no on-chain proposal mechanism, and no documented change procedure for fee splits, contract upgrades, or OFFENDER.DB curation rules are provided. Control rests entirely with the desk — an undefined operator — whose incentives align with sustained usage but not with tokenholder equity or loss-sharing. The whitepaper explicitly states holding $SCORE grants tool access, not revenue shares or governance rights (tetrascore.io/whitepaper). Treasury transparency is promised (monthly reports), but no public wallet address or historical reports are linked. While adoption metrics are cited (199,591 launches indexed), they reflect indexing scale, not user retention or paid-tier conversion. The API snapshot (CoinGecko) corroborates chain context and supply but adds no governance or operational detail.
Incentive-map:
The model delivers strong, narrowly scoped utility with transparent mechanics and clear risk disclosures (“A clean read means nothing was found, not that nothing is there”). However, the absence of verifiable accountability mechanisms — especially for OFFENDER.DB curation, treasury oversight, or fee-split changes — caps confidence and prevents higher scoring. Evidence is current and internally consistent but lacks third-party verification or independent governance documentation.
Overall score: 7/10 Confidence: Medium