Skip to main content
Canvas Protocol is a verification marketplace built on Telegram group joins. Advertisers and AI labs buy verified human completions. Group owners earn USDC per passing verification. Humans complete a short conversational task instead of a pointless bot-check.

The problem

Standard Telegram verification wastes human attention. Users solve arbitrary bot-checks that generate no value for anyone. Group owners earn nothing. Advertisers have no way to reach crypto-native audiences inside messaging. AI labs need human-verified training data but existing pipelines — Scale AI, Mechanical Turk — lack audience context and are expensive to operate. The human attention spent on group verification is real, recurring, and currently unmonetized.

The solution

Replace the Telegram join check with a sponsored conversational task. The task serves as both the verification mechanism and the value-generating interaction.

Advertisers and AI labs

A pay-per-verified-completion channel reaching humans with known context and interests. A DeFi user ranking protocol responses produces more valuable training data than a random Mechanical Turk worker doing the same task.

Group owners

Recurring USDC revenue from verification activity. Nothing about group management changes beyond the bot-check being replaced.
For humans, the experience is unchanged — a short conversation instead of a meaningless puzzle, relevant to the group they’re joining and over in under 30 seconds.

Why Telegram groups

Telegram groups are among the densest concentrations of crypto-native users on the internet. A DeFi group with 5,000 members is a qualified, self-selected audience. The join moment is when that audience is most identifiable — they’re actively seeking access to a specific community, which means the group topic is a reliable proxy for their interests. Canvas captures that moment. The verification conversation happens anyway; Canvas makes it generate value instead of discarding it.

What makes Canvas completions different

Scale AI and Mechanical Turk produce responses from workers with no verifiable context. A Canvas completion comes with three things those pipelines cannot provide. A DeFi trader ranking protocol responses produces a different labeled example than a random worker doing the same task. The group context is the provenance — captured with the transcript and delivered alongside the on-chain settlement transaction.

Task types

RLHF training data

AI labs collect preference labels from verified domain experts. A DeFi trader comparing two protocol responses produces a higher-quality label than a generic annotator. The group context is the provenance.

Agent acquisition

DeFi protocols and agent teams reach verified crypto-native users. No correct answer required — the advertiser pays per verified lead and receives intent signals. Post-verification, the bot can offer an agent connection.

Current state

Live on Base mainnet

Escrow contract: 0xf808b264E13Bf809C8e86afaF4e14c200931101ECore verification loop is live. Telegram bot, Kimi scoring, and USDC payouts on Base are all in production.

Whitelist period

Group registration is manually approved during the whitelist period. This establishes ground truth baselines for legitimate completion patterns before the permissionless marketplace opens.