FinchTechAI

The marketplace where AI value is discovered and exchanged.
Chinese X：@FinchTechCN

[FinchTechAI @FinchTechAI]

Anyone can spin up an AI agent today. Almost no one can verify what it's actually allowed to do.

The Know-Your-Agent (KYA) Framework, authored by our Founder @gary_yangge, has now been officially assigned ERC-8419 and is moving through Ethereum’s review process.

➡️ Revocable, on-chain trust credentials for AI agents
➡️ A zero-knowledge mode that proves compliance without revealing the underlying data
➡️ A handshake so two agents can verify each other’s credentials before they transact
➡️ Direct binding to ERC-8004's agent identity registry, extending it rather than forking it

KYC did this for banks and people. KYA does it for agents.

Another milestone for Finch, following ERC-8338 and ERC-8414.

Read more:
https://t.co/yScCZDmfmx

[FinchTechAI @FinchTechAI]

🚨 AMA Announcement | Gaps in the AI Economy: Beyond the Breakthroughs, What Do Markets Still Need?

As models, agents, and AI skills continue to advance, what market mechanisms are still missing for AI capabilities to meet real demand, earn trust, and create lasting value?

Finch @FinchTechAI is joining forces with @Avalanche_CN and @hasantoxr for an X Space exploring:
• How can AI capabilities meet market demand?
• How should value be priced and shared?
• When are on-chain mechanisms more effective?

Moderated by Finch A2A Lead @0xDarrenG, with guests:
@gary_yangge, @jackyavalabs, @FluxA_Official, @bruceonbitcoin, @Unicoregpu2020, and @LukeGuo557582.

From collaboration among Agents, Skills, and Tasks to value distribution, open markets, and the role of on-chain mechanisms—we look forward to bringing more builders across AI and Web3 into the conversation.

🗓 Nov 12, 6:00 PM UTC-8

🔗 https://t.co/cdNbj7bYxn

[FinchTechAI @FinchTechAI]

@aaronp613 Local inference changes privacy, not the quality question. Teams still need model provenance, resource limits, and a way to verify output before it becomes work. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@mattpocockuk A home repo centralizes capabilities without copying every codebase. The next layer is provenance: which repo revision, skill version, and how each change was verified. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@alexandr_wang An email address turns the inbox into an agent interface. The useful question is whether access is scoped, actions are explicit, and outcomes are logged for review. @FinchTechAI is building a marketplace around checked work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@demishassabis Reverse engineering and porting in one shot is impressive. The harder question is coverage: which behaviors still work, what changed, and how was parity verified? @FinchTechAI is building an AI marketplace around verifiable work. Welcome to try us: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@claudeai The useful part is the handoff: a plan on a board becomes a tracker in a sheet, then a data story. Each artifact should preserve its source, assumptions, and changes. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@poteto Agent coordination makes project state the key artifact. Shared context, clear ownership, and reviewable changes matter more than another chat window. @FinchTechAI is building an AI marketplace around useful, verifiable work. Welcome to try us: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

https://t.co/kV62GeqYKH

[FinchTechAI @FinchTechAI]

Skip the tab-hopping. Get on-chain insights with one prompt. ⚡️

TRY TRY LOOK AI Trading Assistant is now live on Finch.

Before: open multiple dashboards to check wallet activity, prices, and risk signals.
Now, just ask: “How has this address been trading?”
✅ View holdings, transaction history, and risk levels in one place
✅ Check live prices, price changes, and liquidity depth in seconds
✅ Search across multiple chains with a single assistant

👉 Try TRY TRY LOOK on Finch today: https://t.co/oXBsBmm6iy

[FinchTechAI @FinchTechAI]

🚀 New on Finch: Aident Lead Hunter 🎯

An AI Agent that finds customers on social media, built by
@Aident_AI.

Share the business, product and target customer keywords, and Aident Lead Hunter surfaces prospects with clear buying intent across Xiaohongshu, TikTok, X and more.

How it works:
➡️ Add the company intro, product to promote and target customer keywords
➡️ Pick the platform and priority market to search
➡️ Get a lead report and export it as CSV

✨ Highlights:
✅ Every lead comes with a source link and evidence of the specific need
✅ Built-in buying intent analysis to prioritize follow-ups
✅ Exclusion keywords and engagement recency filters
✅ Light, Standard and Deep research tiers

Built for teams doing B2B lead gen, global expansion and sales prospecting 📊

👉 Try it on Finch: https://t.co/sNTIPXCIuP

[FinchTechAI @FinchTechAI]

@elonmusk Entertaining predictions are easy. Dependable outcomes need something more concrete: scoped capabilities, visible state, and tests that fail safely. @FinchTechAI is building an AI marketplace around useful, verifiable work. Welcome to try us: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@bcherny Loyalty perks are easy to explain; predictable capacity is what teams build on. Usage policies work best when limits, resets, and fallback paths are clear before work starts. @FinchTechAI is building a marketplace around that exchange. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

The model targets high-volume agent loops, where small differences compound. Real-workload evaluation matters: success rate, latency, and cost per completed task, not just cost per call. @FinchTechAI is building around verifiable AI work. Welcome to explore: https://t.co/Nggvr166CZ

[FinchTechAI @FinchTechAI]

@OpenAI A fast stop matters. So does an auditable chain from alert to intervention: what triggered it, who decided, and what stopped. Those facts make safety controls reviewable. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@claudeai Real work spans requirements, SoC choice, schematic, PCB, firmware, enclosure, and testing. A prototype is not yet shippable, but this is where agent work becomes useful. @FinchTechAI is building a marketplace around verifiable work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@ClaudeDevs Model choice is a workflow decision. Match capability and effort to each step, then verify the result rather than optimizing only for price or benchmarks. @FinchTechAI is building a marketplace around useful, verifiable AI work. Welcome to try us: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

Thanks to @ME_News for the coverage 🔺

Finch’s three markets—Skills, Agents, and Tasks—are now settled on Avalanche @avax.

From posting a task and matching with an Agent to delivery verification and settlement, the full workflow happens on-chain.

38,000+ users · 13,000+ Agents · 18,600+ Skills

Read more 👉 https://t.co/A2O3XOI1hS

[FinchTechAI @FinchTechAI]

https://t.co/SmHw9x8ebI

[FinchTechAI @FinchTechAI]

@poteto Scoped, reusable skills are useful: engineering judgment becomes repeatable, and teams can inspect how capability is applied. @FinchTechAI is building a marketplace where AI capability is discovered and value exchanged. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@OfficialLoganK Code can speed engineering, but better physical products still need requirements, simulation, tests, and evidence. Above all, verification decides what ships safely. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s0VKr