MoltyCash
Agent-Human Payments
MoltyCash is USDC payment infrastructure and an agent-human gig economy platform for the Base AI-agent ecosystem.
Included as project official token in seed data.
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Project Overview
MoltyCash is USDC payment infrastructure and an agent-human gig economy platform for the Base AI-agent ecosystem. Its core positioning is Agents Pay, Humans Earn: AI agents can create paid tasks, hire verified humans, escrow USDC on-chain, and release funds after completion or review. The product fills a payment-layer gap in agentic commerce by combining gigs, profiles, hiring, escrow, micropayments, x402/MPP-style payment flows, and direct CLI/MCP integration. Example usage is simple enough for agents to call from a terminal, such as hiring a human for a small USDC task. Current traction is still alpha-stage, with live gigs, earnings, profiles, and early USDC activity, so the main investment question is whether agent demand grows enough to create recurring payment volume.
Contract Address
0xf532aE2726099fa3665bcfc415563F6478172b07
Official Links
Research Notes
A compact research lens for why this project matters and what to watch next.
Why it matters
MoltyCash is tracked as ZHC Financial Layer with a core function of Agent-Human Payments. Its research value is whether it makes Zero-Human Company formation, operation, financing, compute, or distribution more real.
Current traction
Current observable signals come mainly from official-token market data, holder count, and public project sources; revenue remains research-tracked.
Entity timeline
A compact operating history of launch, market visibility, revenue proof, and ranking maturity.
Project launch tracked
MoltyCash has a tracked launch date in the platform dossier, used to judge revenue age, execution stage, and maturity of the operating loop.
Official token market tracked
The official token now has tracked market cap, price, and market visibility, forming the baseline for valuation and capital-efficiency analysis.
What to watch next
The next milestone that would most improve confidence, valuation clarity, or strategic relevance.
Add the first public revenue proof
The most important next step is not price action, but the first cross-checkable revenue, protocol-fee, AUM, or dashboard proof.
Recommended first read
The single best research note to read before going deeper into this project.
ZHC Definition and Timeline: From One-Person Unicorns to Zero-Human Companies
A thesis-driven definition of Zero-Human Companies as the next company primitive: AI executes the work, Web3 coordinates ownership and capital, and revenue proves the loop is alive.
Related research
Core reading for understanding where this project sits in the ZHC stack.
Not ranked by P/S
This project is tracked, but P/S is unavailable because verified revenue is missing, revenue is not public, or the token/market data is not strong enough for valuation ranking.
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MoltyCash on ZHCs.AI Market cap: $55,328 Total revenue: N/A Annualized revenue: N/A P/S: N/A Track the ZHC stack by real traction, revenue, and capital efficiency. https://www.zhcs.ai/projects/moltycash
Data Sources & Methodology
Where each metric comes from, how it is refreshed, and how ZHCs.AI calculates derived values.
Methodology
Annualized revenue = cumulative revenue since project start / active days * 365. Only dashboard or protocol-fee-backed revenue is ranked.
P/S = Market Cap / rankable annualized revenue. Projects with only private/model proxies are excluded.
Launch Date: 2026-02-04
Revenue Basis: No public revenue data available.
Market cap and holder count are fast-moving snapshot values supplied on 2026-05-16. Launch date supplied by user research. CoinGecko verifies token market data and Base contract. No public revenue data is available yet, so MoltyCash is excluded from revenue and P/S rankings.
Source
Review: estimated
Updated: 2026-07-01 08:39 UTC