A leave-behind for a customer's conversation · unlisted
EcoWealth runs the Ecological Work Protocol, a funded, proof-verified, tCO2e-receipted work-packet system, live on Base mainnet, plus the agent-readiness layer (llms.txt, the file AI assistants read first; agent cards and MCP tools, the files that let an AI assistant use you correctly) that lets any assistant answer a product or sustainability question with a citation and a settled receipt, not a guess. This package shows the two places that plug into Chase: consumer product legibility across your four consumer stacks, and proof under a $2.5 trillion sustainability commitment.
✎ Not a teardown, and warm not cold. The operator is a Chase customer; this is a leave-behind for a conversation he can start himself, no introduction required. Chase's estate is competently and securely built; the opportunity is agent-legibility and outcome-proof, not defects, and the strongest thing we found is one your Payments team already got right. See the deep audit.The value exchange
Start here: the ruthless deep dive
How Chase actually works online: the four stacks, the two-vendor card funnel, the ~50-origin martech mesh, the developer rails you already expose, and the $2.5T ESG machinery, with the exact public proof for every claim. Plus how a bank this size buys/integrates, the line items that could fund proof-verified work, and the day-one efficiency. The standout: your Payments team already ships the AI-legibility layer everyone's racing toward.
Read the deep audit →Then: three documents, one story
What a normal visitor sees today (passively, respectfully), and where the protocol plugs in: product legibility and sustainable-finance proof.
Read the brief →A brand-matched, clickable demo: an AI answering a product + climate question with a citation, then a green-finance dollar becoming a proof-verified, on-chain outcome.
Watch it run →The actual files: what makes Chase's product + sustainability data legible to AI, and callable for proof-verified work-packet funding.
See the files →Four headlines: the deep audit carries all seven with inline proof
The consumer surface spans four independently-built stacks: cards on a Capgemini-run creditcards.chase.com, checking on personal.chase.com, corporate/ESG on jpmorganchase.com. 301 + CSP
The card page loads a ~50-origin martech mesh (data brokers, DSPs, co-brand partners) but exposes zero machine-readable product schema: heavy human-tracking, nothing a machine can read. CSP + DOM
Your Payments team already ships a production llms.txt (200, 198KB); the consumer, corporate & ESG surfaces 404. The pattern is validated in-house; it just hasn't reached the front door. 200 vs 404
Real sustainable-finance substance: $2.5T target, $1T green, net-zero-2050, lives in PDF only, with no structured or proof-verified, on-chain outcome layer beneath the number. fetch + probe
Your dedicated provisioner · the plan we'd run
EcoWealth's real offering isn't a report: it's a dedicated, always-on provisioner pointed at one job: making Chase legible to AI and putting verifiable proof under the sustainability number. Here's the first ninety days: each step a felt efficiency, none requiring a change to a Chase system.
An assistant answers product + ESG questions with citations across all four stacks, from one layer on EcoWealth infra. One accurate answer where today there are four vendor silos and a PDF.
Fund a single ecological/community packet: photo + GPS + method proof settles to a citable tCO2e receipt that writes back to the impact record. The $2.5T number gains its first verifiable unit.
A machine-readable, third-party-verifiable outcome feed a diligence AI, or a PCAF / CSRD reviewer, can cite directly. Audit-ready ESG that holds up when the pressure is litigation, not a mandate.
The hand-off
We're not a web vendor, and we're not asking for system access to make this case. We're proposing the rail underneath: products an AI can represent accurately across all four stacks, and a $2.5T commitment turned into settled, citable, proof-verified outcomes. Start with the brief, then watch the demo run in your own brand.
Try it in an afternoon: a standard x402 call
The Work Protocol isn't a slide: it's a live endpoint any assistant can reach on the same Base chain your Kinexys team already uses. No account with us, no API key, no sales call. Here is the whole path.
Fund it a few cents. Give any AI agent (Claude, GPT-class, Llama, or your own) a Base wallet holding a few cents of USDC. That's the whole setup.
Point it at the endpoint. The work-packet program answers HTTP 402 with a standard x402 payment schema (a web-native way for AI agents to pay per use); the agent signs a USDC authorization and pays $0.10. A runnable client with a dry-run default is published at vealth.net/recipes.html.
Get a verifiable outcome. Back comes a bounded, proof-verified ecological work packet, and every step the agent took (payment, settlement) is an on-chain receipt anyone can verify, forever. The EWP contract is live on Base mainnet; workId 14 settled the first packet end-to-end.
Why this isn't scary
The agent cannot do anything invisible here. Every action embeds its own receipt: permanent, public, verifiable. That is more accountability than most enterprise software offers, not less.
The bet
Chase's own Payments team already ships the AI-legibility layer everyone's racing toward, and Kinexys already runs on Base. AI competence is scaling; the same rail can settle a on-chain proof-verified outcome under your $2.5T commitment today. Being early costs $0.10 and one afternoon. Being late means the proof-verified track records belong to someone else.
The one concrete ask: have one agent make one $0.10 call on the same Base chain your Kinexys team already uses, and fund one proof-verified ecological packet: no systems access, no introduction.
