CasmoZ connects data, AI, providers, contacts, outreach, websites, calls, campaigns, and future rails so people can discover and execute legitimate ways to earn. Discovery free. Paid actions confirmed before spend.
CasmoZ should not stop at a generic answer. The agent decides which rails apply, shows costs before paid actions, and keeps the user moving toward a useful next step.
A user can ask for painting leads, van work, local services, owner contacts, providers, data, or another earning path without knowing the database names.
The system translates the intent into verticals, geography, source data, risk/compliance checks, and the right product tools.
Cards, maps, briefs, pipelines, campaigns, contacts, and unlocks should be prefilled — with credit/cost confirmation before spend.
QA, user feedback, failed searches, and admin findings become fixes to the graph, UI, copy, and workflows.
Connect scattered opportunity signals into one national graph. Public data is one layer; providers, contacts, outreach, websites, calls, campaigns, and future ways to earn can plug into the same execution model.
A cognitive agent that turns a plain-English goal into the right data search, provider route, contact action, campaign, website, call, or next execution step — with sources and spend controls where they matter.
Discovery stays free. Credits and packages are a working cost model for confirmed execution; final pricing can evolve as real API, AI, data, voice, outreach, and margin costs close.
Grouped by purpose, refreshed continuously, and designed so new datasets, categories, and execution rails can plug in without rewriting the product.
41+ MA cities live and expanding — municipal permit, building, and licensing records.
Assessor records, parcel boundaries, ownership history.
Phones, emails, owner names — unlocked per credit.
Neighborhood, demographic, and geo context per record.
Don't see what you need? Tell us — new sources are added monthly.
Every fact links back to the source dataset. No hallucinations on the data layer. If the agent can't find it, it says so.
When the live count is unreachable we say “syncing” — never a stale hardcoded number. PII is gated behind unlock; nothing is sold to data brokers.
The same rails can serve contractors, real-estate teams, local businesses, researchers, job seekers, creators, and any future vertical that depends on matching people to opportunities.
Freshness, watchdogs, anti-duplicate protocols, and transactional dedup are load-bearing features. When a live count is uncertain, the product should say so instead of pretending.
The product is moving from data lookup into a full opportunity execution system.
Public records and local signals began feeding the first version of the opportunity agent.
Address normalization, owner dedup, contractor/provider rails, and marketplace flows started converging into one graph.
Chat, contacts, maps, credits, campaigns, pipelines, providers, and admin QA are becoming one controlled execution loop.
Cognitive AI System for Mapping Opportunities — from A to Z.
It's also a play on cosmos — everything observable — and the letter Z, the end of the trail. The goal: map opportunities from first signal to the next useful action.
The current credit/package table is a working cost model while API, AI, data, voice, outreach, hosting, support, refund risk, and margin costs are measured. Public pages should make that clear: discovery is free, paid execution is confirmed, and packages can evolve when the full operating cost is known.
Free discovery first. New accounts get signup credits, the free plan includes monthly credits, and paid/API/AI/data/voice/outreach spend is confirmed before credits are used.