We take a public record from publisher discovery to a production-ready evidence flow: rights and scope, complete collection, normalized identity, source-linked receipts, change detection, and delivery through the interface your system actually uses.
The product is not a scrape. It is the operating layer between a changing government publisher and a system that needs a defensible answer.
We identify the issuing authority, access route, terms or license, row grain, update pattern, paging behavior, and the claims the source can—and cannot—support.
We preserve publisher fields while turning inconsistent names, addresses, identifiers, dates, and statuses into a stable contract.
We distinguish a real record change from a broken feed, capped page, empty response, schema drift, or stale publisher.
Use the live self-service APIs and MCP tools, or scope a workflow-specific adapter with retry, idempotency, and downstream review built in.
Every consequential result needs enough context to inspect, reproduce, question, and correct it without treating uncertainty as clearance.
We publish task-to-tool guidance and machine-readable contracts so an agent can select the right tool, supply the right identifier, and preserve the result boundary.
One pipeline, five observable gates. A source does not enter production merely because one request returned rows.
| Need | Start here | Commercial path |
|---|---|---|
| Inspect a schema or sample | Public documentation, samples, Postman, and bounded examples | Free |
| Run a supported record workflow | Apify Actor, API, or MCP | Usage-priced on the live listing |
| Have one permit portfolio reviewed | Up to 25 addresses in one supported jurisdiction | $99 one-time audit |
| Monitor a supported permit scope | Up to 500 addresses with baseline and recurring comparisons | $500/month founding pilot |
| Add a source, adapter, or product integration | Source feasibility plus an agreed delivery and review contract | Scoped quote after the feasibility boundary is known |
Send the issuing source or system, one exact identifier, the decision the evidence must support, and the delivery route you need. We will map the strongest bounded path and tell you plainly what the source can prove.
We welcome collaboration with developers, public servants, data owners, researchers, and AI teams. Source corrections, adversarial test cases, integration feedback, and thoughtful criticism are useful contributions—and we appreciate every serious person willing to help make public data easier to trust and use.
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