Reaching the closing-cost engine inside PacificCoastAgent ONE

Where the numbers in a net sheet come from

A seller net sheet generated in PacificCoastAgent ONE is not a static PDF. It is the output of a calculation engine fed by California county fee tables that PalmAgent maintains and syncs to the app server-side. The arithmetic runs on the device. The fee schedules behind it do not. That split is the whole reason this app is worth integrating: an agent sees a finished number, but the structured inputs — per-county recording fees, documentary transfer tax, the filed title-rate table for the Pacific Coast region — live behind the account and are exactly what a title company, brokerage, or proptech wants to consume directly.

The route we would take is straightforward: read the app's own backend the way the app reads it, under the authorization of whoever owns the branded deployment, and turn the fee-schedule and net-sheet surfaces into a clean API. The brand owner can authorize this because it is their account and their data.

Data the app holds, surface by surface

Per its Google Play and App Store listings and the PacificCoastAgent site, the app describes itself as preloaded with 20+ real estate calculations plus a content library. Mapped to where each surface originates:

Two domains carry the value. The fee and title-rate schedules are reference data most integrators cannot easily reproduce for California. The saved net sheets are transaction records. Everything else is supporting.

Reaching it under the brand owner's authorization

Three routes apply here. They differ in what comes back and how durable it is.

Protocol analysis of the mobile backend

The app authenticates an agent, then syncs fee schedules and posts calculation requests to PalmAgent's backend. Observing and documenting that traffic — auth and session, the schedule-sync call, the net-sheet calculation endpoint, the content-library sync — yields structured fee tables and calculation input/output, not rendered pages. Medium effort. Durable, with a maintenance check that re-pulls and re-validates when the client app or its sync contract changes. Access is arranged with the brand owner during onboarding; the build runs against a brand account or a consenting agent account.

User-consented single-account access

For a brokerage that only needs its own net sheets and estimates synced, a single consenting agent account is enough. Reachable: that account's saved records and the schedules it is served. Lower effort, durability tied to session handling. Good when one office, not a whole sponsor book, is in scope.

Branded export

The app emails and prints branded net sheets. Where raw tables are not needed, those documents can be parsed for the figures shown. Low effort, high stability, but lossy — you get rendered totals, not the underlying schedule. A fallback, not the primary plan.

For most asks the first route is the one to build, because it returns the fee tables and calculation contract rather than a flattened document — and the brand owner can authorize it cleanly. The export route is worth keeping as a cross-check on the numbers.

What the build hands over

• An OpenAPI/Swagger specification covering the session, county fee-schedule, net-sheet calculation and content-sync surfaces.
• A protocol and auth-flow report: the email/password login, the session token and its refresh, and the schedule-version contract the sync depends on.
• Runnable source in Python or Node.js for the key endpoints — login, county schedule pull, net-sheet calculation, content-library sync — not stubs.
• Automated tests run against a brand or consenting account, including a county that uses a charter-city transfer tax so the edge case is covered.
• Interface documentation an in-house team can maintain after handover.
• Data-retention and compliance guidance for the client PII a saved net sheet carries.

Each piece is tied to a real surface above. The net-sheet calculation source is the centre of the work; the schedule pull is what makes its output trustworthy across California counties.

Inside a net-sheet request

The shape below is illustrative. Exact paths and field names are confirmed during the build, not asserted here.

# Per-agent login under the branded Pacific Coast deployment
POST /api/v3/session
  { "email": "...", "password": "...", "brand": "pacificcoast" }
-> 200 { "session_token": "...", "expires_in": 3600, "agent_id": ... }

# County-keyed schedule sync (charter cities resolved separately)
GET  /api/v3/schedule?county=Los+Angeles&city=Santa+Monica
  Authorization: Bearer <session_token>
-> 200 {
     "schedule_version": "2026-04",
     "recording_fee_first_page": ...,        # county recorder fee
     "doc_transfer_tax_per_500": "0.55",     # CA county base rate
     "city_transfer_tax": { "Santa Monica": ... },
     "title_rate_table": "owners-2026r1"     # tracks DOI rate filings
   }

# Net-sheet calculation
POST /api/v3/netsheet
  Authorization: Bearer <session_token>
  { "county": "Los Angeles", "sale_price": 1250000,
    "loan_payoff": 640000, "commission_pct": 5.0,
    "seller_paid": ["owners_title", "escrow_half"] }
-> 200 { "line_items": [
           {"label":"Documentary transfer tax","amount": ...},
           {"label":"Owner's title premium","amount": ...},
           {"label":"County recording","amount": ...} ],
         "net_to_seller": ... }

# 401 -> refresh session   409 -> schedule_version moved, re-pull /schedule
        

The error handling matters as much as the happy path. A moved schedule version is the signal that California fee or title-rate data changed underneath you, and the integration has to treat it as a re-pull, not an error to swallow.

California rules that shape the work

This is consumer transaction data in one state, so the regime is concrete. A saved net sheet contains a client's name, contact details, sale price and loan payoff — personal information under the California Consumer Privacy Act as amended by the CPRA, enforced by the California Privacy Protection Agency and the state Attorney General. Public property records are exempt from that definition; a client's payoff balance and contact block are not, so the integration is built data-minimized — only the fields a use case needs, client identifiers kept out of logs, access logged, NDA where the title company asks for one. On the reference-data side, the title-premium figures track underwriter rate filings with the California Department of Insurance, and the documentary transfer tax follows county rates under the state Revenue and Taxation Code, with some charter cities adding their own. None of that is static, which is why the integration tracks a schedule version rather than baking numbers in.

Engineering details we plan around

Three things about this specific app shape the build, and we handle each as part of it.

• Charter-city fee resolution. The Pacific Coast deployment is keyed to California counties, but charter cities such as Los Angeles, San Francisco and Santa Monica levy a city documentary transfer tax on top of the county rate. We map fee resolution per county and per charter city so a net sheet matches what the app shows, not a flat statewide figure.
• Filed-rate version drift. Title-premium tables move when underwriters file new rates with the California Department of Insurance and PalmAgent refreshes the server-side schedule. We design the sync to detect a schedule-version change and re-pull, and add a maintenance check that re-validates the calculation against known cases when the client app updates.
• PII inside saved net sheets. A saved sheet is a small dossier on a real seller. We scope the extraction to the fields the integration uses, keep client identifiers out of logs, and arrange access — a brand sponsor account or a consenting agent login — with you during onboarding.

What integrators come to this for

• A title company wants its sponsored agents' net sheets mirrored into its escrow-opening system, so a deal that starts in the app shows up as a file without re-keying.
• A brokerage CRM wants a live seller net estimate on each listing record, computed from the same county-keyed engine the agents already trust.
• A proptech wants California county recording-fee and documentary-transfer-tax tables as a maintained data feed for its own quoting, with charter-city rates resolved correctly.

Keeping figures current

Fee schedules and title-rate filings change on their own clock, and the app syncs them server-side. The integration pins the active schedule version, diffs it when the backend reports a new one, and re-pulls. Client-app updates trigger the maintenance re-validation rather than a silent break. The aim is simple: a figure the integration returns this month is the same figure the app would have shown that day.

The interface, as shipped

Screenshots from the store listings, useful when documenting which on-screen figure maps to which backend field.

Other tools agents and title shops use

The same-category tools, named so the integration picture is complete. Several share a backend pattern with this app.

• TitleCapture — multi-calculator net-sheet and title-quote platform used by many title operations; holds quote and estimate records server-side.
• CostsFirst — First American's free closing-cost and net-sheet tool, desktop and mobile, with account-level data.
• Net Sheet Calc by TitleTap — branded net-sheet calculator distributed by title companies.
• First American Title Rate Calculator — a widely used title-premium calculator tied to that underwriter's filed rates.
• FidelityAgent ONE — a sibling PalmAgent regional brand for Fidelity National Title, same ONE engine, different fee scope.
• IndependenceTitleAgent ONE — another PalmAgent regional deployment with its own county tables.
• CTOAgent ONE — a regional ONE brand serving a different title operation.
• MTCAgent ONE — a further ONE-platform regional build with a separate sponsor set.

Because the ONE-platform brands share an engine and differ mainly in fee scope, an integration built for the Pacific Coast deployment ports with modest rework to a sibling brand.

Sources and review

Checked in May 2026 against the app's store listings and the California fee and privacy authorities that govern the figures it produces. Primary references opened for this brief: Google Play listing, App Store listing, California Attorney General — CCPA, and a California county documentary-transfer-tax reference. Reviewed 2026-05-18 by the OpenBanking Studio integration desk.

Questions integrators ask about PacificCoastAgent ONE

Does the integration return California county fee tables, or only finished net-sheet totals?

Both are reachable. Protocol analysis of the app's backend exposes the per-county recording-fee and documentary-transfer-tax inputs and the title-rate table the Pacific Coast build uses, alongside the computed net-sheet line items. An integrator can recompute figures from the tables or just consume the totals the app produces.

PacificCoastAgent ONE is a regional PalmAgent brand — does that change the route?

It scopes it. The Pacific Coast deployment is keyed to specific California counties, and some charter cities levy their own documentary transfer tax on top of the county rate. We map fee resolution per county and per charter city so a Los Angeles or San Francisco net sheet matches what the app shows rather than a flat statewide approximation.

Can saved client net sheets be synced without exposing client PII broadly?

Yes. A saved net sheet carries a payoff balance and contact details that are not public record, so we pull only the fields the integration needs, keep client identifiers out of logs, and work under NDA where the title company requires it.

How current are the title-premium and transfer-tax figures the integration returns?

They track the server-side schedule the app syncs. Title premiums follow underwriter rate filings with the California Department of Insurance, and transfer tax follows county and city rates. We pin the active schedule version, diff it on change, and re-pull when it moves.

Getting this built

The deliverable here is a normalized API over the county-keyed net-sheet engine and its California fee tables, with runnable Python or Node.js source for the login, schedule-sync and calculation endpoints, an OpenAPI spec, automated tests, and an interface report. Source-code delivery starts at $300 and is paid only after delivery, once it runs against your account. Prefer not to host it yourself — run our endpoints instead and pay per call, nothing upfront. A typical build is one to two weeks. Tell us the app name and what you need from its data at /contact.html; access, sponsor-account or NDA arrangements are set up with you as part of the engagement.