Pulling BayAreaAgent ONE's net sheets and county fee tables into your stack

Title premiums, escrow, recording fees and transfer tax differ by county across the San Francisco Bay Area, and the rate set behind BayAreaAgent ONE is preloaded per county rather than typed in by the agent. It is a branded build on PalmAgent's platform, scoped to a Bay Area title agency (the app points clients to batitleagent.com, which markets it as a net-sheet and closing-cost tool). An agent opens it, picks a county, enters a sale price, and the app returns a line-item seller net sheet or buyer estimate. The numbers that make that work — the per-county fee tables — and the documents it generates are the parts a brokerage, CRM, or the title agency itself usually wants to reach. That is what this page is about.

What BayAreaAgent ONE keeps on the server

The app is not a static calculator with the math baked into the binary. County fee data is maintained centrally and pulled into the branded build, and the documents an agent produces are recipient-addressed records. Mapped to surfaces an integrator can actually use:

Net proceeds, line by line. That is the record most buyers of this integration are after, with the county table sitting one layer beneath it.

Getting to the net-sheet engine, and which way we'd take

Three routes genuinely apply here. They are not equal.

Authorized interface integration of the app session

The mobile and web clients talk to PalmAgent's backend over an authenticated session to fetch the county tables and to compute and store documents. Working under the customer's authorization — a brokerage, a CRM vendor, or the title agency that owns this brand — we map that traffic, reconstruct the request and response shapes for the fee-table fetch and the net-sheet compute, and wrap them as a clean interface. This reaches both layers: the per-county parameters and the per-transaction documents. It is the most durable route because it follows the same path the app itself uses. We handle the session and onboarding setup with you during the engagement.

User-consented session access

Where a specific agent account (or the title agency's own account) consents, we drive that authenticated session directly rather than reconstructing it cold. This shortens the build and is the natural fit when the party that owns the branded build is the one commissioning the work. Consent and scope are arranged with you as a project step.

Native export capture

Every sheet can be produced as a printable, emailable PDF. Parsing those documents into structured line items is a reliable fallback for anything the session route does not surface cleanly, and it is useful as a cross-check on the computed numbers. On its own it misses the underlying county table, so we treat it as a complement, not the spine.

We would build on the session route and keep export parsing wired in beside it as a verification path. That combination gets you the rate tables, the structured documents, and a check that the two agree.

What lands in your repo

Concrete, tied to this app's actual surfaces:

• An OpenAPI specification covering the fee-table fetch, the net-sheet and buyer-estimate compute, and the document/email surface, with the per-county parameters modeled explicitly.
• A protocol and auth-flow report: how the agent session is established and refreshed, how the branded build selects its fee set, and how documents are addressed to recipients.
• Runnable source for the key calls in Python and Node.js — authenticate, list county tables, compute a seller net sheet, pull the generated document.
• A normalized schema so a San Mateo net sheet and an Alameda net sheet land in the same record shape, with the commission format tagged per sheet.
• Automated tests against representative counties and both commission formats, plus a regression check for when the app's front end shifts.
• Interface documentation and data-retention guidance written against California rules, since these documents carry client PII.

A net-sheet request, sketched

Illustrative, not a published contract. Exact paths and field names are reconstructed during the build from the authorized session; what is confirmed from the app's own behavior is that fee lines resolve from a per-county table keyed to the branded build, and that the commission carries a format marker tied to the NAR settlement change.

# Illustrative only - reconstructed during the build, not vendor-published.

POST /one/netsheet/compute               # authenticated agent session
Authorization: Bearer <session token from sign-in>
{
  "brand":  "BayAreaAgent",              # branded build -> selects fee set
  "county": "San Mateo",                 # drives the preloaded rate table
  "deal": {
    "type": "seller_net_sheet",
    "sale_price":  1850000,
    "loan_payoff":  742000,
    "commission": { "format": "nar_post_settlement",
                    "listing_pct": 2.5, "buyer_agent_pct": 2.5 },
    "prorations": { "property_tax": "...", "hoa": "..." }
  }
}

200 OK
{
  "lines": [
    { "label": "Title insurance (owner)", "amount": 3110.00, "src": "county_table" },
    { "label": "Escrow fee",              "amount": 1450.00 },
    { "label": "County transfer tax",     "amount": 2035.00, "src": "county_table" },
    { "label": "Buyer-agent compensation","amount": 46250.00, "format": "nar_post_settlement" }
  ],
  "net_to_seller": 1041880.00,
  "doc": { "pdf": "/one/doc/<id>.pdf", "emailed_to": "client@example.com" }
}
      

The amounts above are placeholders. The structural points that matter are real: a county key selects the rate table, fee lines carry their source, and the commission line is stamped with which format produced it.

Where teams plug this in

• A Bay Area brokerage wants every listing's seller net sheet pushed into its transaction-management system as structured line items, so deals carry the numbers rather than a PDF attachment nobody parses.
• A real-estate CRM wants buyer estimates generated server-side from the same county tables, so the quote a client sees in the CRM matches what the agent showed in the app.
• The title agency behind this branded build wants its current county rate tables exposed to its public quoting page, sourced from the same data the app already serves.
• An analytics team wants normalized net-sheet records across counties to compare fee burden and commission shape over time.

Client PII, California rules, and how we run it

A seller net sheet names a real seller and is emailed to them; a buyer estimate does the same for a buyer. That is personal information about identified California residents, so the California Consumer Privacy Act as amended by the CPRA is the regime that bites here, not a generic data clause. Settlement and closing figures also sit near federal record-retention expectations under RESPA and TILA, which is why retention is treated as part of the design rather than an afterthought. We operate under the customer's authorization, log what was accessed and when, keep consent records where an individual account is used, minimize stored client PII to what the integration needs, and work under NDA where the title agency requires it. Public county recording data, by contrast, is not treated as protected PII. None of this is a gate the reader clears before we start — it is arranged with you while the work runs.

Engineering specifics we plan around

Two things about this app shape the build, and we handle both:

• Per-county table drift. A county adjusting its transfer tax, or a title underwriter refiling rates, changes the preloaded set without changing the app's screens. We capture each county's table as a versioned snapshot and diff every pull against it, so a San Francisco or Contra Costa rate change shows up as a flagged change instead of silently skewing net proceeds.
• The commission format split. The app's listing describes a buyer-agent compensation format added for the NAR settlement changes. A net sheet computed before that shift carries commission differently from one after, so we model both shapes and stamp every record with the format it used, keeping historical and current sheets comparable.
• Branded-build divergence. BayAreaAgent ONE is one branded build among many on the PalmAgent platform. We scope the integration to this build's Bay Area fee set and branding rather than assuming the generic PalmAgent ONE schedule, because the two diverge and a quote sourced from the wrong set is wrong quietly.

Keeping the rate tables current

The deterministic net-sheet math is stable; the inputs to it are not. County tables move on the counties' and underwriters' schedules, so the delivered integration diffs each county pull against the last known version and surfaces drift rather than absorbing it. HomeLink-style holding-cost figures are model output derived from public records, with their own cadence, so they are kept separate from the line-item math and not blended into a net sheet's totals. Freshness is a property we report, not one we assume.

App screens

Public store screenshots, useful for orienting the surfaces above. Select to enlarge.

What we checked, and when

This mapping draws on PalmAgent's own product site, the PalmAgent ONE App Store listing for the feature set and document behavior, the Bay Area title-agency site the app points clients to, a third-party feature and pricing breakdown of the platform, and the California Attorney General's CCPA guidance for the privacy posture. Citations: palmagent.com, PalmAgent ONE on the App Store, Net Sheet Calc — PalmAgent features and pricing, California DOJ — CCPA.

Mapping by the OpenBanking Studio integration desk · May 2026.

Other PalmAgent-family and net-sheet tools

Same category, useful context for anyone planning a single integration surface across several of these:

• FidelityAgent ONE — a Fidelity-branded build on the same platform, holding the same kind of per-county fee tables and generated estimates.
• TicorAgent ONE — a Ticor-branded closing-cost build with its own county rate sets and per-transaction documents behind an agent account.
• IndependenceTitleAgent ONE — Independence Title's branded build with its own preloaded schedules.
• ChicagoAgent ONE — a metro-scoped build on the platform carrying Chicago-area fee tables.
• CTOAgent ONE — another title-company branded variant producing net sheets and buyer estimates.
• ATAAgent ONE — a branded build with county-specific closing-cost parameters.
• LandmarkAgent ONE — a Landmark-branded net-sheet app on the same PalmAgent platform.
• WesternAgent ONE — a western-market branded build with the same document model.
• Net Sheet Calc — a competing branded seller-net-sheet and title-rate tool with comparable per-transaction estimate data.
• Modern Title Calculator — a title-company web calculator that also produces seller net sheets and buyer estimates.

Questions integrators ask about BayAreaAgent ONE

Can you reach the Bay Area county fee tables the app uses, or only the net sheets it produces?

Both. The per-county rate sets — title premium, escrow, recording, transfer tax — are server-side parameters the branded build pulls down, so the same authorized session that an agent uses to compute a sheet also resolves those tables. The generated seller net sheet or buyer estimate is the per-transaction output layered on top. We map the table layer and the document layer separately because they change on different schedules.

The buyer-agent compensation format changed after the NAR settlement — does that break parsing of older net sheets?

It does not, because we model both shapes. The app's own listing describes a buyer-agent compensation format added for the NAR settlement changes, so a sheet computed before that shift carries the commission differently from one computed after. The normalized schema we deliver tags each net sheet with the format it used, so historical and current records line up instead of silently disagreeing.

BayAreaAgent ONE versus the generic PalmAgent ONE build — does an integration carry over?

Partly. The session and document mechanics are shared platform behavior, so that work transfers. The fee set and branding do not: BayAreaAgent ONE is scoped to its Bay Area title agency's preloaded schedules, which diverge from the generic PalmAgent ONE numbers. We scope the integration to this specific branded build's tables rather than assuming the generic ones.

If the title agency that owns this branded build wants the integration, how does that run?

You give us the app name and what you want out of its data — for instance, structured net-sheet line items pushed into your transaction system, or your updated county tables exposed to your own quoting site. Access and any compliance paperwork are arranged with you as part of the project, not asked of you up front. A working build is normally one to two weeks.

Working with us

A working BayAreaAgent ONE integration — county tables, structured net sheets, tests, and docs — is normally a one-to-two-week build. Source-code delivery starts at $300: runnable source plus interface documentation, paid after delivery once it works and you are satisfied. The alternative is the hosted endpoints — call them and pay per call, with no upfront fee. Send the app name and what you need from its data and we will take it from there — start the conversation here.