Pulling RealtyTitleAgent ONE's saved net sheets and county rate tables into your stack

Every seller net sheet and buyer estimate generated in RealtyTitleAgent ONE is computed from a city- and county-specific rate schedule that PalmAgent keeps server-side and syncs back to the agent's account across multiple devices and a web client — a single login spans up to five devices, per the By The Sea Realty agent-portal writeup. That synced state is the part worth integrating: the saved estimates, the client each was run for, and the underlying jurisdiction rate tables behind the math. One detail shapes everything else here. RealtyTitleAgent ONE is a title-company-branded edition of PalmAgent's ONE platform; the same backend drives FidelityAgent ONE, TGAgent ONE and the other partner builds visible on the App Store, which is why the route below is scoped per brand rather than treated as one generic app.

The bottom line: this is not an offline calculator. It is an authenticated account with server-side records and jurisdiction rate data, so the work is interface integration, not file parsing. The route we would actually run is authorized protocol analysis of the same sync the app performs, driven against a consenting agent or title-brand account. Native PDF or email output of a finished net sheet is a thin fallback for the document layer only; it loses the rate schedule, which is the durable asset.

What the account actually holds

Each row below reflects a real surface of this app as described on its public listings and a title brokerage's writeup of the ONE app, not a generic data menu.

Getting at it: the routes that apply here

Authorized protocol analysis of the sync interface

The app maintains one account across several devices and a web client, so it talks to a PalmAgent backend to push and pull saved estimates, branding and rate tables. We map that authenticated traffic — sign-in, token, the sync calls for net sheets, buyer estimates and the per-county schedule. Reachable: effectively everything the agent sees. Effort: moderate, concentrated in the auth and device-binding model. Durability: good, since it follows the app's own sync rather than a brittle screen scrape. We set up the access path with you: a consenting agent login or a title-brand test account.

User-consented credential access

Where a brokerage or title brand already issues its agents logins, we run the same interface under their authorization against a consenting account. This reflects that account's exact entitlement and county provisioning. It is the lowest-friction path when the relationship already exists.

Native document export (fallback)

The app produces branded net-sheet and buyer-estimate documents that get shared with clients. Capturing those as structured records is a fallback for the document layer when only finished estimates are needed. It does not yield the rate schedule, so we treat it as a supplement, not the spine.

For this app the first route is the one to build on, with consented credentials as the practical way to run it; the document fallback is worth wiring only if a client cares solely about finished estimates and not the math behind them.

TRID, RESPA and the privacy line

This is US real-estate settlement data, so the relevant frame is not open banking. How closing costs are disclosed to a consumer is governed by the TILA-RESPA Integrated Disclosure rule (TRID), administered by the CFPB; the Loan Estimate and Closing Disclosure are the regulated artifacts there. That framework is also why title companies hand agents branded ONE builds as a relationship tool under RESPA's referral rules rather than as a paid inducement. None of that stops an agent from syncing their own saved work into a brokerage system. The exposure shifts if your product then shows figures to a borrower — the disclosure duties attach to your workflow at that point, and we flag where the line sits. Client personal information riding along on a saved estimate brings US state privacy law into play, the California CCPA/CPRA being the usual reference; we minimize the personal fields pulled, keep consent and access logs, and work under NDA where the title-company relationship calls for it.

Things we account for on this build

The closing-cost math is jurisdiction-specific and maintained per partner build. We resolve which county and city tables and which title-company branding the target account is provisioned for, and we extract the rate schedule itself — premium tiers, recording fees, transfer-tax brackets — not just the rolled-up totals, so the integration keeps matching the app after a county updates a fee.

One account stays live across several devices and a web client. We design the pull so it reflects the same server state the agent sees anywhere. When a partner front end or a rate-table version changes, the numbers can drift; our maintenance includes rechecking against the live app and patching the parser, so you are not the one chasing format changes.

Free and ONE Premium tiers retain different amounts of work server-side, per the By The Sea Realty writeup. We scope extraction to the account's actual entitlement so the integration never promises records a free-tier account does not keep. Access, the title-brand provisioning, and any sandbox or consenting account are arranged with you during onboarding.

What lands in your repo

• An OpenAPI/Swagger description of the authenticated sync surface: sign-in, account and branding profile, rate-table fetch by jurisdiction, saved seller net sheets, saved buyer estimates, the ancillary calculators.
• A protocol and auth-flow report: email/password sign-in to token, the session chain, the multi-device binding model, refresh behaviour.
• Runnable source in Python and Node.js for the calls that matter — authenticate, list and fetch saved net sheets and buyer estimates, fetch a county rate schedule.
• Automated tests against those calls.
• A normalized closing-cost schema so PalmAgent output lines up with other title-quote sources.
• Interface documentation with data-retention and TRID/privacy guidance, under NDA where the brand relationship needs it.

A login-then-fetch sketch

Illustrative shape only; exact paths, field names and the token scheme are confirmed against the live build during the work.

# Illustrative — confirmed against the live build during the engagement.

POST /api/v3/auth/login
  { "email": "agent@brokerage.com", "password": "*****",
    "device_id": "d-7741" }
-> 200
  { "token": "eyJ...", "expires_in": 3600,
    "account": { "id": "ag_8821", "brand": "RealtyTitleAgent",
                 "provisioned_counties": ["TX-Travis","TX-Williamson"] } }

GET /api/v3/netsheets?since=2026-04-01
  Authorization: Bearer eyJ...
-> 200
  [ { "id": "ns_5530", "client": "J. Okafor", "type": "seller",
      "sale_price": 432000, "loan_payoff": 281750,
      "commission_pct": 5.5, "prorated_taxes": 1842.10,
      "title_premium": 2461.00, "recording_fees": 142.00,
      "transfer_tax": 0.00, "estimated_seller_net": 118930.40,
      "county": "TX-Travis", "updated_at": "2026-04-22T15:03:11Z" } ]

# 401 -> token expired: re-run login. device_id must match a
# bound slot or the account's device slots are exhausted.
      

Normalizing it across title platforms

So PalmAgent output unifies with other net-sheet sources, the extractor maps onto vendor-neutral shapes (illustrative):

SellerNetSheet {
  source: "palmagent.one",
  party: "seller",
  property_county: "US-TX-Travis",
  sale_price: 432000,
  payoffs: [ { kind: "first_mortgage", amount: 281750 } ],
  costs: [ { code: "title_premium", amount: 2461.00 },
           { code: "recording",     amount: 142.00 },
           { code: "transfer_tax",  amount: 0.00 } ],
  net_to_party: 118930.40
}

RateSchedule {
  jurisdiction: "US-TX-Travis",
  title_premium_tiers: [ /* band -> rate */ ],
  recording_fee: { base: 26.00, per_page: 4.00 },
  transfer_tax: { rate: 0.0, note: "no state transfer tax in TX" }
}
      

Where this gets used

• A brokerage pipes every seller net sheet its agents save into its transaction-management system, so deal economics show up without re-keying.
• A title company shipping a branded ONE edition mirrors the county rate schedules into its own public quote API, keeping its website and the app in step.
• A lender scores incoming buyer estimates — cash to close, estimated payment — as early pre-approval signals.
• A real-estate CRM ingests client-linked estimates and share history to dedupe leads and time follow-up.

Sources and what was verified

Checked in May 2026 against the public RealtyTitleAgent ONE / PalmAgent ONE listings and the CFPB's TRID reference. Account behaviour and the calculator set come from the App Store listing and a title brokerage's agent-portal writeup of the ONE app; the closing-cost regulatory frame from the CFPB; the surrounding tool set from a public catalog of title-rate and net-sheet calculators. Compiled by the OpenBanking Studio integration desk, 2026-05-18.

• PalmAgent ONE — App Store listing
• By The Sea Realty — Agent ONE app writeup (account, devices, web, calculators)
• CFPB — TILA-RESPA Integrated Disclosures (TRID)
• NetSheetCalc — catalog of title-insurance rate / net-sheet calculators

Other tools in the same title-quote space

Named for ecosystem context — a unified closing-cost integration would normalize across several of these. Plain references, no ranking.

• TitleCapture — branded title-quote platform with seller net sheets, buyer estimates and agent lead capture.
• Qualia Connect — title quotes and seller net sheets bundled into the broader Qualia closing platform.
• NetSheetCalc — branded title-insurance rate calculator and net-sheet tool.
• Snapdocs — digital closing and eClosing workflow with settlement data.
• Doma — title insurance and closing automation holding transaction data.
• Federal Title "Close It!" — closing-cost estimator and closing-disclosure builder.
• Clever Real Estate seller closing-cost calculator — consumer-facing seller net estimate.
• HomeLight seller closing-cost calculator — seller net proceeds estimation.
• EstatePass closing-cost calculator — by-state buyer and seller cost estimates with title and escrow fees.
• Rattikin Title seller's closing-cost calculator — title-company calculator with settlement-cost output.

Questions integrators tend to ask about RealtyTitleAgent ONE

Are the county and city closing-cost numbers reachable as the underlying rate tables, or only as the totals printed on a finished net sheet?

Both. The saved net sheets and buyer estimates carry the computed line items, but the more durable target is the city- and county-specific rate schedule the app applies: title-premium tiers, recording fees and transfer or documentary-stamp tax brackets. We pull the schedule itself so your own math reproduces the app's and stays right when a county revises a fee.

RealtyTitleAgent ONE shares the PalmAgent ONE backend with FidelityAgent ONE, TGAgent ONE and other branded builds. Does that change anything?

It mostly helps. The branded editions are the same platform with different jurisdiction provisioning and branding, so the sign-in and sync surface is consistent. We confirm which partner build and which county tables the target account is provisioned for so net-sheet figures come back identical to what the agent sees.

Does TRID or RESPA limit what we can do with the closing-cost figures once they are out?

Those rules govern how a lender or settlement agent must disclose costs to a consumer on the Loan Estimate and Closing Disclosure, per the CFPB. They do not bar syncing an agent's own saved estimates into your systems, but if your product then shows figures to a borrower the disclosure obligations attach to your workflow. We flag where that line sits and keep client personal data minimized and access logged.

Our title brand already issues agents logins for its ONE build. Can the integration run on those rather than scraping anonymously?

Yes, and that is the cleaner route. With the agents' or the brand's authorization we drive the same authenticated sync the app uses, against a consenting account, so the pull reflects exactly that account's entitlement and county provisioning. Access is arranged with you during onboarding.

Starting a build with us

A working pull of the saved net sheets, buyer estimates and the county rate schedules — sign-in through structured fetch — usually runs one to two weeks for this app. You can take the runnable source and documentation as a one-off from $300, paid only after delivery once it works for you; or skip hosting entirely and call our maintained endpoints, paying per call with nothing upfront. Tell us the app name and what you want out of its data and we handle the access path, the title-brand provisioning and the compliance posture with you. Start at /contact.html.