Turn BayAreaAgent ONE net sheets and rate tables into an API your stack can call
BayAreaAgent ONE is the Bay Area branded edition of PalmAgent's city/county closing-cost engine — preloaded title insurance premiums, escrow splits, transfer taxes and recording fees that produce a seller net sheet or a buyer estimate in seconds. That same structured math is exactly what a CRM, a lender's loan-origination system, a title back office or a brokerage dashboard wants to read programmatically. We deliver that bridge: authorized protocol analysis, a clean REST wrapper, OpenAPI docs, and runnable source.
What we deliver
Every engagement ships a documented, testable package — not a black box. You receive the protocol findings, a hosted-ready API layer, source you can run, and the compliance notes that matter for real estate settlement data in the United States.
Deliverables checklist
- API specification (OpenAPI / Swagger) for login, net sheet, buyer estimate, rate-table and webhook endpoints
- Protocol & authorization report (token flow, session refresh, request signing, sponsor/branding parameters)
- Runnable source for the net sheet and buyer estimate APIs (Python and Node.js reference clients)
- Automated tests, sample payloads, and a Postman / curl collection
- Compliance guidance: RESPA/TRID disclosure context, state title-rate filings, NAR 2024 compensation fields, FinCEN notes, CCPA/GDPR data handling
- Optional hosted endpoint with metering for the pay-per-call model
API example: seller net sheet (pseudocode)
// Generate a seller net sheet (pseudocode)
POST /api/v1/bayareaagent/net-sheet
Content-Type: application/json
Authorization: Bearer <ACCESS_TOKEN>
{
"county": "Alameda",
"state": "CA",
"sale_price": 1295000,
"existing_loan_payoff": 612000,
"listing_commission_pct": 2.5,
"buyer_agent_compensation": { "type": "percent", "value": 2.5 },
"owner_title_policy": true,
"seller_credits": 5000
}
200 OK
{
"net_sheet_id": "ns_8K2v...",
"title_premium": 3144.00,
"escrow_fee": 1995.00,
"county_transfer_tax": 1942.50,
"recording_fees": 95.00,
"prorations": { "property_tax": -2210.13 },
"total_costs": 51190.00,
"estimated_net_proceeds": 631810.00,
"pdf_url": "https://.../ns_8K2v.pdf"
}
Engagement models
- Source code delivery from $300 — you receive runnable API source and full documentation; pay after delivery once it works for you.
- Pay-per-call API — use our hosted endpoints and pay only for the calls you make, no upfront fee; good for teams that want usage-based pricing.
- Both models include a scoping call, the protocol report, and post-delivery fixes for the agreed scope.
Data available for integration (OpenData perspective)
The table below maps what BayAreaAgent ONE produces or stores to where it comes from inside the app, how granular it is, and the kind of downstream system that consumes it. Derived from the app description and from public material on PalmAgent's ONE product line and its partner integrations.
| Data type | Source (screen / feature) | Granularity | Typical use |
|---|---|---|---|
| Seller net sheet | Seller Net Sheet calculator | Per transaction, itemized: sale price, loan payoff, commissions, title premium, escrow fee, transfer tax, recording fees, prorations, net proceeds | CRM/transaction-management sync, listing presentations, deal pipeline analytics |
| Buyer cash / finance estimate | Buyer Estimate calculator | Per transaction: purchase price, down payment, loan amount, lender fees, lender's title policy, prepaids, total cash to close | Lender pre-qualification, LOS hand-off, buyer consultation packets |
| Title insurance rate tables | Branded county/state rate engine | County- and state-level, by policy type (owner's / lender's) and price band | Quote standardization, rate audit, pricing analytics |
| Escrow / settlement fee schedules | Fee configuration per sponsoring title company | County-level, with buyer/seller split rules | Consistent quoting across channels, reconciliation against the Closing Disclosure |
| Transfer tax & recording fees | County data set | County and city level: percentage rates and flat fees | Net sheet accuracy, jurisdiction reporting, compliance checks |
| Mortgage & buydown scenarios | HandiCalc, Buydown (with HOA), Affordability, Rent vs. Buy | Per scenario: rate, term, P&I, PMI, taxes, HOA, buydown points | Affordability tools, marketing flyers, lender co-marketing |
| Multiple-offer comparison | Multiple Offer calculator | Per offer: price, financing type, concessions, net to seller | Offer management, seller decision support |
| Buyer agent compensation | Buyer Compensation calculator (2024 NAR format) | Per deal: percent or flat fee, who pays, written-agreement reference | NAR settlement compliance, disclosure forms, brokerage reporting |
| Agent profile & branding | Account / sponsor settings | Per user, per sponsoring title company; ONE Premium subscription status | White-label provisioning, partner account management |
| Saved estimates & client records | History | Per client, timestamped versions | Follow-up automation, pipeline reporting, audit trail |
Typical integration scenarios
Four end-to-end flows we have scoped for closing-cost and net-sheet data. Each lists the business context, the data or API involved, and how it maps to OpenData / OpenFinance patterns.
1 · CRM / transaction-management sync
Context: an agent generates a seller net sheet in BayAreaAgent ONE and wants it attached to the deal record in Dotloop, SkySlope or a brokerage CRM without re-keying.
Data / API: POST /net-sheet returns the itemized JSON plus pdf_url; a net_sheet.created webhook pushes it to the CRM connector.
OpenData mapping: the app becomes a queryable source of transaction-level closing-cost records; the CRM is the consumer in a classic producer → API gateway → consumer flow.
2 · Lender pre-qualification & LOS hand-off
Context: a loan officer needs the buyer's total cash to close and prepaid items at pre-qual, matching the estimate the agent already showed the client.
Data / API: POST /buyer-estimate with purchase price, down payment and loan terms; the response feeds the LOS (e.g. an Encompass or Blend intake) and a Loan Estimate worksheet.
OpenFinance mapping: consented sharing of a consumer's prospective-transaction figures between an app and a regulated lending workflow — the same consent-and-scope model OpenBanking uses for account data.
3 · Title back-office reconciliation
Context: a title/escrow operation wants to compare the premium and escrow fee quoted in the app against the figures that land on the final Closing Disclosure, and flag variances.
Data / API: GET /rates for the county band used, plus the stored net sheet; a nightly job diffs quoted vs. actual and writes a variance report to Qualia / ResWare / SoftPro.
OpenData mapping: rate tables and quotes become reference data that an internal data warehouse ingests for QA and pricing governance.
4 · Brokerage analytics & compliance archive
Context: a brokerage wants average net proceeds, average commission and deal volume by county across all agents, and an immutable record of every estimate shown to a client.
Data / API: a batch export endpoint streams net sheets, buyer estimates and buyer-compensation fields as CSV/JSON; each record carries a consent flag and timestamp for RESPA and state audit, with FinCEN-style flags on non-financed entity purchases.
OpenFinance mapping: aggregation of transaction artifacts into a governed analytics layer with retention and consent metadata — the audit backbone regulators expect.
Technical implementation
Below are three representative snippets — authorization, a county rate-table read, and a webhook receiver with error handling — so the depth is concrete rather than promised. Field names are illustrative; the delivered OpenAPI spec is authoritative.
1 · Token-based login
POST /api/v1/bayareaagent/auth/token
Content-Type: application/json
{
"client_id": "of_lab_demo",
"grant_type": "account_credentials",
"account_ref": "agent@brokerage.com",
"sponsor_code": "BAYAREA"
}
200 OK
{
"access_token": "eyJhbGciOi...",
"token_type": "Bearer",
"expires_in": 3600,
"refresh_token": "rt_9f2a...",
"scope": "net_sheet buyer_estimate rates:read"
}
2 · County rate-table read
GET /api/v1/bayareaagent/rates
?state=CA&county=SantaClara
&price=1450000&policy=owner
Authorization: Bearer <ACCESS_TOKEN>
200 OK
{
"county": "Santa Clara",
"policy": "owner",
"premium": 3486.00,
"rate_band": "1,400,001-1,500,000",
"escrow_fee_split": "buyer_seller_50_50",
"transfer_tax": { "county_per_1000": 1.10 },
"recording_fee_flat": 95.00,
"effective_date": "2025-01-01",
"source": "filed rate schedule"
}
3 · Webhook receiver (Node.js)
app.post('/hooks/bayareaagent', (req, res) => {
const sig = req.header('X-Signature');
if (!verifyHmac(req.rawBody, sig, SECRET)) {
return res.status(401).json({ error: 'bad_signature' });
}
const e = req.body; // net_sheet.created | buyer_estimate.created
try {
if (e.type === 'net_sheet.created') {
crm.attachDocument(e.data.deal_ref, e.data.pdf_url, e.data);
}
return res.status(200).json({ ok: true });
} catch (err) {
// retry-safe: return 5xx so the sender re-delivers
return res.status(503).json({ error: 'downstream_unavailable' });
}
});
Data flow / architecture
A minimal pipeline: BayAreaAgent ONE app/web (agent generates a net sheet or estimate) → Authorized API gateway (OAuth-style tokens, rate limiting, request logging) → Normalization & rate-table service (canonical county data, field mapping, validation) → Encrypted estimate store (versioned records, consent + timestamp) → Outputs (JSON/CSV/PDF exports, webhooks, BI feeds) consumed by CRM, LOS, title back office or a brokerage dashboard. Four moving parts, each independently testable, each logging for audit.
Market positioning & user profile
BayAreaAgent ONE sits in the US real estate closing-cost / net-sheet niche — a B2B2C product. The direct users are real estate agents, brokers and loan officers; the distribution channel is title and escrow companies that white-label PalmAgent's ONE engine under regional brands (the "BayAreaAgent" branding points at San Francisco Bay Area / Northern California title operations, with sibling editions like FidelityAgent, FirstInAgent and CTOAgent serving other underwriters and regions). It runs on iOS and Android with a companion desktop web app, monetizes via a free 30-day trial and a low-cost ONE Premium subscription (around $0.99/month or $9.99/year), and competes alongside underwriter calculators and SaaS net-sheet platforms. That means the integration audience is title marketing teams, brokerage operations and proptech vendors who want the same numbers their agents already trust, exposed as an API.
Compliance & privacy
Closing-cost data is consumer-financial and jurisdiction-specific, so the deliverables are framed against the rules that actually govern it in the United States:
- RESPA & TRID — net sheets and buyer estimates are pre-disclosure tools; we keep wording and field mapping consistent with the Loan Estimate / Closing Disclosure framework administered by the Consumer Financial Protection Bureau.
- State title-insurance rate regulation — title premiums are filed with state insurance departments (in California, the Department of Insurance); rate-table syncs are tagged with effective dates and source.
- 2024 NAR settlement — buyer-agent compensation became separately negotiated and written-agreement-based as of August 17, 2024; the buyer-compensation fields reflect that format. See the NAR settlement FAQs.
- FinCEN residential real estate guidance — the app surfaces FinCEN alerts for non-financed entity/trust purchases; note the FinCEN Residential Real Estate Reporting Rule was vacated by a federal court in March 2026, so we keep flagging informational rather than a filing obligation and track the status.
- Privacy — CCPA/CPRA for California consumers and GDPR-style minimization for any EU-touching data: store only the fields needed, log consent, and support deletion. We never process accounts without the owner's authorization.
Typical modules
- Account login and token refresh with sponsor/branding scoping
- Seller net sheet generation (JSON + branded PDF)
- Buyer cash / finance estimate generation
- County rate-table and fee-schedule reads
- Mortgage, buydown (HOA-aware), affordability and multiple-offer calculators
- Buyer-agent compensation fields (2024 NAR format)
- Webhooks, batch export, and a consent/audit log
Screenshots
App screens from the BayAreaAgent ONE listing — the calculators and outputs that the APIs above mirror. Tap any thumbnail to enlarge.
Similar apps & the integration landscape
BayAreaAgent ONE is one of several closing-cost, net-sheet and title-quote tools real estate professionals use. Listing them here is purely about the broader ecosystem — teams often run more than one, and a unified export across them is a common ask. No ranking, no criticism: just the landscape this integration sits in.
- PalmAgent ONE — the generic edition of the same engine BayAreaAgent ONE is built on; identical net sheet, buyer estimate and calculator data, branded for different markets. Teams migrating between regional editions usually want one schema for all of them.
- TitleCapture — a branded title-quote platform with multiple calculators in one app; holds rate tables, fee schedules and quote records that overlap heavily with the net sheet data above.
- Net Sheet Calc — a desktop and mobile net-sheet tool covering seller net sheet, buyer-finance, buyer-cash and refinance scenarios; the kind of source you might consolidate alongside BayAreaAgent ONE.
- SkySlope (net sheet / agent calculator) — pairs transaction-management compliance with net sheets, closing-cost estimates and payment scenarios; users frequently want the estimate to land directly in the SkySlope deal file.
- Qualia Connect — a shared closing platform for agents, title agents and lenders; consumes net sheet and fee data as part of the order, a natural downstream target.
- Dotloop — transaction management with forms, e-signatures and compliance "loops"; a common destination for the generated net sheet PDF and its structured fields.
- CloseSimple — closing-status and communication software for title and escrow; integrates with title production systems and benefits from consistent quoted-fee data.
- First American "FIRST" closing cost app — an underwriter-provided mobile calculator (title premium rates, mortgage payments, buyer and seller estimates); part of the same comparison set agents browse.
- Old Republic Title & Stewart Title rate calculators — underwriter rate-quote tools whose premium tables map onto the same county-band structure used here.
- MetroClose and TitleTap — a calculator app and a title-agency web platform respectively; TitleTap already publishes a PalmAgent integration, which is the kind of partner hook our wrapper complements.
About us
We are an independent technical studio focused on app interface integration and authorized API work. Our engineers come from fintech, payments, title/escrow software, mobile, and cloud backgrounds, and we have shipped protocol-analysis and integration projects across banking, e-commerce, travel, and proptech.
- Real estate settlement, lending, and payments integrations
- Protocol analysis, REST/GraphQL wrappers, and OpenAPI documentation
- Python / Node.js / Go reference clients and test harnesses
- Full pipeline: scoping → protocol analysis → build → validation → compliance notes
- Source code delivery from $300 — runnable API source and full docs; pay after delivery upon satisfaction
- Pay-per-call API billing — hosted endpoints, pay only per call, no upfront cost
Contact
Send us the target app and your requirements (which data, which counties or brands, which downstream system) and we will come back with scope, timeline and price.
For questions about the original app itself, PalmAgent's own support is at support@palmagent.com — we are not affiliated with PalmAgent or any title underwriter.
Engagement workflow
- Scope confirmation — which data and endpoints (login, net sheet, buyer estimate, rates, webhooks), which counties/brands, which downstream system.
- Authorized protocol analysis and API design — 2–5 business days, complexity-dependent.
- Build and internal validation — 3–8 business days.
- Docs, samples, and test cases — 1–2 business days.
- Typical first delivery: 5–15 business days; third-party approvals or wide multi-county scopes may extend it.
FAQ
What do you need from me to start a BayAreaAgent ONE integration?
Is there an official BayAreaAgent ONE public API?
How long does delivery take?
How do you handle compliance and privacy?
📱 Original app overview — BayAreaAgent ONE (appendix)
BayAreaAgent ONE is a city/county specific closing-cost app, preloaded with the calculations and closing costs that real estate professionals in its market need. It lets agents generate quick, professional seller net sheets and buyer estimates for clients in seconds, and it is presented as a branded edition of PalmAgent's ONE product line — "real estate in the palm of your hand." More details are published at batitleagent.com, and questions go to PalmAgent's support team at support@palmagent.com.
- Core tools: Seller Net Sheet and Buyer Estimate (buyer cash and buyer finance), plus extras like Rent vs. Buy, Monthly Affordability, HandiCalc (mortgage payment), Buydown (with HOA support), and Multiple Offer comparison.
- Recent updates (last ~2 years): in December 2024 the ONE line shipped a new buyer-agent compensation format built for the 2024 NAR settlement changes; a March 2025 update added an all-new buyer compensation calculator, a swipe-over modified-offer feature, and HomeLink multi-loan handling. The app also surfaces built-in FinCEN alerts to support compliance workflows.
- Platforms & access: iOS and Android, with a companion desktop web app; a free 30-day trial and an optional low-cost ONE Premium subscription (around $0.99/month or $9.99/year).
- Ecosystem: part of a family of white-labeled editions (PalmAgent ONE, FidelityAgent ONE, FirstInAgent ONE, CTOAgent ONE and others) distributed through title and escrow companies; published partner integrations include TitleTap.
This page is an independent technical-integration write-up. BayAreaAgent ONE and PalmAgent are products of PalmAgent Software; trademarks belong to their respective owners. We describe how the app's data could be exposed via authorized APIs — we do not redistribute the app or any underwriter's rate data.