AlamoAgent ONE API integration & net sheet data services

1 · Listing-presentation automation in a CRM

Context: a brokerage wants every new listing to carry an up-to-date seller net sheet without agents re-keying numbers. Data/API: POST /v1/alamoagent/netsheet with property, sale_price, loan_payoff and county; the response carries the itemized charges and estimated_net_proceeds. OpenData mapping: the net sheet becomes a structured artifact attached to the CRM deal — the same consent-based, read-with-permission pattern OpenFinance uses for account statements, applied to real estate transaction estimates.

2 · Instant title quote widget on a website

Context: a title agency wants a "get my closing costs" widget that mirrors what its sponsored agents see in AlamoAgent ONE. Data/API: the city/county rate engine via GET /v1/alamoagent/title-rates?state=TX&county=Bexar&price=425000&policy=owner, returning premium, endorsements and simultaneous-issue logic. OpenData mapping: a regulated pricing dataset exposed through a thin, cacheable API — analogous to an OpenBanking product-information endpoint.

3 · Offer-comparison and commission analytics

Context: post-NAR-settlement, a team needs to compare offers where buyer-agent compensation is negotiated per deal. Data/API: the buyer compensation calculator and swipe-over modified-offer data via POST /v1/alamoagent/offer-compare with an array of offers[] each carrying price, concessions and buyer_agent_comp. OpenData mapping: normalized commission and concession fields feed brokerage accounting and BI — transaction-level financial data treated like ledger entries.

4 · Transaction-management & compliance sync

Context: a broker must keep a record of every client-facing estimate for audit. Data/API: a webhook netsheet.created / netsheet.updated plus GET /v1/alamoagent/reports?client_id=… for the report list, timestamps and PDF links. OpenData mapping: an event-driven feed of financial artifacts into a system of record — the same push model OpenFinance uses for transaction notifications.

5 · Mortgage lead enrichment from HomeLink scenarios

Context: a lender partner wants the loan assumptions an agent already modeled. Data/API: GET /v1/alamoagent/homelink?scenario_id=… returning principal, rate, term_months, pi, taxes, insurance, pmi. OpenData mapping: consented hand-off of a borrower's working assumptions, scoped to a single scenario — minimization by design.

Auth: exchange an authorized session for a token

POST /v1/alamoagent/auth/token
Content-Type: application/json

{
  "grant_type": "app_session",
  "device_id": "ios-7f3a...",
  "session": "<AUTHORIZED_PALMAGENT_SESSION>"
}

200 OK
{
  "access_token": "eyJhbGciOi...",
  "token_type": "Bearer",
  "expires_in": 3600,
  "refresh_token": "rt_2b9c...",
  "agent_id": "agt_10482",
  "sponsor": { "title_company": "Alamo Title", "branch": "San Antonio NW" }
}

Generate a seller net sheet

# Python
import requests

r = requests.post(
  "https://api.example.com/v1/alamoagent/netsheet",
  headers={"Authorization": f"Bearer {token}"},
  json={
    "client_id": "cl_55021",
    "state": "TX", "county": "Bexar",
    "sale_price": 425000,
    "loan_payoff": 268500,
    "commission_pct": 5.0,
    "buyer_agent_comp": {"type": "pct", "value": 2.5, "paid_by": "seller_concession"},
    "owner_title_policy": True,
    "prorations": {"property_tax_annual": 9200, "hoa_monthly": 45}
  },
  timeout=20,
)
data = r.json()
print(data["estimated_net_proceeds"], data["line_items"])

Statement-style export + webhook

GET /v1/alamoagent/reports?client_id=cl_55021&format=json&page=1
Authorization: Bearer <ACCESS_TOKEN>

200 OK
{
  "page": 1, "per_page": 25, "total": 3,
  "reports": [
    {"id":"rep_901","type":"seller_net_sheet","created_at":"2026-05-03T14:21:09Z",
     "shared_via":"email","pdf_url":"https://.../rep_901.pdf"},
    {"id":"rep_902","type":"buyer_estimate","created_at":"2026-05-05T09:02:44Z"}
  ]
}

# Webhook delivered to your endpoint
POST https://yourapp.example/hooks/alamoagent
{ "event":"netsheet.updated", "report_id":"rep_901", "client_id":"cl_55021",
  "delta":{"sale_price":[425000,419000]}, "ts":"2026-05-06T16:40:00Z" }

Error handling & rate limits

401  { "error":"token_expired", "hint":"use /auth/token with refresh_token" }
403  { "error":"sponsor_scope", "detail":"county not licensed for this account" }
422  { "error":"validation", "fields":{"sale_price":"must be > loan_payoff"} }
429  { "error":"rate_limited", "retry_after": 30 }

# Client policy: exponential backoff on 429/5xx, refresh-once on 401,
# never retry 422; idempotency key on POST /netsheet to avoid duplicates.

Compliance & privacy

Closing-cost output from AlamoAgent ONE is an estimate, and we keep it labeled that way. In the United States these figures sit alongside the Real Estate Settlement Procedures Act (RESPA) and the TILA-RESPA Integrated Disclosure (TRID) rule overseen by the Consumer Financial Protection Bureau: an integration must never present a generated net sheet as a Loan Estimate or Closing Disclosure. Title-rate data is treated as jurisdiction-specific and, in states with promulgated or filed rates, sourced and cached with effective dates intact.

We also align with the 2024 NAR settlement practice changes by keeping buyer-agent compensation a separate, explicitly negotiated field. On data protection, we apply CCPA/CPRA and GDPR principles where they apply — lawful basis, data minimization, retention limits — and we work only from accounts and access the client is authorized to use. RESPA Section 8 anti-kickback rules are kept front of mind whenever referral or co-marketing data is in scope.

Controls we ship with every integration

• Consent records and per-call access logging
• Scope limiting by county/state license and sponsor
• Field-level redaction for client PII on export
• Configurable retention and right-to-delete handling
• "Estimate only" watermarking on exported PDFs and JSON metadata
• Secrets in a vault; tokens short-lived with refresh rotation

Deliverables checklist

• API specification (OpenAPI / Swagger) for net-sheet, buyer-estimate, title-rate, HomeLink and reports endpoints
• Protocol & auth-flow report (session, token refresh, sponsor scoping)
• Runnable source for the chosen endpoints in Python and/or Node.js
• Excel / PDF / JSON export utilities with "estimate only" labeling
• Webhook receiver sample for netsheet.created / netsheet.updated
• Automated tests, Postman collection and integration docs
• Compliance notes: RESPA/TRID framing, retention, consent logging

Engagement workflow

1. Scope confirmation — which data, which markets, which downstream system.
2. Protocol analysis & API design (2–5 business days, complexity-dependent).
3. Build and internal validation (3–8 business days).
4. Docs, samples and test cases (1–2 business days).
5. First delivery typically 5–15 business days; third-party approvals may extend it.

Engagement models

• Source-code delivery from $300 — runnable API source plus full documentation; pay after delivery upon satisfaction.
• Pay-per-call API billing — use our hosted endpoints and pay only for the calls you make, no upfront fee; suited to teams that prefer usage-based pricing.
• NDA on request; optional maintenance retainer for app-version changes.

PalmAgent-family editions

• FidelityAgent ONE — a sister PalmAgent edition branded for Fidelity-affiliated title operations; holds the same net-sheet and buyer-estimate data, so a single integration contract often covers both.
• TicorAgent ONE — the Ticor Title-branded PalmAgent app; same closing-cost engine and report structure, common where Ticor sponsors agents.
• PalmAgent ONE / YourAgent web — the generic edition and web companion; useful when an agent's data needs to be reachable from a browser as well as a phone.

Title-rate & closing-cost platforms

• CostsFirst (First American Title) — desktop and mobile closing-cost and net-sheet tool; holds title premiums and fee tables that teams often reconcile against AlamoAgent ONE figures.
• First American Comprehensive Calculator (FACC) — a web rate calculator for owner's/lender's policies and endorsements; a natural cross-check data source for title quote widgets.
• Old Republic Title Rate Calculator — underwriter-published rate calculator; relevant when an integration needs an independent title-premium reference.
• TitleCapture — multi-market closing-cost calculator and quote platform used by many title companies; users who also run TitleCapture commonly want one combined feed of quotes and net sheets.
• Qualia (Connect / Assure) — cloud title-and-escrow production and digital-closing software; the system of record a net sheet often flows into after the estimate stage.

Agent-side net-sheet & transaction tools

• RPR (Realtors Property Resource) — the NAR member platform with a built-in seller's net sheet; agents who use RPR for market data sometimes want its net-sheet output merged with AlamoAgent ONE's locale-specific fees.
• Dotloop — transaction-management software with a free seller's estimate net sheet and offer comparison; a frequent destination for the saved-report data described above.
• LawyersAgent — a buyer/seller cost-sheet app in the same category that also leans on shareable educational content; relevant to the content-library side of the integration landscape.

About us

We are an independent studio focused on mobile app protocol analysis and OpenData / OpenFinance-style API integration. Our engineers have shipped work across payments, lending, title and escrow, real estate tech and cloud platforms, so we understand both the data model behind a tool like AlamoAgent ONE and the regulatory frame it lives in — RESPA, TRID, the NAR settlement and state title-rate rules.

• Protocol analysis, reverse engineering of authorized app sessions, and API design
• Custom Python / Node.js / Go clients, SDKs and test harnesses
• Data pipelines: ingestion, normalization, storage, export and webhooks
• Full path: scoping → protocol analysis → build → validation → compliance review
• Two engagement models — source-code delivery from $300, or pay-per-call hosted API

Contact

To request a quote or send us your target app and requirements (data types, markets, downstream system), open our contact page:

Contact page

Tell us whether you prefer source-code delivery or pay-per-call billing, and we will scope the AlamoAgent ONE integration accordingly.

What do you deliver, and what do you need from me to start an AlamoAgent ONE integration?

You give us the target app (AlamoAgent ONE, already provided), the data you want — for example seller net sheets, buyer estimates, title and recording fees, or HomeLink loan scenarios — and any sponsoring title account or login you already control. We deliver a documented API, a protocol and auth-flow report, and runnable Python or Node.js source for the endpoints you need.

Does AlamoAgent ONE have an official public API?

PalmAgent publishes the AlamoAgent ONE mobile app and a YourAgent web companion, and partners such as TitleTap integrate with the PalmAgent ONE platform, but there is no broadly documented public developer API. We work from authorized accounts and documented or observed app endpoints, and we never bypass authentication or licensing controls.

How long does delivery take and what does it cost?

A first API drop with documentation is typically 5 to 15 business days depending on scope; multi-state fee tables or webhook flows can take longer. Source-code delivery starts at 300 USD and is paid after delivery upon satisfaction; a pay-per-call hosted endpoint option is also available with no upfront fee.

How do you handle RESPA, TRID, and data privacy compliance?

Closing-cost estimates are framed as good-faith figures consistent with RESPA and the TILA-RESPA Integrated Disclosure rule, not as Loan Estimates or Closing Disclosures. We keep consent records and access logs, apply data minimization, honor CCPA and GDPR rights where they apply, and respect state-promulgated title insurance rate rules; NDAs are signed on request.