Net sheets and buyer estimates sit behind AlamoAgent ONE's agent login

Open AlamoAgent ONE and it asks for an email and a password before it does anything useful. Every seller net sheet and buyer estimate produced after that is bound to that account, and PalmAgent's recent releases specifically called out faster, better-organized saved estimates, per the app's store listing. So the real integration question is not about a phone. It is about reaching one agent's account-bound history and the sponsor-configured fee data sitting behind it.

The bottom line: this is a portal-data problem, not a public-feed problem. The valuable records — what an agent saved for a specific listing or buyer, and the jurisdiction fee logic that produced those numbers — move between the app and PalmAgent's backend over an authenticated session. We analyze that session under the agent's authorization and rebuild the relevant calls as a clean interface. Native shareable output exists as a fallback for the document itself.

Where the data lives inside the agent account

AlamoAgent ONE is narrow on purpose, which makes the surface easy to enumerate. These are the domains worth wiring, named the way the app presents them.

Getting to the saved estimates

Authorized protocol analysis of the account and sync traffic

This is the spine. With a consenting agent's login, we observe how the app authenticates, how it requests the sponsor fee configuration, and how it reads and writes saved estimates. From that we rebuild the login, session-refresh and saved-estimate calls as a documented interface. Reach is the whole account history, not a single device. Effort is moderate; durability is good as long as we keep a watch on the parts that PalmAgent revises (the compensation block has already changed once).

Agent-consented credential operation

Where you do not want to run the protocol layer yourself, we operate the sync on the agent's behalf using their own AlamoAgent ONE credentials, and hand back normalized records. Same reach, less moving infrastructure on your side, slightly more coordination on session lifetime.

Native shareable export

The app already produces a branded, shareable net sheet and buyer estimate for the client. That document is a reliable fallback for the rendered output, but it does not carry the structured line items, so it is a supplement to the first route rather than a replacement.

If it were our build, the protocol route carries it and the credential-operated mode is the option for teams that would rather not host the integration. The export path stays in reserve for the formatted document. We make that call concretely once we have seen the specific sponsor build.

A look at the request path

Illustrative, and pinned to exact field names during the build against the AlamoAgent build:

# 1. Authenticate the consenting agent (email + password account)
POST /api/v2/session
  { "email": "agent@brokerage.com", "password": "•••", "build": "alamoagent" }
-> 200 { "token": "…", "expires_in": 3600, "agent_id": "A-90233",
         "sponsor": { "id": "alamo", "fee_set": "tx-bexar" } }

# 2. Resolve the sponsor-configured jurisdiction fee logic
GET /api/v2/feeset/tx-bexar           Authorization: Bearer 
-> 200 { "recording": {...}, "transfer_tax": {...}, "title_premium": {...} }

# 3. List the agent's saved net sheets / buyer estimates
GET /api/v2/estimates?type=seller_net&limit=50
-> 200 { "items": [
     { "id":"E-5512", "kind":"seller_net", "address":"…",
       "sale_price":425000, "loan_payoff":268900, "commission":{...},
       "title_escrow":3140.50, "seller_proceeds":131120.18,
       "updated_at":"2026-05-12T14:08:00Z" } ] }

# Error handling worth wiring early:
#  401 -> session rotated; re-auth, do not loop
#  409 -> sponsor fee_set changed under the agent; re-pull /feeset

The two failure modes that actually bite are the rotating session and a sponsor fee-set change landing mid-sync, so both get explicit handling rather than a blanket retry.

What lands at the end of the build

Concrete artifacts, each tied to a surface above:

• An OpenAPI specification covering the auth/session calls, the sponsor fee-set lookup, and the saved-estimate read endpoints.
• A protocol and auth-flow report: the email/password session, token lifetime, refresh behavior, and the sponsor-resolution step that makes AlamoAgent's numbers differ from a generic PalmAgent build.
• Runnable source for the key endpoints in Python and Node.js — log in, resolve the fee set, list and normalize saved seller net sheets and buyer estimates.
• Automated tests, including the 401 re-auth path and the 409 fee-set-changed path.
• Interface documentation plus data-retention guidance for the account and net-sheet fields you keep.

RESPA, TRID and the privacy line for net-sheet data

One distinction matters here and the page states it plainly: a net sheet or buyer estimate in AlamoAgent ONE is a pre-contract working estimate, not the regulated Loan Estimate or Closing Disclosure. Those are lender and settlement-agent documents under RESPA (Regulation X) and the TILA-RESPA Integrated Disclosure rule administered by the CFPB. An integration that moves these figures into a CRM should keep that framing intact and not present an estimate as a settlement figure. The buyer-agent compensation block reflects the post-NAR-settlement format, so any pipeline that surfaces commission numbers has to track that schema rather than an older layout.

Account data is the other half. PalmAgent's privacy policy describes collecting name, email, device identifiers, OS, phone number and location, with payment handled by Stripe, Authorize.net, and the app stores, and analytics through Flurry, Google Analytics, Kissmetrics and Mixpanel; it shares personal data with allied partners such as a lender or attorney only when the user asks to be connected. That governs how we scope a build: agent-consented and authorized, access logged with consent records, data minimized to the net-sheet and estimate fields the integration needs, payment-card data left with the processors, and an NDA where the sponsor configuration is in play. US state data-protection law applies to the account records on the integrator's side once they leave the app.

What we plan around on a PalmAgent white-label build

Three things we account for so they do not surprise anyone later:

• Sponsor resolution. AlamoAgent ONE is one branded build among several PalmAgent siblings. The fee schedules and title-rate logic are picked by the sponsor profile on the backend, so we map that specific build and verify a sample net sheet ties out to the app before the interface is treated as done — not the generic PalmAgent default.
• Session lifetime. The account is email/password with a server session that rotates. We design the saved-estimate sync around that token window so a long pull does not silently die halfway, and re-auth is a deliberate step, not a retry storm.
• Compensation-format drift. The buyer-agent compensation block changed format after the NAR settlement and can change again. We add a schema check that flags a new compensation layout instead of passing a stale one through, and we label HomeLink holding-cost figures as model output so an estimate is never mistaken for a booked cost.

Access to a consenting agent account or a sponsor sandbox is arranged with you during onboarding; the build runs against whichever is appropriate for the AlamoAgent configuration.

Where integrators take this

• A title company running an AlamoAgent-branded build mirrors every net sheet its agents save into its closing CRM, per consenting agent.
• A brokerage routes in-app buyer estimates into its lead-nurture system so the numbers a prospect sees match the agent's.
• A proptech analytics product reuses the county fee and title-rate logic so its own quotes line up with what agents see in the app.
• A lender partner surfaces HomeLink holding-cost estimates next to its rate quotes, carried through labeled as estimates.

Screens from AlamoAgent ONE

Store screenshots, useful for confirming which surfaces a build needs to cover. Select to enlarge.

How this brief was put together

The app's own description and store listing set the surface; PalmAgent's published privacy policy gave the account and data-handling specifics; a third-party catalog of net-sheet and title-rate calculators confirmed the white-label/sponsor model and the same-category tools; and the CFPB's TILA-RESPA material anchored the regulatory framing for closing-cost outputs. Citations:

• PalmAgent privacy policy
• PalmAgent — title / sponsor program
• Catalog of net-sheet / title-rate calculators
• CFPB — TILA-RESPA Integrated Disclosures

Researched and written at the OpenBanking Studio integration desk, May 2026.

Other tools in the net-sheet and title-quote space

Same category, useful context for anyone planning one normalized layer across more than one of them:

• PalmAgent ONE — the parent platform AlamoAgent ONE is branded from; same account model and saved-estimate sync.
• TitleCapture — title-quote platform with seller net sheets and buyer estimates, agent accounts, web and mobile.
• Net Sheet Calc by TitleTap — seller net sheet, buyer finance, buyer cash and refinance calculators, branded per company.
• Qualia Connect — closing platform that brings agents, clients, title agents and lenders into one shared app, with title quotes and net sheets.
• PRISM by First American — seller net sheets, buyer estimates and refinance quotes pushed to customers, tied to First American agent status.
• Elko — a title-quoting platform used by title companies for net sheets and rate quotes.
• Old Republic Title rate calculator — title-premium quotes and endorsement lookups by jurisdiction.
• Stewart Title rate calculator — title and escrow estimates with buyer and seller net sheets.
• CTOAgent ONE and FidelityAgent ONE — other sponsor-branded builds of the same PalmAgent platform.

Questions we get about AlamoAgent ONE

Does AlamoAgent ONE keep net sheets on the phone or on PalmAgent's servers?

The app gates on an email and password account, and PalmAgent's recent releases call out faster, better-organized saved estimates. That means a consenting agent's net-sheet and buyer-estimate history is bound to the account and reachable from it, not stranded on one handset.

AlamoAgent ONE is a branded build — does that change the work versus plain PalmAgent ONE?

Yes. AlamoAgent is one sponsor-branded build of the PalmAgent ONE platform, and the county/city fee schedules and title-rate logic are configured per sponsor on the backend. We map that specific build so the numbers an integration returns match what the agent sees in AlamoAgent ONE, rather than a generic PalmAgent default.

Can the buyer-agent compensation figures be trusted after the NAR settlement changes?

PalmAgent reworked the buyer-agent compensation block format following the NAR commission settlement. We pin the integration to the current compensation schema and add a check that flags when PalmAgent ships another format change, so a stale layout does not pass through silently.

Are the HomeLink Intelligence holding-cost numbers actual costs?

No. HomeLink figures are model output derived from public records and PalmAgent's own models, as the app describes them. We carry them through labeled as estimates so a downstream system never treats a projected monthly holding cost as a booked settlement number.

Getting this built

What you end up holding is a running interface against a consenting agent's AlamoAgent ONE account: login, the sponsor fee-set lookup, and normalized seller net sheets and buyer estimates, with tests and documentation. Source-code delivery starts at $300 and is billed only after delivery, once you have confirmed it works on your side. The other model is a hosted API you call and pay per call, with nothing upfront. Typical delivery is one to two weeks once we have the AlamoAgent build in front of us. Tell us the app and what you need from its data, and access and compliance are arranged with you from there — start at /contact.html.