Price and Prospect on Live Market Data — Agents, Teams & Investors

Tera Bullion builds property analytics for real estate professionals: market comp dashboards, portfolio performance trackers, and neighborhood trend analysis powered by live MLS data. Pricing conversations run on current comps instead of last month's PDF, farm areas get chosen from trend data instead of habit, and portfolio decisions get a dashboard instead of a shoebox of spreadsheets.

ScaleLive comps, portfolio & neighborhood trends from MLS data

What is guessing the market actually costing you?

Every pricing conversation is a data contest, whether you treat it that way or not. The seller arrives with a number from a portal estimate. You arrive with the comps you had time to pull. And the actual market — what's moving on that street, at what price band, how fast, trending which direction — sits in the MLS, fully recorded, mostly unconsulted, because consulting it properly takes hours nobody has before every appointment.

The costs are specific. A listing priced on stale comps sits, then takes the price cut that a current trend line would have prevented. A farm area chosen by habit instead of turnover data produces mailers into a neighborhood that isn't moving. An investor client asks "how are my properties doing?" and gets a shrug dressed as an anecdote. In each case the data to answer well already existed — it just wasn't in front of the person deciding.

Why don't the obvious fixes work?

Portal estimates are built for consumers and calibrated for nobody's street in particular. Using them professionally puts you arguing against an algorithm in front of your own client — with no ability to explain where its number came from or why it's wrong.

Pulling comps by hand before each meeting works exactly as well as the hour you have for it. It's a snapshot assembled under time pressure, gone stale by the follow-up call, and redone from scratch for every appointment. The labor repeats; nothing compounds.

The MLS's canned market reports answer standard questions on a fixed schedule — a county-level PDF when the decision is about three blocks. Every agent in your market has the same report, which is precisely why it wins no listing appointments.

The common failure: each fix treats market intelligence as a document to fetch rather than a view to maintain. The market moves continuously; anything static is aging from the moment it's produced.

What do we actually build?

  • Live comp dashboards: active, pending, and sold comps for the areas you work — filterable by neighborhood, price band, and property type, current on every open.
  • Neighborhood trend analysis: pricing trajectories, days-on-market, inventory, and turnover by area — the data that picks farm areas and wins pricing debates.
  • Portfolio performance tracking for investors and teams holding property: valuation trends against the neighborhood, comparative performance across holdings, hold-versus-sell context.
  • Listing-appointment views built to be shown: the seller's street and comp set, live, on your screen — the authority position in the room.
  • Your data joined in where it matters: transaction history and pipeline layered on the market view, so "how are we doing against this market" has an answer.

What changes operationally?

Before: every market question triggers an hour of manual comp-pulling → pricing runs on snapshots and instinct → farm areas run on habit → investor reviews run on anecdote → and the agent with better data wins the listing.

After: the answer is already on the dashboard when the question arrives → pricing conversations open with the live trend of the seller's own street → prospecting targets the neighborhoods the data says are moving → and you're the agent with better data.

Who is this not for?

  • Agents working a handful of deals a year in one small area. If your market fits in your head and your volume is low, manual comp-pulling may honestly cover it. This pays off with volume, multiple areas, or held portfolios.
  • Markets or feeds without usable data access. The build reads from MLS access your license or brokerage provides. Where a feed is genuinely unavailable, options narrow — we check this first and tell you straight.
  • Anyone expecting the dashboard to close deals alone. Data wins the argument; the agent wins the client. This arms the appointment — it doesn't attend it.

If you compete for listings, advise investors, or work more than one neighborhood, this build turns the market's own record into your standing advantage — current every morning, and pointed at exactly the streets you work.

Buyer Questions

Asked Before Every Engagement

Where does the data come from?

Live MLS data through the access your license or brokerage already provides, unified with your own transaction and portfolio records where relevant. The dashboards read from current data on every open — not from a report someone exported last month.

How is this different from the market reports our MLS already provides?

MLS reports are static snapshots of standard questions. A dashboard is your questions, answered continuously: your farm areas tracked over time, your listings against their comp sets, your investors' neighborhoods trended. The difference shows in listing appointments — a live view of the seller's street beats a generic county PDF.

Can it track a portfolio, not just comps?

Yes — that's a core use. Investors and teams holding property get performance trackers: valuation trends against the neighborhood, comparative performance across holdings, and market context for hold-versus-sell conversations. The shoebox of per-property spreadsheets becomes one view.

Will this help me win listing appointments?

It's one of the most direct payoffs. Walking into a listing conversation with live comps, days-on-market trends, and the neighborhood's pricing trajectory — on your screen, current as of that morning — positions you as the data authority in the room. Sellers notice the difference.

Do I need to be technical to use it?

No. The dashboards are built to be read at a glance and filtered by clicking — neighborhood, price band, property type, timeframe. If you can use the MLS portal, this is easier.

How current is the data?

As current as your MLS feed allows — for practical purposes, the state of the market when you open the dashboard. The shift is from 'the report from three weeks ago' to 'the market as of this morning,' which is exactly the gap where mispricing lives.

What does it cost?

Scoped to your data access, markets, and what you need to see — which is why we start with a free build plan rather than a rate card. Tell us how you answer market questions today and we'll map the build.

See What Guessing the Market Is Costing You

Tell us how this works in your operation today. We'll send back a build plan — no pitch deck, no fluff, just engineering.

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