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US Residential Listing Intelligence

Turn selected US locations and property criteria into structured rental, sale, sold, or pending listing records with pricing, property facts, market status, and source-linked history.

No access or payment before scope confirmation

Your input

Tell us what to run. We handle the operating structure.

You do not need to prepare technical configuration. Provide the business requirements, examples, and approved access; we translate them into fields, rules, and a tested schedule.

What you provide

  • Target US locations
  • Rental, sale, sold, or pending research purpose
  • Property types, price range, bedrooms, bathrooms, living area, lot size, days-on-market, and status criteria
  • Required property, source, photo, contact, and market fields
  • Expected listing volume and refresh frequency
  • Existing property list, exclusions, or saved records
  • Delivery destination and human review owner

How you provide it

  • Market brief
  • Spreadsheet of ZIP codes, cities, counties, or states
  • Investment, acquisition, rental, relocation, or market criteria
  • Existing property or suppression list
  • Example underwriting, market, or CRM schema
  • Written source, licensing, attribution, retention, fair-housing, and review rules

The result

What this workflow delivers.

A repeatable property research feed for agents, investors, property managers, acquisition teams, and market analysts that makes listings easier to compare, monitor, qualify, and route into approved real-estate workflows.

Best for: US real-estate investors, brokers, agencies, property managers, acquisition teams, relocation teams, researchers, and market analysts.

Sources

  • Customer-approved US cities, ZIP codes, states, counties, or addresses
  • Selected listing purpose: for sale, for rent, sold, or pending
  • Permitted property and listing sources
  • Customer-defined price, bedrooms, size, property type, status, and time-window criteria

Output fields

  • Listing URL and MLS or source identifier when available
  • Street, unit, city, state, ZIP, county, and location context
  • Latitude and longitude when permitted
  • Property type, style, beds, full and half baths, living area, lot size, acreage, stories, garage, and year built when available
  • List price, price range, price per square foot, last sold price and date, HOA fee, and days on market when available
  • Listing status, list date, description, photo references, and public agent or broker fields when permitted
  • Source timestamp, availability state, deduplication key, and review status
  • Structured records for AI research, investment analysis, CRM, alerts, and managed-service handoff

Delivery options

  • CSV
  • JSON
  • Excel
  • Google Sheets
  • Airtable or property review table
  • Database or warehouse delivery
  • Scoped API or webhook
  • Market-change alerts

Operating scope

  • Agreed US locations, property purpose, property and listing types, price and size ranges, result volume, freshness, source scope, and retention
  • Daily, weekly, or monthly market refresh
  • Approved and licensed sources

AI-ready delivery

Structured data your team and agents can rely on.

Receive normalized records directly or let an approved agent retrieve them through a scoped interface. Source evidence, transformations, timestamps, and exception states remain available for review.

Explore managed services for outreach and follow-up

Use it directly

  • CSV and JSON exports
  • Airtable or spreadsheet delivery
  • Database and warehouse-ready records
  • Customer-controlled backups

Connect approved agents

  • Scoped API or webhook access
  • Filter and retrieve defined records
  • Summarize, compare, classify, and cite
  • Route exceptions to a human owner

Keep control

  • Customer-owned resulting dataset
  • Raw and normalized values remain distinct
  • Model, API, hosting, and storage costs are scoped
  • No autonomous consequential authority

Configurable service

One workflow, configured around the decisions your team owns.

The modules describe business capabilities, not separate tools to operate. Select the coverage, filters, review rules, schedule, and destination during setup.

Available modules

  • US market setup - define locations, listing purpose, types, price, size, status, and freshness
  • Listing record normalization - structure identifiers, addresses, prices, property facts, descriptions, and source URLs
  • Market-change tracking - preserve new, changed, reduced, pending, sold, and unavailable states
  • AI-ready property records - keep stable identity, source timestamps, missing states, and review decisions
  • Investment and acquisition research - compare listings using customer-defined criteria and visible evidence
  • Delivery and alerts - provide approved records to tables, databases, APIs, or change-monitoring workflows
  • Managed workflow connection - connect approved listings to enrichment, human qualification, follow-up, and negotiation preparation
  • Human decision handoff - require owners for offers, applications, tenant decisions, and financial commitments

Business questions supported

  • Which US listings match our location, price, size, property-type, and status criteria?
  • Which properties are new, changed, reduced, pending, sold, or unavailable?
  • Which fields does AI need to compare listings without confusing properties or inventing missing values?
  • What source and timestamp support each price, status, address, or market signal?
  • Which records need investor, acquisition, property-management, relocation, or legal review?
  • Which approved listings should move into alerts, CRM, enrichment, follow-up, or negotiation preparation?
  • What licensing, attribution, fair-housing, privacy, and human-approval rules apply?

Worked example

See what goes in and what comes back.

Examples show the delivery structure before setup. Names and values are illustrative, not client records or performance claims.

Example input

{
  "locations": ["Austin, TX", "San Francisco, CA"],
  "listing_purpose": "for_sale",
  "property_types": ["single_family", "condo_townhome"],
  "price_range": {"min": 300000, "max": 800000},
  "bedrooms": {"min": 3},
  "living_area_sqft_min": 1500,
  "result_limit": 500,
  "delivery": "Property review table"
}

Example delivery

Illustrative record
{
  "listing_url": "https://example.com/listing/synthetic-001",
  "source_listing_id": "synthetic-mls-001",
  "status": "for_sale",
  "price": 549000,
  "last_sold_price": 420000,
  "days_on_market": 14,
  "beds": 3,
  "full_baths": 2,
  "half_baths": 1,
  "living_area_sqft": 1996,
  "property_type": "single_family",
  "location": "Austin, TX",
  "source_checked_at": "2026-08-22T07:00:00Z",
  "review_state": "Needs human review",
  "example_status": "Synthetic example"
}

Installation path

From source approval to scheduled operation.

The first representative run is reviewed before the workflow becomes a recurring operation.

01

Define target locations, listing purpose, property types, price and size ranges, status filters, and required fields

02

Run a sample to review coverage, duplicates, grouped properties, source permissions, and field quality

03

Confirm the output schema, volume pricing, retention, destination, and review rules

04

Collect and normalize selected US listing records with visible source and timestamp context

05

Preserve new, changed, unavailable, pending, sold, and price-reduced states as explicit records

06

Deliver the agreed dataset for human investment, acquisition, property-management, relocation, or market review

07

Connect approved records to AI research, CRM, alerts, qualification, follow-up, or negotiation-preparation workflows

Managed history

Each run adds to a useful operating history.

Each market run is stored as a dated result set. Your team can compare listing price, status, availability, days on market, property details, source timestamps, changes, duplicates, exclusions, and review decisions without silently overwriting earlier observations.

Retention and portability

The $1,250 setup covers market-criteria discovery, source and permission review, field design, sample testing, output configuration, and launch preparation. Usage is $10 per 500 returned listings. Refreshes, storage, external source costs, photos, enrichment, alerts, and managed workflows are scoped separately. The resulting property research records belong to the customer. Aineed Data retains only the managed copy and history agreed for operation. Deletion, portability, attribution, and exit-export terms are defined during setup.

What the accumulated history can support

  • Monitor selected US rental, sale, sold, or pending markets without repeated manual searches
  • Compare properties by price, size, type, location, status, and time on market
  • Identify new listings, price changes, pending states, sold records, and market movement
  • Build property and territory lists for agents, investors, acquisition, and property-management teams
  • Give AI stable listing identity, location, source, timestamp, status, and missing-state fields for grounded comparison
  • Create investment, acquisition, relocation, property-management, and market briefs
  • Connect approved records to multiple managed workflows for enrichment, human qualification, alerts, follow-up, and negotiation preparation
  • Keep offers, applications, tenant decisions, and financial commitments with named human owners

Interpretation limits

History makes comparison possible, but it does not remove source limitations or turn signals into guaranteed business outcomes.

01

This is property research, not a guarantee that a listing is available, accurate, fairly priced, financeable, legally suitable, or a good investment

02

Coverage, freshness, address visibility, photos, contacts, estimates, and listing status vary by source, market, and collection method

03

Prices, rents, availability, days on market, and estimates can change after collection

04

Property groups or multiple-unit listings may require separate interpretation from individual units

05

Photos, descriptions, maps, reviews, and agent information may have separate rights and retention limits

06

Third-party property content cannot automatically be treated as a freely reusable permanent database

07

Usage is $10 per 500 returned listings; setup, refreshes, external costs, enrichment, and managed services are separate

08

AI summaries and property scores must be checked against current source records and professional advice

09

Customers remain responsible for licensing, fair-housing, privacy, advertising, source terms, financial, legal, and downstream-use requirements

Safeguards

Automation stays inside agreed boundaries.

Access, retention, exports, and operating controls are confirmed for this workflow before launch.

01

Use only approved, licensed, or otherwise permitted property sources and collection methods

02

Property photos, descriptions, reviews, agent details, maps, and contact fields require purpose-specific rights, attribution, retention, and downstream-use terms

03

No private-account access, credentials, cookies, session exports, or access-control bypassing

04

No autonomous offers, applications, purchases, tenant decisions, or financial commitments

05

AI may compare, summarize, classify, and flag; investment, tenant, offer, and legal decisions require human review

06

Public agent or broker information is not automatically permission for direct marketing

07

Customers remain responsible for fair-housing, privacy, licensing, source terms, advertising, and applicable-law requirements

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Request configuration

Configure US Residential Listing Intelligence.

Share the sources, rules, and destination. We’ll verify access and confirm the final setup and monthly operating scope.

Setup$1,250
Managed$10 per 500 listings
Normally liveConfirmed after sample

Workflow setup

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