Nevada Insurance › Data

What Nevada ask for in auto insurance: the demand dataset

Every request a person or an AI assistant makes to Nevada Insurance becomes one record, the moment it is made: what they drive, where (to the ZIP3), what coverage they want, what the state's published rates showed them, which door they came through and which AI asked, and what happened next: whether they asked to be contacted, proved their phone, how many agencies received them, whether they withdrew. No name, phone, email, date of birth or five-digit ZIP, ever. It is the shopping-intent signal carriers, marketplaces and rate consultants pay enterprise prices for, observed first-hand and in real time, including the part nobody else has: what AI agents ask for on behalf of their humans.

What is in it, right now

38 records since 2026-09-02, 38 in the last 30 days · 3 asked to be contacted · 0 proved a phone · 10 withdrew · 42% asked by an AI agent.

By state: TX 13 · NV 12 · CA 4 · NY 3 · FL 2 · GA 2 · OK 2
By door: mcp 37 · form 1
By AI vendor: unknown 22 · anthropic 15 · openai 1
By basis: unknown 29 · state-published sample rate 7 · filed sample rate 2

The free sample: the last 20 records

tstatezip3age_bandmake_modelvehicle_yearcoveragemileage_bandviolationsquotedprice_lowprice_medianbasisdoorvendorconsentedverifieddeliveredwithdrawn
2026-09-04T21:00:00ZOK73130-34toyota camry2019standard00mcpnono0no
2026-09-04T21:00:00ZGA30330-34toyota camry2019standard00mcpnono0no
2026-09-04T21:00:00ZNY11230-34toyota camry2019standard00mcpnono0no
2026-09-04T21:00:00ZFL33130-34toyota camry2019standard00mcpnono0no
2026-09-04T20:00:00ZCA90030-34toyota camry2019standard00mcpnono0no
2026-09-04T20:00:00ZNV89130-34toyota camry2019standard021$161$331state-published sample ratemcpnono0no
2026-09-04T20:00:00ZTX77030-34toyota camry2019standard029$49$111filed sample ratemcpnono0no
2026-09-04T20:00:00ZNV89035-39honda accord2021standard21$145$240state-published sample ratemcpyesno0yes
2026-09-04T20:00:00ZNV89035-39honda accord2021standard21$145$240state-published sample ratemcpyesno0yes
2026-09-04T20:00:00ZNV89130-34toyota camry2019standard21$161$331state-published sample ratemcpnono0yes
2026-09-04T20:00:00ZNV89130-34toyota camry2019standard21$161$331state-published sample ratemcpyesno0yes
2026-09-04T19:00:00ZOK73130-34toyota camry2019standard00mcpnono0no
2026-09-04T19:00:00ZGA30330-34toyota camry2019standard00mcpnono0no
2026-09-04T19:00:00ZNY11230-34toyota camry2019standard00mcpnono0no
2026-09-04T19:00:00ZFL33130-34toyota camry2019standard00mcpnono0no
2026-09-04T19:00:00ZCA90030-34toyota camry2019standard00mcpnono0no
2026-09-04T19:00:00ZNV89130-34toyota camry2019standard021$161$331state-published sample ratemcpnono0no
2026-09-04T19:00:00ZNV89130-34toyota camry2019standard021$161$331state-published sample ratemcpnono0no
2026-09-04T19:00:00ZTX75230-34toyota camry2019standard029$48$106filed sample ratemcpnono0no
2026-09-03T07:00:00ZNV89135-39toyota rav42021standard10-15k021$161mcpanthropicnono0no

JSON: https://nevadaautoquotes.com/data/sample.json · the schema and rollups: https://nevadaautoquotes.com/data.json

What it costs

$0.02 per record, minimum $5 per pull; the rollups, the schema and the sample are free. Pay with a prepaid buyer key (register, then buy credits by card on your status page) or at the door with x402, MPP or AP2 (open now: stripe-checkout).

curl -s "https://nevadaautoquotes.com/v1/dataset?state=NV&limit=1000" -H "X-Buyer-Key: k_…"
# MCP: market_data { "state": "NV", "limit": 1000, "buyer_key": "k_…" }   or payment / credential / mandate

Who buys it

The schema

id
one-way hash of the request; joins outcomes, never a person
t
the hour the request was made (UTC)
state
two-letter state
entity
the entity asked
domain
the domain asked
door
mcp | form | consent-link | voice | agency-page
requester
agent | ai-crawler | sdk | browser | probe | impostor
vendor
openai | anthropic | google | perplexity | …
confidence
cryptographic | ip-verified | declared | user-agent
zip3
first three digits of the garaging ZIP
age_band
driver age in five-year bands (16-20 … 80+)
vehicle_year
model year
make_model
make and model, lowercased
coverage
state minimum | standard | full
mileage_band
annual miles: <5k | 5-10k | 10-15k | 15-20k | 20k+
violations
in three years: 0 | 1 | 2+
prior_continuous
currently insured
years_licensed_band
<3 | 3-9 | 10+
licensed_here
whether the entity showed prices
quoted
insurers priced
price_low
lowest monthly price shown (USD)
price_median
median monthly price shown
price_high
highest monthly price shown
basis
filed sample rate | state-published sample rate | indicative
consented
the person asked to be contacted
scope
contact_consumer | sell_identity
verified
phone proven by one-time code
delivered
agencies that received the request
withdrawn
the person withdrew

Never in a record: full_name, phone_number, email_address, date_of_birth, garaging_zip, pool_id, street_address, lead_id, household_drivers, ip, ua.

Is there personal information in it?

No. Age is a five-year band, the ZIP is three digits, the vehicle is a make and model, and the timestamp is the hour. The record id is a one-way hash. People who asked to be contacted are sold as leads only under their own consent, on a different rail, never through this dataset.

How fresh is it?

A record exists within a second of the request. Outcomes (consent, verification, delivery, withdrawal) fold in as they happen. The free sample is the last twenty records.

What does it cost?

Per record, with a minimum per pull; the catalog states both. Pay with a prepaid buyer key, or at the door with x402, MPP or AP2. The rollups, the schema and the sample are free.

What is unique about it?

It is observed at the moment of shopping, not modelled afterwards, and it records which AI assistant asked. Nobody publishes the AI-agent share of insurance demand. It also carries what the state's published rates showed at that moment, so price and intent sit in the same row.