# What Oklahoma ask for in auto insurance: the demand dataset

Every request a person or an AI assistant makes to Oklahoma 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.

**19 records** (19 in 30 days) · 0 consented · 0 verified phones · 6 withdrew · 84% asked by an AI agent.

## Free sample (latest)

| t | state | zip3 | age_band | make_model | coverage | quoted | price_low | basis | door | vendor | consented | verified |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2026-09-03T07:00:00Z | NV | 891 | 35-39 | toyota rav4 | standard | 21 | 161 |  | mcp | anthropic | false | false |
| 2026-09-03T07:00:00Z | TX | 752 | 35-39 | toyota rav4 | standard | 29 | 48 |  | mcp | anthropic | false | false |
| 2026-09-03T07:00:00Z | CA | 900 | 35-39 | toyota rav4 | standard | 0 |  |  | mcp | anthropic | false | false |
| 2026-09-03T05:00:00Z | TX | 752 | 35-39 | toyota rav4 | standard | 29 | 48 |  | form |  | false | false |
| 2026-09-03T05:00:00Z | TX | 752 | 30-34 | toyota rav4 | standard | 29 | 48 |  | mcp | anthropic | false | false |
| 2026-09-03T05:00:00Z | CA | 900 | 30-34 | toyota rav4 | standard | 0 |  |  | mcp | anthropic | false | false |
| 2026-09-03T05:00:00Z | NV | 891 | 30-34 | toyota rav4 | standard | 0 |  |  | mcp | anthropic | false | false |
| 2026-09-03T05:00:00Z | NY | 100 | 30-34 | toyota rav4 | standard | 0 |  |  | mcp | anthropic | false | false |
| 2026-09-03T03:00:00Z | NV | 891 | 35-39 | toyota camry | standard | 0 |  |  | mcp | anthropic | false | false |
| 2026-09-03T02:00:00Z | TX | 752 | 30-34 | toyota rav4 | standard | 29 | 48 |  | mcp | anthropic | false | false |

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

## Price

$0.02 per record, minimum $5 per pull. Buy: GET https://oklahomaautoquotes.com/v1/dataset?state=OK&limit=1000 with X-Buyer-Key (prepaid; register at https://oklahomaautoquotes.com/join) or X-PAYMENT (x402) / Authorization: Payment (MPP) / Payment-Mandate (AP2). MCP tool: `market_data`.

## 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.