DAISORO

F3.1 / Insurance Market Intelligence

Multi-Carrier Quote Matrix

Observable motor-insurance quote intelligence structured by carrier, channel, persona, vehicle, coverage level, premium, deductible, add-ons, quote outcome, and evidence.

secondary priority
Industry

Financial Services & Insurance

Family

Insurance Market Intelligence

Delivery

Scoped file delivery / Cloud/data-platform push

Schema preview

Multi-Carrier Quotes

sample structure
01Market and country
02Carrier, broker, aggregator, and direct channel
03Persona attributes and quote journey assumptions
04Vehicle identity, trim, powertrain, and value band
05Premium, deductible, cover type, add-ons, and quote outcome
06Quote timestamp, journey evidence, evidence URL/archive, and QA state

What it captures

  • Market and country
  • Carrier, broker, aggregator, and direct channel
  • Persona attributes and quote journey assumptions
  • Vehicle identity, trim, powertrain, and value band
  • Premium, deductible, cover type, add-ons, and quote outcome
  • Quote timestamp, journey evidence, evidence URL/archive, and QA state

Decision workflows supported

  • Competitive quote benchmarking
  • Pricing simulation
  • Market entry analysis
  • Channel comparison
  • Data/AI training inputs

Buyer roles

  • Motor underwriting teams
  • Pricing and actuarial teams
  • Product and distribution leaders
  • Claims and repair strategy teams
  • Data and AI teams

Delivery models

  • Scoped file delivery
  • Cloud/data-platform push
  • Schema/API integration scoping

Decision workflows supported

Pricing strategy

Monitor offer changes, bundle mechanics, channel variance, and competitor moves.

CVM / retention

Feed churn, retention, and portfolio-risk workflows with structured market signals.

Data & AI ingestion

Use stable IDs, schema fields, evidence references, and version states in AI pipelines.

Regulatory transparency

Review public terms, fair-use labels, evidence, and change history without overclaiming legal status.

Sample structure

Non-downloadable field preview

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This preview shows the record structure without presenting field examples as live data.

Market and countryidentifier / label
Carrier, broker, aggregator, and direct channelidentifier / label
Persona attributes and quote journey assumptionsstructured value
Vehicle identity, trim, powertrain, and value bandstructured value
Premium, deductible, cover type, add-ons, and quote outcomeevidence metadata
Quote timestamp, journey evidence, evidence URL/archive, and QA stateevidence metadata

Dataset scope

Refresh cadence

Cadence is not promised publicly and must be scoped with design partners.

Coverage

Commercial scope should be defined through design-partner or pilot conversations: country, carriers, channels, personas, vehicle list, evidence standard, refresh cadence, and delivery format.

Evidence depth

Source tier, Evidence URL or archive, Captured date, Screenshot or document reference where available, Version hash, QA/confidence state

EVIDENCE REFERENCES

Proof fields travel with the record.

Records are designed to preserve the source, capture state, and QA context needed for downstream review.

Source URLCapture timestampScreenshot referenceDocument referenceVersion hashQA state

VERSION HISTORY

Offer change trail.

1First seencapturevh_01a2
2Promo price addedprice deltavh_02b7
3Eligibility changedrule updatevh_03c4
4Allowance updatedbundle deltavh_04f9
5Offer retiredstatus changevh_05d1

Related datasets

Adjacent signals

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F3.0

Vehicle Evidence Layer

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Source-backed UAE vehicle intelligence for motor insurance: trim identity, ADAS/safety by trim, EV/battery and powertrain signals, GCC-vs-import confidence, and evidence records for every client-facing fact.

Use cases
Motor underwriting inputsPricing and risk-feature review
Key fields
Make, model family, generation, and model yearBody style, trim/grade, and option/package variant
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F3.2

Coverage & Exclusions Ontology

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Structured coverage, exclusions, sub-limits, deductibles, add-ons, policy wording evidence, and plain-English term normalization across motor products.

Use cases
Product designCoverage benchmarking
Key fields
Product, coverage type, and policy wording referenceExclusion, sub-limit, deductible, and add-on labels
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F3.3

Insurance Comparison Engine

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Comparison layer designed to turn quote, coverage, vehicle, and evidence records into value rankings, coverage gaps, segment positioning, and executive-ready market views.

Use cases
Executive market intelligenceProduct and pricing decisions
Key fields
Quote record referenceCoverage ontology reference
View dataset
F3.4

Aggregator vs Carrier Spread Index

Financial Services & InsuranceChannel Intelligence

Carrier-direct, aggregator, broker, and channel-specific spread monitoring across premiums, discounts, availability, coverage differences, quote journey friction, and evidence.

Use cases
Channel parity monitoringAggregator negotiation
Key fields
Carrier, aggregator, broker, and direct channelPremium, discount, availability, and coverage-difference indicators
View dataset

Next step

Request a sample or map this dataset to your workflow.

DAISORO can discuss market scope, evidence depth, delivery model, and sample structure for your workflow.

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