Platform · Policy wording libraries

Policy Wording Data

The wording in force today may not be the one a policy sold last year is on. Every extracted term has to say which document it came from.

Policy wording data covers the document libraries where insurers publish their policy wordings, often including past versions. A wording applies to policies starting or renewing in a period, so every extracted term carries its document version, effective dates and page citation. Versions are archived, and differences between versions are recorded as changes. No quote is ever requested with invented details.

Extraction is only as good as its citations. A term that cannot be traced to a page cannot be relied on.

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wordings_sample.jsonl LIVE FEED

{"doc_version":"2026-07","effective_from":"2026-07-01","term_type":"exclusion","source_ref":"wording.pdf#p14 cl.4.2"} {"version_diff":"single item limit changed","from_version":"2025-11"} {"extraction_flag":"review","term_text":"kept verbatim"}

illustrative sample rows · globalwhich document, which page · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Policy wording libraries or its owners. Policy wording libraries and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Policy wording libraries at a glance

How we handle Policy wording libraries specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Source: Insurers' wording libraries
Versions: Archived, with effective dates
Every term: doc_version, page, clause
Changes: Recorded between versions
Verbatim: Definitions and exclusions kept as text
Structured: Limits, excesses, periods extracted with citations
Missing documents: Recorded, not filled
Refresh: Library checked weekly; new versions archived

Platform specifics

Which document, which page

These are the reasons a Policy wording libraries dataset needs its own handling rather than a shared retail schema.

Versions and periods

Insurers revise wordings and usually state which policies each version applies to — for example, those starting or renewing after a date. Libraries often keep older versions available for existing customers.

doc_id, doc_version, effective_from and effective_to as stated, with the document archived.
Every extracted term carries source_ref: document, page and clause.
Definitions and exclusions are kept verbatim as well as structured.
version_diff lists terms added, removed or changed between consecutive versions.

Structured fields, and what we do not do

Structured fields

Limits, excesses, periods and conditions are extracted into fields, each with its citation. Where extraction is uncertain, the field is flagged for review and the text kept.

Where wordings are used

Every product-line page in this hub relies on these, from home to cyber.

What we do not do

Extract a term without a citation, fill a missing document from another version, give coverage opinions, or collect policyholder data.

Scope

What we collect on Policy wording libraries, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

doc_id, doc_version and effective dates on every term
source_ref: document, page, clause
Documents archived per version
Definitions and exclusions verbatim
Structured limits, excesses and periods with citations
version_diff between consecutive versions
Uncertain extractions flagged, text kept
Missing documents recorded
Weekly library checks

❌ What we do not, and why

Terms extracted without citations
Missing documents filled from other versions
Coverage opinions
Paraphrase stored in place of definitions
Policyholder data

Core Policy wording libraries fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
insurer / product	As published
doc_id / doc_version	As published
effective_from / effective_to	As stated
term_type	limit, excess, exclusion, definition, condition
term_value / term_text	Structured and verbatim
source_ref	Document, page, clause
extraction_flag	Where uncertain
version_diff	Added, removed, changed
archive_ref	Stored document
library_url	Source
observed_at	Timestamp

Use cases

What teams do with Policy wording libraries data

Wording comparison

Terms side by side, each traceable to a page.

Change monitoring

What changed between versions, and when.

Product governance support

A cited record of terms across a portfolio.

Research datasets

Structured terms across insurers and lines.

The 24-hour sample — run on your sources, not ours

Send us a Policy wording libraries item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Policy wording libraries is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Policy wording libraries data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what insurance data covers, and a Policy wording libraries-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Policy wording libraries data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Because a wording applies to policies starting or renewing in a period. A term without its period can describe the wrong policy.

Yes, archived, with differences between versions recorded.

The field is flagged and the text kept, so it can be reviewed.

No. They are kept verbatim as well as structured.

No.

It depends on insurers, documents and refresh.

Talk to us.

See real Policy wording libraries data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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