What is finance and legal data scraping?
It is the managed collection and structuring of eligible financial, company, market, court, regulatory, legal, news, and alternative web records with source and observation context.
What financial information can Kvetoiq collect?
Potential fields include company identity, filings, financial facts, reporting periods, market observations, company events, news, public product data, regulatory records, and alternative web signals.
Can Kvetoiq extract SEC filing data?
Yes. Projects can use eligible SEC filings, official EDGAR APIs, and bulk data to structure filing metadata, documents, exhibits, narrative sections, and XBRL facts.
Can financial statements be converted into structured records?
Yes. Extracted facts can retain concept, value, unit, period, fiscal context, filing, accession number, original source, and normalized mapping.
Can amended filings and restatements be tracked?
Yes. Original and amended records can remain separate while changes, superseded values, validation results, and current status are retained.
Can earnings and company events be monitored?
Eligible sources can be monitored for earnings releases, guidance, leadership changes, financing, M&A, products, and other defined public events.
Can market prices and reference data be collected?
Eligible displayed values may be collected with source, venue, currency, unit, timestamp, delay, and access context. Requirements depend on licensing and source conditions.
Do you provide licensed real-time exchange feeds?
Kvetoiq does not imply exchange-grade or real-time licensing by default. Licensed feed requirements must be scoped with an authorized data provider and applicable agreements.
Can financial news and sentiment be analyzed?
Eligible news can be structured by publisher, time, entity, event, and source link. Sentiment and summaries are labeled as derived outputs and can include validation rules.
Can alternative data be collected for investment research?
Potential public signals include hiring, locations, products, pricing, reviews, website changes, and company activity. Sources, methodology, limitations, and intended use should be documented.
Can court docket information be collected?
Eligible public information can include court, case number, title, parties, dates, docket entries, filing descriptions, documents, and status. Access conditions and fees vary.
Can legal documents be converted into structured data?
Eligible documents can be structured into headings, parties, dates, citations, authorities, amounts, document types, and source-linked passages under agreed review rules.
Can cases, parties, attorneys, and judges be linked?
Yes, when information is publicly available and appropriate for the intended use. Original names, normalized identities, roles, sources, and matching evidence can be retained.
Can regulatory and enforcement changes be monitored?
Yes. Potential records include authority, document ID, rule, notice, action, publication date, effective date, deadline, entity, penalty, correction, and current status.
Can sanctions and watchlist records be monitored?
Official public lists can be monitored with authority, program, entity, identifier, publication date, change event, and status context. Screening decisions require separate governance.
How are facts separated from AI-generated outputs?
Source facts, normalized facts, calculated fields, AI classifications, summaries, and human-reviewed outputs receive distinct types, lineage, methodology, and status labels.
How is source provenance retained?
Records can include publisher, authority, source URL or identifier, document, version, section, access time, original value, normalized value, extraction method, and validation status.
Can finance and legal data be delivered through an API?
Yes. Delivery options may include API, webhook, CSV, Excel, JSON, JSONL, Parquet, delta feeds, cloud storage, databases, warehouses, and custom integrations.
How frequently can records be refreshed?
Cadence depends on official update schedules, source behavior, record volume, licensing, access conditions, requested fields, validation, intended use, and responsible request controls.
How is finance and legal data validated?
Validation may cover authority, entity, record ID, version, period, units, currency, values, dates, duplicates, lineage, derived labels, expected fields, anomalies, and source changes.
Can we review a representative sample?
In many cases, representative filings, records, documents, entities, and change scenarios can confirm the schema, lineage, validation rules, review status, and delivery format.
Is finance and legal data scraping lawful?
There is no universal answer. Requirements vary by jurisdiction, source, access method, contract, privacy context, licensing, record restrictions, and intended use. Qualified counsel should review project-specific questions.
How does Kvetoiq approach restricted or licensed sources?
Kvetoiq assesses authorization, authentication, licensing, terms, fees, technical controls, and intended use before designing access. Restricted or unavailable content is not treated as public.
Does Kvetoiq provide legal or investment advice?
No. Kvetoiq provides data engineering and structured data services. Customers remain responsible for professional legal, compliance, investment, credit, and regulatory decisions.