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Capital markets

Search company filings
by issuer.

Find reported figures, relevant passages and verified entity relationships. Keep each result tied to its filing, reporting period and original disclosure.

Issuer research
An issuer building connects to subsidiary entities and a filing with a highlighted reported figure.

Connect an issuer’s filing to the entities it describes.

Illustrative use case

01 / Use case guide

10 practical use cases.

Compare the data models behind everyday industry tasks, from finding records to following connections.

Suggested model combination

Scroll across to compare all four models
Capital markets: 10 use cases, suggested query models and industry references.
Use case How the data models help SQL Vector Graph Full-text Source
Reported financial fact comparison Compare issuer disclosures without mixing reporting periods, units or amendments. Use SQL to select facts by issuer, period and unit, and Full-text to retrieve the corresponding filing passages for verification. SQL included Vector not needed for this example Graph not needed for this example Full-text included
Financing disclosure research Find passages explaining an issuer's liquidity, financing needs and uncertainties. Use SQL to scope issuer filings, Vector to retrieve related financing discussions, and Full-text to locate named facilities and exact terms. SQL included Vector included Graph not needed for this example Full-text included
Corporate action evidence review Connect an event announcement with its recorded entitlements and instructions. Use SQL to select event dates and statuses, Graph to trace event–security–instruction links, and Full-text to retrieve announcement terms. SQL included Vector not needed for this example Graph included Full-text included
Trade allocation exception review Investigate mismatches between an institutional trade block and its allocations. Use SQL to compare recorded quantities and matching statuses, and Graph to trace allocations back to their trade block and counterparties. SQL included Vector not needed for this example Graph included Full-text not needed for this example
Settlement exception investigation Assemble trade status and correspondence across custodians when settlement breaks. Use SQL to select unsettled items, Graph to trace the custody chain, and Full-text to retrieve relevant exception messages. SQL included Vector not needed for this example Graph included Full-text included
Settlement instruction change review Identify trades affected by an amended or incomplete standing settlement instruction. Use SQL to select instruction versions and pending trades, and Graph to trace the account, custodian and instruction dependencies. SQL included Vector not needed for this example Graph included Full-text not needed for this example
Collateral agreement term review Find agreement terms behind a disagreement over a margin call. Use SQL to retrieve the recorded call inputs and agreement version, and Full-text to locate threshold, currency and transfer-amount clauses. SQL included Vector not needed for this example Graph not needed for this example Full-text included
Margin dispute investigation support Investigate missing trades, valuation differences and collateral discrepancies in a disputed call. Use SQL to compare supplied positions and balances, Graph to trace trade–agreement links, and Vector to retrieve similar resolved dispute notes. SQL included Vector included Graph included Full-text not needed for this example
Trade report correction tracing Recover the original report and correction history before operations amend a TRACE submission. Use SQL to select report dates and statuses, Graph to trace correction lineage, and Full-text to locate exact control numbers in supporting messages. SQL included Vector not needed for this example Graph included Full-text included

Use the query interfaces you need, then connect their results through shared record IDs in your application.

Industry sources 9

These sources describe real industry workflows. The model combinations above are proposed OriginChainDB designs, not customer deployment claims.

  1. U.S. Securities and Exchange Commission — EDGAR Application Programming Interfaces (opens in a new tab)
  2. U.S. Securities and Exchange Commission — How to Read a 10-K/10-Q (opens in a new tab)
  3. Global Legal Entity Identifier Foundation — Level 2 Data: Who Owns Whom (opens in a new tab)
  4. DTCC — Corporate Actions Technical Documentation Hub (opens in a new tab)
  5. DTCC — Trade Allocation and Matching: CTM (opens in a new tab)
  6. DTCC — An Asset Manager's Approach to Managing Trade Exceptions (opens in a new tab)
  7. DTCC — Standing Settlement Instruction Management: ALERT (opens in a new tab)
  8. International Swaps and Derivatives Association — Collateral Management Suggested Operational Practices (opens in a new tab)
  9. FINRA — TRAQS Corporate Bonds and Agency Debt User Guide (opens in a new tab)

02 / A closer look

Reviewing a new financing disclosure

A company files an update about a financing arrangement. An analyst needs the latest disclosed figures, relevant debt wording and the entities involved, while keeping amendments and reporting periods separate.

What makes it difficult

  1. 01

    Company names, tickers and legal entities are not interchangeable.

  2. 02

    A reported figure may use a different unit or period.

  3. 03

    A current filing can amend or add context to an earlier one.

Suggested approach

Resolve the issuer before comparing filings

Match the legal entity and preserve each figure’s unit and reporting period. Search related disclosures and show amendments or conflicting values for the analyst to review.

03 / Queries

What each data model does

Select a model to see the question it answers.

SQL · Find the facts

The question

Which disclosed facts belong to this issuer and quarter?

Filter filings and reported facts by issuer, period and unit.

Explore SQL
Vector · Match the meaning

The question

Which disclosures discuss pressure on refinancing?

Retrieve passages describing similar financial themes.

Explore Vector
Graph · Follow the connections

The question

Which disclosed entities are connected to this issuer?

Follow verified issuer, subsidiary and parent relationships.

Explore Graph
Full-text · Find the exact wording

The question

Where is this credit agreement referenced?

Locate exact facility names, instruments and filing terms.

Explore Full-text

Use shared record IDs to combine results from the different query interfaces in your application.

04 / Implementation

How to build it

  1. STEP 01

    Choose issuers and questions

    Use public or licensed filings for a defined issuer set. Have analysts mark the relevant passages and figures.

  2. STEP 02

    Preserve filing identifiers

    Map CIK and LEI identifiers with reviewed rules. Keep accession numbers, periods, units, amendments and source URLs. Maintain explicit entity links and search indexes.

  3. STEP 03

    Build the research view

    Retrieve facts for the issuer and period, search disclosures and follow verified relationships. Display conflicting values and unresolved entity matches.

  4. STEP 04

    Replay filing events

    Test amendments and company-name changes against original disclosures. Monitor source updates and have analysts review the pilot results.

05 / Testing

What to measure

Compare these results with your current process before rollout.

Entity resolution quality

Count incorrect and unresolved issuer or parent matches in a reviewed test set.

Fact traceability

Verify that each figure retains its source filing, unit and reporting period.

Disclosure freshness

Measure source-to-index delay and the handling of amendments or replaced documents.

06 / Sources

Examples from the industry

Published projects and reference material relevant to this use case.

Industry example Updated 8 April 2025

U.S. Securities and Exchange Commission

Public filings and structured financial facts

The SEC exposes filing histories and extracted XBRL financial data through EDGAR APIs, including company identifiers, filing metadata and facts with measurement context.

Read the source
Industry context Accessed 3 November 2026

GLEIF

Verified legal-entity parent relationships

GLEIF’s Level 2 data reports direct and ultimate accounting-consolidating parent relationships, with links between LEI records where those identifiers are available.

Read the source

These are industry references, not OriginChainDB customer stories. The implementation above is a proposed example.

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