Financial analysts need to surface the news and documents that carry real insight about a universe of securities, without the noise of unrelated mentions. To make that possible, RavenPack has built and maintains a Knowledge Graph of more than 7 million companies worldwide, and identifies these entities in every piece of structured data it processes so you can pinpoint relevant content with precision. The first step in any financial workflow built on Bigdata is therefore to resolve your universe of securities into RavenPack IDs. Once you have those IDs, you can use them as filters across any of the Bigdata services to retrieve only the content that genuinely concerns the companies you care about.Documentation Index
Fetch the complete documentation index at: https://docs.bigdata.com/llms.txt
Use this file to discover all available pages before exploring further.
Resolving your universe
The recommended endpoint depends on the type of entity you want to resolve. Use the tabs below to find the right approach for each one.- Public companies or ETFs
- Private companies
The most reliable way to resolve public companies is through a market identifier: an ISIN, CUSIP, SEDOL, or listing (in
MIC:Ticker form). Bigdata exposes a dedicated get endpoint for each of these, and every endpoint accepts up to 500 identifiers in a single request, so even large universes can be resolved with very few API calls.| Identifier | Endpoint |
|---|---|
| ISIN | /v1/knowledge-graph/companies/isin |
| CUSIP | /v1/knowledge-graph/companies/cusip |
| SEDOL | /v1/knowledge-graph/companies/sedol |
Listing (MIC:Ticker) | /v1/knowledge-graph/companies/listing |
Try it yourself
How-to scripts: resolve company IDs
Ready-to-run scripts that resolve both public and private companies optimally, using multi-threading while respecting Bigdata rate limits.