A top-10 US bank and a global credit-ratings group
Joined Import.io through its 2019 acquisition of Connotate.
Financial Services web data
Alternative data you can backtest. Captured as it happened, never restated.
Import.io collects point-in-time data from company sites, job pages, filings, registries, sanctions lists and pricing sources. Investment, lending and risk teams receive timestamped, entity-mapped records through an API or managed feed.
38signals in the panel
2,410entities mapped to securities
0restated values
09:30ET delivery, daily
| Signal | Entity | Ticker | Value | Δ WoW | As of (UTC) |
|---|---|---|---|---|---|
| Open job postings | Kestrel Logistics | KSTL | 1,284 | +8.2% | 09:30:04 |
| Active SKUs online | Halden Home | HLDN | 41,902 | +1.1% | 09:30:11 |
| Avg. discount depth | Northmoor Retail | NMRT | 18.4% | +3.1 pt | 09:30:19 |
| Store locator count | Brightwater Foods | BWTR | 612 | +4 | 09:30:22 |
| Hotel ADR, key metros | Harbor Hospitality | HRBR | $289 | −2.4% | 09:30:27 |
| 10-Q filed | Kestrel Logistics | KSTL | 38 tables parsed | new | 09:31:02 |
live events
PITevery value timestamped at capture and never overwritten
212pages and 38 tables parsed from one 10-K
500B+data points processed a month
2012in production since
Dow Jones
Investors and risk teams already on it.
Production examples from organisations using Import.io today and in recent years.
A global investment bank
Has run managed web data feeds for its research teams.
A specialist risk and data analytics firm
Runs the web data behind its risk models on Import.io.
The edge moved from having data to trusting it.
Web data is only an edge if it survives compliance and a backtest. That means every value timestamped at capture, never overwritten, mapped to the right entity and security, with a collection method you can document. Import.io delivers web signals the way a quant, a credit committee and a compliance officer all need them.
Every fund can buy web data now. What separates a signal from a liability is whether it was collected the way it claims: values stamped when they were seen, a stable panel that doesn’t quietly lose the companies that failed, identifiers that map cleanly to securities, and a methodology your compliance team can sign.
We capture point-in-time by default, keep every version, document every source, and map entities to tickers and legal identifiers. Backfill comes from our own captures, not from today’s page pretending to be last year’s.
who uses it
- Quant and fundamental research
- Data strategy and sourcing
- Credit, lending and underwriting
- KYB, AML and risk
- Insurance and actuarial
What financial services teams do with it.
Six programs we run most often in this industry.
Related guidance: alternative data, point-in-time data, external data, data quality.
Consumer and pricing signals
Price indices, discount depth, assortment and stock-outs by company, as leading indicators of revenue and margin.
nowcastingLabour-market signals
Job postings by company, role, location and salary band, deduplicated across boards and careers pages.
hiringFilings beyond XBRL
Tables and text from 10-Ks, 10-Qs, prospectuses and registry filings, with page and table citations.
filingsKYB, sanctions and registries
Company registries, officers and sanctions lists, monitored for changes that matter to onboarding and exposure.
riskReal estate and construction
Listings, price cuts and building permits as supply and demand signals by metro.
propertyNews and event monitoring
Company events, store openings and closures, recalls and management changes as structured events.
eventsThe data, field by field.
| field | type | example |
|---|---|---|
| entity_id | str | kestrel-logistics |
| ticker / figi | str | KSTL / BBG000… |
| signal | str | open_job_postings |
| value | num | 1284 |
| unit | str | postings |
| period | date | 2026-09-25 |
| as_of | ts | 2026-09-25T13:30:04Z |
| source_url | url | careers page |
| method_version | str | v3.2 |
| content_hash | str | sha256:9f2c… |
where it comes from
- Company websites, careers pages and store locators
- Retailer and marketplace product pages
- Regulatory filings and company registries
- Sanctions and enforcement lists
- Listing portals and permit databases
- News sites and press releases
The hard parts, handled.
What breaks when this is done with scripts, and how Import.io handles it.
01
Point-in-time integrity
Values are versioned at capture and never overwritten, so backtests see only what was knowable on each date.
02
Stable panels
Coverage is fixed and changes are logged, so failed companies don’t silently disappear and bias the history.
03
Entity mapping
Brands, subsidiaries and domains are resolved to legal entities and securities, with the mapping itself versioned.
04
Due-diligence ready
Source lists, collection methods, personal-data handling and data processing terms are documented for your vendor review.
Three ways to get it.
Same capture engine underneath each one.
Managed signal feeds
Quant and data teams who want point-in-time signals delivered to Snowflake, S3 or BigQuery before the open, under an SLA.
learn more →Datasets
Filings, job postings, company registries and permits, maintained and ready to trial.
learn more →Self-service platform
Research analysts who want to prototype a signal before it becomes a feed.
learn more →data scope
Programs collect publicly available information only. Collection methods, sources, personal-data handling and data processing terms are documented for vendor due diligence, and every value carries its source URL and capture time.
Financial Services questions.
Straight answers.
Is the data point-in-time?
Yes. Every value is stamped when it was captured and kept as a version, so history reflects what was knowable on each date, not today’s restated page.
How far back does history go?
History starts from our first capture of each source. We don’t reconstruct history from current pages; where a customer needs earlier history, we say what exists and where it came from.
Can you map signals to tickers?
Yes. Companies, brands and domains are resolved to legal entities and security identifiers, and the mapping is versioned alongside the data.
Can you support our compliance due diligence?
Yes. We document sources, collection methods, rate-aware collection, personal-data handling and data processing terms, and answer vendor questionnaires.
How is data delivered?
To Snowflake, BigQuery, Databricks, S3 or SFTP on a fixed schedule, typically before the market open, with a manifest on every delivery.