Rigzone Data Center
Datadory delivers rigzone data center data covering Rigzone's oil-price and market-data area: Brent, WTI Crude and Henry Hub natural gas futures quotes in US dollars with percent changes and GMT timestamps, chartable across windows from one day to five years, alongside the rig-count and drilling-activity reporting Rigzone maintains beside its energy news operation.
What is the Rigzone Data Center?
It is the oil-price and market-data area of Rigzone, the energy-industry portal better known for its jobs board and news service — and Datadory delivers it as structured, analysis-ready rows instead of a webpage you screenshot. Three benchmark futures series carry the product: Brent Crude, WTI Crude Oil and Natural Gas (Henry Hub), each quoted in US dollars with a percent change against prior close and a GMT-stamped update time, each chartable across windows running from one day out to five years. A site-wide ticker repeats the headline quotes with their percent changes, so the level-and-direction story of a trading session reads in one glance.
The provenance line matters too: the underlying market data is supplied by Barchart Solutions, a market-data specialist, which puts these quotes in the same family as the feeds behind broker platforms rather than a portal's own estimates. Alongside prices, Rigzone maintains rig-count and drilling-activity reporting within its news and stats areas, historically spanning US, Canadian and international regions — the activity layer that turns a price move into an upstream story.
Inside Datadory's catalog of 1,744 datasets across 159 viable industries this record scores 4/10 on quality — one of only 30 cataloged datasets scored that low — because its verified surface is narrow: three series, four fields, and a wider set of rig and permit tables that could not be fully enumerated at review. Narrow, but clean. Get a sample of this dataset and judge the rows before any commitment.
What do Rigzone Data Center sample rows look like?
Captured during the August 2026 research pass, straight from the headline tape:
commodity : WTI Crude
price_usd : 86.88
change_percent : +0.06%
commodity : Brent Crude
price_usd : 94.09
change_percent : +0.33%
commodity : Natural Gas
price_usd : 2.78
change_percent : +1.61%Read the anatomy rather than the values. One row hands over identity (WTI Crude), level ($86.88) and motion (+0.06% versus prior close) — the three things every downstream calculation needs from a benchmark quote. Each displayed quote also carries its own clock: a GMT timestamp, the captured example reading 01:45 PM GMT, which is why a London desk and a Houston desk can share one table without anyone localizing timestamps by hand.
The spread between the crude rows and the gas row shows why granularity-per-commodity matters: a seventh-of-a-percent drift in WTI and a 1.6% move in Henry Hub were printing in the same snapshot, and any model blending them needs each series' motion measured on its own scale. Multiply this shape across the 1-day to 5-year window selector and you have the time dimension; add Rigzone's rig-count reporting and you have the activity context beside it.
What fields does the Rigzone Data Center include?
Four verified fields carry the core quote table, mapped below with types, definitions and examples checked against live records during the August 2026 research pass:
- commodity — the instrument identity and the join key. Every quote row resolves to Brent Crude, WTI Crude Oil or Natural Gas through this one column, which is why a spread computation is arithmetic rather than an entity-resolution project.
- price_usd — the level. One currency across all three series means a crude-versus-gas comparison never trips over an FX conversion.
- change_percent — the motion, measured comparably. A 0.06% WTI drift and a 1.61% gas move share one column and one scale, so ranking session moves by magnitude is a sort, not a normalization exercise.
- quote_timestamp_gmt — the shared clock. GMT stamping on every displayed quote removes timezone ambiguity from cross-desk reads and lets you order observations unambiguously within a session.
Beyond these four sit the rig-count and drilling-activity statistics Rigzone publishes in its news and stats areas. Their exact column layout was not enumerable at review, so they stay folded under additional fields on request in the dictionary below rather than approximated here.
Where does coverage run, and at what grain?
Geography - global benchmarks rather than country tables: Brent Crude as the international marker, WTI Crude Oil as the US marker, and Henry Hub as the natural gas marker. Rigzone's rig-count and drilling-activity reporting extends the geographic reach beyond prices, historically spanning US, Canadian and international regions.
Temporal - two clocks at once. Live, each commodity shows the current session quote with its GMT stamp. Historically, the window selector runs from one day out to five years per commodity, so a single series supports a half-decade trend line without stitching sources together.
Granularity - one row per commodity per observation: three primary futures series plus the site ticker's headline quotes, each carrying price, percent change and timestamp at series level.
Set against the wider Datadory catalog — 1,744 datasets averaging a 7.81 quality score — the integrated oil & gas slice holds 23 cataloged datasets averaging 7.17, and this record scores 4/10: fully verified field definitions on the quote table, offset by a narrow verified surface and unenumerated depth behind the rig-reporting areas. Where it ranks inside the slice: best integrated oil & gas datasets.
How is the Rigzone Data Center delivered through Datadory?
API, files, or your warehouse. Daily, weekly, or hourly.
You pick the channel and set the cadence to match the decision the quotes feed. Trading screens want the fast lane; overnight warehouse loads want flat files sized for batch; BI tools want tabular extracts that land SQL-friendly. Cadence changes are a settings conversation, not a re-integration project.
Every delivery ships with the field dictionary above unchanged and sample rows for validation, flattened to one observation per commodity per cycle — so a Brent-minus-WTI spread is arithmetic, not parsing. Name the commodities and the cadence when you request the sample; get a sample of this dataset first and let the ongoing arrangement follow it.
Who uses this data, and for what?
A three-benchmark tape earns its keep in four specific jobs:
- Investors and quant researchers — the level-and-motion input for upstream models. Brent and WTI quotes paired with rig-count reporting turn a price move into a drill-or-defer signal you can test, and the five-year window gives a backtest enough runway to mean something.
- Market researchers and consultants — the citable numbers behind energy market overviews. Benchmark levels with percent changes and a named supplier chain make the chapter-one exhibit defensible without a footnote argument.
- Journalists, academics and students — quotable session moves with timestamps. When a story says "crude closed up a third of a percent," a GMT-stamped quote table is the receipt.
- Data scientists and ML engineers — compact exogenous features: three series, uniform shape, no entity-resolution project between them. As a secondary feed beside a deeper archive it slots into feature pipelines without schema drama.
- Sales and growth teams prospecting oilfield services — rig counts and drilling activity are the spending signals; watching them beside the price tape tells you which accounts are expanding before the earnings call says so.
Which personas get the most value?
Investors & Quant Researchers get the tightest fit: benchmark quotes and rig statistics are exactly the pair their upstream-activity models want, tracked side by side. Market Researchers & Consultants get rig and industry statistics for oil & gas market overviews with the price context attached. Journalists, Academics & Students get citable benchmark quotes with GMT receipts. Data Scientists & ML Engineers get a uniform four-field shape that drops into a pipeline as-is. Persona-by-persona detail lives on the industry pages: investors and quants, market researchers, journalists and academics, data scientists.
How does it compare within integrated oil & gas data?
Inside this slice the datasets answer different questions, and the honest framing is breadth versus verification. OilPrice.com Market Data scores 5/10 and answers at what price, for which barrel across 50+ named streams — WCS, Eagle Ford, OPEC Basket — where this record answers what did the benchmark do across three. EIA International Energy Statistics scores 9/10 and answers how much — production, reserves and trade for 200+ countries. Baker Hughes Rig Count scores 8/10 and owns the activity question with weekly North American and monthly international counts reaching back to the mid-1970s, which is where multi-decade rig history should come from rather than from here.
This record's edge is narrower than its neighbors' and worth stating plainly: one page, three benchmarks, five-year windows, and a GMT stamp on every quote — the fastest read on the tape in the slice. Pair it rather than substitute it: Baker Hughes Rig Count for deep activity history, EIA International Energy Statistics for country-level fundamentals, OilPrice.com Market Data for stream-level spot breadth.
What should I know before requesting a sample?
Four caveats, stated up front.
First, the verified dictionary covers four fields on the quote table. Rigzone's rig-count and drilling-activity reporting exists in its news and stats areas, but the full extent of those tables could not be enumerated at review, so field-level definitions there are pinned down against live records when your sample is cut — not guessed here.
Second, history depth stops at the window selector: five years per commodity, nothing implied beyond it. Decade-scale work belongs with the archive sources above.
Third, coverage is benchmarks-only on the price side. There are no regional cash assessments, no stream-level differentials, no refined products — if your models eat those, the neighboring datasets answer that question and this one answers the benchmark question.
Fourth, scoping is by named commodity. Tell us which of Brent, WTI and Henry Hub you touch, whether the rig-reporting layer matters to you, and the cadence you need — daily, weekly, or hourly — and the sample comes back shaped to your book before any recurring arrangement exists.
Notes and related datasets
Provenance note — published by Rigzone, the energy-industry portal whose main business is jobs and news, with the underlying market data supplied by Barchart Solutions, a dedicated market-data firm. That supply chain is a feature: the quotes come from a pricing specialist rather than a portal's own aggregation.
Scope note — the legacy "Data Center" name promises more tabular breadth than the product now holds; today it resolves to the price-chart product. Treat the name as historical and the quote table as the substance.
Completeness note — Datadory scores this record 4/10, one of just 30 cataloged datasets scored that low, precisely because the verified surface stops at four fields while the rig-reporting areas resist enumeration. The sample is where those boundaries get confirmed against live records.
Where to go next — the integrated oil & gas data hub holds the rest of the slice, the free integrated oil & gas datasets list shows where this record sits among its no-cost neighbors, and the rig count glossary entry explains the activity metric Rigzone reports beside its prices. For the source itself, see the Rigzone source profile; for the jobs-board sibling record, see the Rigzone jobs, companies and market directory.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| Field | Type | Definition | Example |
|---|---|---|---|
commodity | string | Futures instrument displayed on the chart page — the join key connecting every quote row in the table. | Brent Crude |
price_usd | number | Latest quote for the instrument in US dollars — the level every spread and differential computes from. | 94.09 |
change_percent | number | Percent change versus prior close shown in the site ticker — the comparable motion measure that lets a $94 crude move and a $2.78 gas move share one ranking. | +0.33% |
quote_timestamp_gmt | datetime | Timestamp of the displayed quote in Greenwich Mean Time — the shared clock that keeps a London desk and a Houston desk reading the same session. | 01:45 PM GMT |
Additional fields on request | - | Rig-count and drilling-activity statistics from Rigzone's news and stats areas, historically spanning US, Canadian and international regions — the exact column layout was not enumerable at review, so definitions ship confirmed against live records with your sample. | - |
Coverage — geography, temporal range, granularity
| Dimension | Coverage |
|---|---|
| Geography | Global benchmark futures — Brent Crude, WTI Crude Oil and Henry Hub Natural Gas; rig and drilling-activity reporting historically spans US, Canadian and international regions |
| Temporal | Live current-session quotes with GMT stamps; historical views selectable per commodity across windows from one day to five years |
| Granularity | One row per commodity per observation — three primary futures series plus the site ticker's headline quotes, each carrying price, percent change and timestamp at series level |
Questions buyers ask
What does the Rigzone Data Center dataset contain?
Benchmark futures quotes for Brent Crude, WTI Crude Oil and Henry Hub Natural Gas, each carrying a US dollar price, a percent change versus prior close and a GMT timestamp, viewable across windows from one day to five years. A site-wide ticker repeats headline quotes with percent changes, and Rigzone maintains rig-count and drilling-activity reporting in its news and stats areas.
Which commodities does the Rigzone Data Center cover?
Three benchmark series: Brent Crude, WTI Crude Oil and Henry Hub Natural Gas. These are global benchmarks rather than regional cash prices, so one row answers the level-and-direction question for the two crude benchmarks that anchor most physical contracts plus the natural gas benchmark that sets US gas sentiment.
How far back does Rigzone Data Center history go?
Per commodity, selectable chart windows run from one day out to five years, so a single series reaches back half a decade at its deepest. Anything longer requires pairing this feed with an archive source such as EIA International Energy Statistics or the Baker Hughes Rig Count workbooks for multi-decade activity history.
Does this dataset include rig counts?
Yes - Rigzone maintains rig-count and drilling-activity reporting within its news and stats areas, historically spanning US, Canadian and international regions. The full extent of those tables was not enumerable at review, so field-level definitions for them are confirmed against live records when your sample is cut rather than asserted here.
What is each quote stamped with?
Every displayed quote carries a GMT timestamp - the captured example read 01:45 PM GMT - which makes cross-timezone alignment trivial: a London desk and a Houston desk reading the same session see identical stamps without localizing anything themselves. Underlying market data is supplied by Barchart Solutions.
Can I evaluate records before committing to a feed?
That is what the sample is for. Name the commodities, the fields and the cadence you care about and Datadory returns rows shaped exactly like the dictionary above, cut to your book. The sample's schema is the shipped schema, and the daily, weekly, or hourly decision comes after the sample validates.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.