Retrieve Stories by topic and country, inspect their sources, then connect reporting to structured Events. Build a repeatable feed without assembling the ingestion and grouping pipeline yourself.
What happened. Who’s involved. Why it deserves attention.
GDELT Cloud adds structured classification, actor roles, geographic precision and explainable Event metrics to the raw article stream. Here is what the API returned for one Event in this workflow.
CAMEOPLUS · 01
Zelensky says US is preparing investments in Ukraine
Make Public Statement · 2026-09-24
Reported location
Kyiv, Ukrainenearby area
Occurrence date basis
publication day inference
Evidence returned
3 articles · 1 evidence sources · 1 supporting StoriesArticle volume is not a count of independent corroborations.
Model judgments for prioritization, not measured losses or calibrated probabilities. Compare magnitude within its event domain. Missing scores stay unknown.
Open the reasoning returned with these scores
Magnitude
The event described is Zelensky's neutral public statement about preparations for investment.
Systemic importance · interconnectedness
The article excerpt does not describe third-party commitments dependent on this relationship.
Propagation · transmission channel
The statement concerns possible US investment in Ukraine, but no active transmission mechanism or binding commitment is described.
Market sensitivity · economic effect
The reported investment is being prepared; no binding or realized change to a claim is described.
MEET THE RECORDS
Four building blocks. Real examples.
A Story collects the reporting. An Event describes what happened. Entities identify who; facilities locate physical assets.
Story
Related reporting, grouped together.
Zelensky says US is preparing new investments in Ukraine's defense and energy
3 articles · linked to the Event beside it
Event
What happened, classified and located.
Zelensky says US is preparing investments in Ukraine
Make Public Statement · confidence 0.58
Entity
A person, organization or place with a reusable identity.
Nvidia
organization · 7 Stories on 2026-09-24
Facility
A physical asset with a location and registry details.
Amercoeur power station
oil gas plant · BEL · Global Energy Monitor
The Story and Event shown here are linked. NVIDIA and the facility are separate examples; their IDs let you connect the records returned by your own queries.
THREE STEPS, A WORKING WORKFLOW
Choose your scope. Inspect the evidence. Use the records.
01
Choose a topic, country and date window.
Dates, topics, places and classification are explicit request parameters.
02
Compare recent reporting with significant developments.
Keep original sources, model scores and coverage beside the result.
03
Follow a Story to its Events and source evidence.
Copy a request into your application. Start with one bounded page.
DATA BEHIND THIS WORKFLOW
See the Events behind a Story
We combine the GDELT Project article stream with additional regional news sources we ingest directly. GDELT Cloud groups the reporting into Stories, classifies Events and links people, organizations and places.
Open the selected Story’s linked Events and source articles. Inspect what happened, how it is classified and which reporting supports it.
Detail is fetched using the first returned Story ID. Only Events and sources actually linked by the response are shown.
Turn a topic and a country into a repeatable feed for your app, newsletter or editorial workflow.
Redistributing GDELT Cloud-generated Events, Stories, entity matches, model extractions, scores, and other generated intelligence requires a separate written license for the agreed product and delivery scope. Source-only records and customer-authored analysis based solely on them are governed by the original source terms and carry no additional GDELT Cloud redistribution fee. Review licensing scope →
WORK WITH WHAT YOU HAVE
Fill a gap. Or build your first version.
Alongside your existing workflow
Feed a CMS, newsletter workflow or media-monitoring product with grouped reporting and the sources behind it.
From a blank page
Start with a topic feed in Explore, then copy its request into a small application or MCP workflow.
YOUR WORKLOAD, MADE EXPLICIT
Small start. Room to build.
Each list page, detail lookup and context request counts as an API call. Set your schedule and see exactly what it adds up to.
1 QU per list page · 1 QU per detail lookup. Your own agent’s direct MCP calls use the same rates as REST.
List requests
24 runs × 1 pages × 1 QU = 24 QU/day
Detail lookups
20 × 1 QU = 20 QU/day
Additional context
0 QU/day
Monthly budget
44 QU/day × 30 days
1,320 QU / month1,320 requests including the retry allowance
Builder · $59/month
Lowest current public monthly plan covering these QU and required REST data access. 1,500 QU included.
Annual option: $590 billed yearly.
Hosted Monitors are separate: 3 capacity · daily minimum cadence. This calculator models API polling.
This estimate covers subscription access and API usage. It includes no separate GDELT Cloud redistribution fee for source-only records or customer-authored analysis based solely on them; upstream source terms still apply. A separate written license and any related fee may apply when redistributing GDELT Cloud-generated output. Review licensing scope →
Estimate assumptions
30 days; each context workflow runs once per scheduled run, not once per result. Detail lookups are additional daily calls. Each saved list page requests up to 3 records. Retry allowance budgets additional charged calls; it is not a claim that every failed request is billed. Other account usage and Monitors are excluded.
Describe the task. Let your agent run the workflow.
Connect your agent to GDELT Cloud through MCP. The MCP server wraps our API endpoints, so your agent can discover the right tools, apply filters and chain the same data requests shown here.