When the standard API does not cover it, we build it. Tailored collection, rankings, sentiment datasets and platform services — scoped one to one, delivered to your format.
Six starting points. Most projects combine two or three of them.
Real-time monitoring of large article volumes plus historical article collection, delivered as a tailored API that fits your existing schema.
We calculate a JZL Index for the accounts you specify and publish it as a ranking, configurable by category, region or period.
Historical posting and engagement data collection, so you can chart the spread of a narrative and its share of voice.
A dedicated support and engineering contact works through your requirements one to one, and keeps iterating until the output is right.
Low-cost account migration, enabling comment features, changing the account entity or account type, and more.
Historical video and engagement data collection, real-time push of new video information, and related services.
Depth of inventory, willingness to customise, and a person who owns your project.
Tens of millions of accounts and hundreds of millions of articles, growing by around 3 million records a day.
We customise data functions to your requirement and keep iterating until you are satisfied — not until a fixed scope is exhausted.
A named technical contact on every project, so requirements do not get lost in a ticket queue.
Fill in the form and our team will reply within one business day with a scope, a sample and a price.
Our team can join a call, review your schema and tell you honestly whether the data you want is available — before you pay anything.
A panoramic, automated PR and marketing intelligence platform. Over a billion real-time records a day across news, social, forums, blogs and WeChat — so you see the conversation before it becomes a cr
Learn moreUnderstand what the internet is saying about your organisation — and act while it still matters. Continuous collection, sentiment scoring, early warning and analyst support.
Learn moreHuman-labelled training data with a documented quality process — managed by a team that has spent a decade working with messy, large-scale content datasets.
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