Solutions
Organised by the job you were hired to do rather than by the endpoint that happens to serve it. Each page names what this will not do for you, which is usually the part that decides whether it fits.
Where a news API fits, and where it does not
A news index tells you what is being reported. That is a narrower claim than it sounds, and most disappointment with this category comes from missing it: news will not tell you what is true, what is planned, or what happened without being written about. It is a timeliness instrument, not a completeness one.
Where it is genuinely strong is breadth and speed — coverage in languages nobody on your team reads, reaching you at the same time it reaches the people who already act on it, grouped so the volume reflects how many things happened rather than how widely one thing was syndicated. Every page below is built on that, and every one of them says where the limit is.
By function
Media monitoring
Communications and PR teams
Market intelligence
Strategy and corporate development teams
Risk monitoring
Risk, compliance and operations teams
Grounding an LLM in current events
Teams building assistants and agents
Financial research
Analysts and quantitative research teams
ESG and controversy monitoring
ESG, sustainability and investment stewardship teams
Fact-checking and claim tracing
Newsrooms and verification teams
Public opinion and narrative analysis
Research and public affairs teams
News feeds inside a product
Product and engineering teams
Adverse media in due diligence
Deal, procurement and onboarding teams
News data for research
Academic, policy and think-tank researchers
Crisis communications
Communications teams working an active incident
The three questions every one of these pages answers
Each page is structured the same way because buyers evaluate the same way, whatever the job is. First, does the mechanism fit the problem — not whether the product has a feature with the right name, but whether the thing it does addresses the thing that is going wrong. Second, what does it not cover, stated plainly enough that you can decide whether the gap is fatal or tolerable; a page that omits this is asking you to discover the gap after purchase, which is when it is most expensive. Third, how would you know six months later whether it worked, because a system nobody can evaluate is a system nobody can defend keeping, and it will be quietly switched off rather than formally removed.
Two further sections appear where there is something specific to say: the mistake teams characteristically make on that job, and what to build in the first week. The second is nearly always a manual version. Almost every job here has a form that can be done by hand for a week, and doing that first tells you the volume, the precision and the escalation rule — the three things that shape the automated version and the three that are routinely guessed wrong when the pipeline is built before anyone has read a week of output.
Solutions, recipes and reference
Three layers, and they answer different questions. A solution page asks whether this product fits a job and what it will not cover. A recipe asks how to write the query that implements it, and why those parameters rather than the obvious alternatives. The reference is every parameter, generated from what the API publishes about itself.
Each page links down to the next, so the path from "does this fit" to a working request is three clicks rather than a search.