Answers by Context.dev
Answers by Context.dev is an API that conducts live web research and returns structured JSON responses matched to user-defined example objects alongside contributing source URLs.
Answers by Context.dev is an API that conducts live web research and returns structured JSON responses matched to user-defined example objects alongside contributing source URLs.
What the product does and how it is positioned
Answers by Context.dev is a web extraction API designed to execute plain-language research tasks across the live web and assemble the findings into structured JSON output. Users provide a natural language prompt alongside an optional template object that establishes the output structure, keys, and expected value types.
The service supports fast and ultra research modes with distinct time allocations, compiles source URLs in first-seen order, and offers optional configurations for zero data retention, usage tagging, and timeout behavior that can return partial data when deadlines expire.
Source-supported ways to use the product
Extracting targeted facts and data points from the web into predefined JSON templates based on natural language prompts.
Guiding research to inspect a specific website first before expanding searches across the general web.
Answers by Context.dev shapes its findings using an example JSON object rather than a formal schema definition. The service maintains the keys and data types supplied in the template, returning unknown values as null and allowing empty arrays to hold arbitrary JSON items.
When tasks must complete within strict time boundaries, timeout options can be configured to accept incomplete research rather than failing. Under this configuration, the response marks the partial flag as true and presents the data gathered up to the deadline.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
The API offers two research modes: fast, which uses a smaller model and a 30-second budget, and ultra, which uses deeper reasoning with a 50-second budget and acts as the default.
Response structure is defined by providing an example object with placeholder values in the json_format field, which preserves specified keys and value types.
No, contributing URLs are returned in first-seen order within a single sources array, without mapping individual citations to specific JSON fields.
Specifying a domain name directly within the plain-language task prompt instructs the agent to read that site before initiating broader web searches.
Setting the zdr parameter to enabled bypasses shared caches, omits request and response content from retained logs, and skips asset uploads.