Give your RAG pipelines and AI agents fresh, structured US web data to retrieve on demand โ continuously refreshed, change-tracked, and delivered via API, webhook or files with full provenance.
AI teams are the fastest-growing buyers of web data in 2026 โ and the demand has shifted from one-time training dumps to live data that agents and RAG systems retrieve at run time. A model is only as current as the data it can pull in, and stale context is one of the most common failure modes in production AI. We keep the external data behind your AI fresh, clean and structured for retrieval โ so your answers stay grounded in what is true right now.
Data updated in real time, hourly or daily โ matched to how fast each source changes, so retrieval is never stale.
Clean, chunk-friendly output with stable IDs โ drops straight into a vector store or RAG pipeline, no reshaping needed.
Query a live API, receive webhook pushes on change, or take scheduled files โ whatever your retrieval layer expects.
We flag what changed โ new, updated or removed โ so you re-index only deltas instead of re-crawling everything.
Every record carries source URL, capture timestamp and language โ so your agent can cite, and your team can audit.
Pipelines with retries, monitoring and alerting, backed by an uptime and freshness SLA.
| doc_id | source_url | title | chunk (truncated) | tokens | updated_at (UTC) | change |
|---|---|---|---|---|---|---|
| doc-88213 | support.example-us.com/kb/refunds | Refund policy - 2026 update | Customers in the US may request a refund within 30 days of... | 512 | 2026-05-19 11:40 | updated |
| doc-88214 | docs.example-api.io/v3/limits | Rate limits & quotas | Each API key is limited to 600 requests per minute; bursts... | 388 | 2026-05-19 11:40 | new |
| doc-88215 | news-us.example.com/2026/fed-rates | Fed holds rates steady | The Federal Reserve left its benchmark rate unchanged, citing... | 964 | 2026-05-19 11:40 | unchanged |
Typically covered: Publicly accessible US web sources matched to your app โ docs, knowledge bases, news, listings, catalogs, forums and custom source lists.
Keep your retrieval index current with a maintained feed, so generated answers reflect the latest source content.
Give autonomous agents live, structured data to read and act on โ not a snapshot frozen at training time.
Power semantic and answer search over web content that refreshes as fast as the underlying sources do.
Feed pricing, risk or ops systems that need current external signals, with change detection built in.
A short call to confirm sources, fields, refresh cadence and delivery method (API, webhook or files).
A live sample feed for your team to validate structure, freshness and retrieval fit before scaling.
Scheduled, monitored delivery with delta detection and retries โ backed by an uptime and freshness SLA.
It is an API that delivers continuously refreshed, structured web data your application can retrieve on demand โ built so RAG pipelines and AI agents always read current information instead of a stale snapshot.
Training data is a static dataset used to train or fine-tune a model once. This is a live feed your model reads at run time. Many teams use both โ see our AI Training Data Scraping service for the training side.
Depending on the source, data can refresh in real time, hourly or daily. Delta change detection means you only re-index what actually changed.
Query a live REST API, receive webhook pushes on change, or ingest scheduled files โ with retrieval-ready, chunk-friendly structure and stable IDs that fit a vector store directly.
Share the URLs and fields you need. We'll respond with a sample schema, a fast estimate, and a pilot timeline.