Track product, price, stock, and review data across marketplaces and DTC sites at scale. From a single SKU's competitive position to a brand's entire catalog re-indexed every four hours.
Multi-source listing data across regional portals, unified to one schema. Daily refresh, geocoded, with price-history continuity even when listings get re-listed.
"Most likely no one is able to do it except you. We will see :-)
Aggregate hiring data across 50+ boards globally — Indeed, LinkedIn Jobs, Glassdoor, Welcome to the Jungle, StepStone — deduplicated and normalized into one schema, refreshed hourly.
Real-time inventory and pricing across StubHub, SeatGeek, Ticketmaster and regional resale platforms. Sub-minute latency, webhook-based delivery into pricing engines.
Restaurant, menu, and pricing data from DoorDash, Uber Eats, Grubhub, and regional players. Mobile-app protocols where the web doesn't expose the data.
Domain-specific training corpora for LLM, embedding, and RAG products. Crawled, cleaned, deduped, and licensed — delivered as Parquet on S3 with full provenance.
$ fs corpus inspect --version v3.2 { "corpus": "v3.2 · domain-specific", "documents": 2_437_891_204, "tokens": "4.8T", "size": "14.2 TB · parquet", "languages": 42, "categories": 18, "dedup": "minhash · simhash · 99.4% unique", "licensing": "CC-aware · respects robots", "delivery": "s3://client-bucket/corpus/v3.2/" } $ fs corpus diff v3.1 v3.2 + 312,420,118 documents + 6 new categories ~ 14 source schemas updated - 8,401,003 documents (license revoked) $ _
Healthcare, travel, financial data, government registries — we've built one-off pipelines in most of them too. Tell us your industry and target sites, and we'll tell you honestly whether we're a fit.
