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SeekStorm

Cloud search API and crawler service supporting billions of documents, real-time indexing, autocomplete, faceted filtering, and multi-language text across any application.

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SeekStorm is a cloud-based search and crawling service built for applications that need fast, scalable full-text search without managing infrastructure. It targets teams with large document volumes, from millions to billions of records, who need results in milliseconds and can't afford search latency or downtime.

The search API handles real-time indexing: the moment a document is added, it's searchable. No batch delays, no waiting for index rebuilds. It supports up to 100 TB of index data and thousands of concurrent queries per second depending on your plan.

Key search capabilities include:

  • Autocomplete and query suggestions returned while the user types, backed by a self-learning dictionary
  • Automatic spelling correction that's fast enough to run on every keystroke
  • Boolean operators including AND, NOT, PHRASE, and implicit phrase matching
  • Faceted search with counting, filtering, sorting, and result grouping by field value
  • Result pinning to promote specific documents for certain keywords
  • Keyword-in-context summaries to surface why a result matched
  • Multi-language support covering Latin, Cyrillic, Arabic, and CJK scripts via UTF-8
  • Scoped API keys for separating indexing and query-only access

The crawling API adds a focused web crawler that converts pages into structured JSON documents. It handles boilerplate removal, extracts metadata from schema.org and Open Graph, supports configurable politeness delays, and lets you define recrawl intervals to catch new content as it appears. Useful for site search, competitive monitoring, or building searchable datasets from public web sources.

Pricing starts at $19/month for up to one million documents and scales to $499/month for 100 million documents across 10 indexes. A 14-day free trial requires no credit card.

SeekStorm also maintains open-source projects including its own Rust-based lexical and vector search library and SymSpell, a spelling correction algorithm significantly faster than standard approaches. These underpin the performance characteristics of the hosted service.

For teams evaluating alternatives to Algolia or Elasticsearch, SeekStorm positions itself on price-to-performance ratio at high document counts.

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Last 30 days

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