SuggestAPI is a search platform for teams that need fast autocomplete, typeahead, document indexing, and agent-readable discovery in one stack.
The current product surface includes:
- Hybrid search that combines lexical FTS with semantic vector retrieval
- Fast precomputed typeahead suggestions
- Index creation, schema management, merchandising rules, and blue-green promotion
- Document ingestion by JSON, CSV, JSONL, Google Shopping feeds, and scheduled integrations
- Personalization, event tracking, and graph-based recommendations
- An agent gateway for domain knowledge surfaces, agent workflows, and capability discovery
Core workflow
Most teams use SuggestAPI in a loop:
- Create an index.
- Define schema and ranking behavior.
- Ingest documents or connect a sync source.
- Query
/v1/autocompleteor/v1/typeahead. - Track clicks, conversions, and personalization events.
- Tune ranking, merchandising, and integrations over time.
Main building blocks
Search
/v1/autocompletefor full ranked autocomplete/v1/typeaheadfor low-latency suggestion lookups- optional filters, personalization, spell correction, synonyms, and vector search
Data management
- logical indexes with active physical index promotion
- inline document ingestion and asynchronous bulk ingestion jobs
- schema, merchandising, export, reindex, and task endpoints
Integrations
- Google Shopping feed import
- webhook ingestion paths for ecommerce and CRM flows
Controls and reporting
- customer usage summaries and daily usage endpoints
- API key management with public/private modes
- billing checkout and portal routes
- plan, file-size, document-limit, and overage controls
Agent Discovery
agent.suggestapi.com/oks/{domain}provides a domain-scoped knowledge surface/v1/agent/*supports agent search, comparison, recommendations, and safe commerce handoffs- ARD catalogs let agents discover published capabilities without treating discovery as inventory search
For a production-focused view of those constraints, see Service Limits.