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Search, crawling and research API built for AI agents, with token-efficient results and structured web-data enrichment.
Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.
Speech-to-text API infrastructure with multilingual real-time and batch transcription for building voice products.
Open-source asset-based data orchestrator, with Dagster+ cloud, for building, observing and delivering reliable data and AI pipelines.
No public pricing
Free trial available
No public pricing
Free trial available
Free trial available
- ✦Web search API tuned for agents
- ✦Full-page contents with token-efficient highlights
- ✦Asynchronous agents for deep research and enrichment
- ✦Structured outputs with grounded citations
- ✦Web monitors that track new events on a schedule
- ✦Zero data retention and SOC 2 Type II controls
- ✦Git repository hosting
- ✦Bitbucket Pipelines CI/CD
- ✦Pull requests and code review
- ✦Native Jira integration
- ✦Branch permissions and access controls
- ✦IP allowlisting and security features
- ✦Real-time multilingual speech-to-text (<300ms)
- ✦Batch/async transcription
- ✦Solaria speech models
- ✦Key-entity capture and enrichment
- ✦EU data residency
- ✦Free tier and playground
- ✦Asset-based pipeline orchestration
- ✦Built-in lineage and data-quality checks
- ✦Data catalog with asset metadata
- ✦Native dbt, Snowflake and Fivetran integrations
- ✦Branch deployments and hybrid deployment
- ✦Open-source core plus managed Dagster+ cloud
- →Give coding agents current docs and repo context
- →Power chatbots with real-time web answers
- →Enrich company and people data at scale
- →Monitor the web for fresh events
- →Source code management
- →CI/CD automation
- →Team code review
- →DevOps for Jira-based teams
- →Transcribe voice-agent and contact-center calls
- →Power meeting-assistant note taking
- →Generate subtitles and media transcripts
- →Build voice products on one API
- →Orchestrate ETL/ELT and dbt pipelines
- →Monitor data health and lineage
- →Build AI/ML data pipelines
- →Run reliable, observable data platforms