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SQL Query Generation Code Generation Software Development AI API AI Data Mining AI Developer Tools AI Document Extraction Developer Tools

Firecrawl Dev

Paid

1.5M visits/mo

Apify

✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves

GitLab

1.7K saves

Peaka

4.7K visits/mo

Wren AI Cloud

✓ verifiedFreemium

Open-source GenBI platform that turns plain-English questions into governed SQL, charts and dashboards for data teams.

43K visits/mo2.1K saves

Pricing

Free Plan: $0 one-time

Hobby: $16/month

Standard: $83/month

Growth: $333/month

Auto Recharge Credits: $11/mo for 1000 credits

Credit Pack: $9/mo for 1000 credits

Enterprise Plan: Contact for Pricing

Free: $0/mo ($5 included usage)

Starter: $29/mo ($26/mo billed annually)

Scale: $199/mo ($179/mo billed annually)

Business: $999/mo ($899/mo billed annually)

Free trial available

No public pricing

Free: $0/mo (20 monthly credits, 2 projects)

Essential: $179/mo (13,200 annual credits, unlimited projects)

Enterprise: $559/mo (24,000 annual credits, row/column controls)

Core features

✦Web scraping
✦Web crawling
✦Data extraction in Markdown, JSON, and screenshot formats
✦Dynamic content handling
✦Rotating proxies
✦Rate limits management
✦Open-source availability
✦Media Parsing

✦Web scraping
✦Data extraction
✦Browser automation
✦AI agents
✦Anti-blocking
✦Proxy rotation
✦Open-source tools (Crawlee)
✦Ready-made tools and code templates

✦Zero-ETL data integration
✦Federated Query
✦Streaming Ingestion
✦Instant Replication with CDC
✦API to SQL conversion
✦NoSQL to SQL conversion
✦SQL to API conversion
✦Self-service Integration
✦Generate SQL with AI

✦Natural-language to SQL with instant charts
✦Semantic modeling layer (MDL)
✦Row-level and column-level data policies
✦20+ connectors (BigQuery, PostgreSQL, ClickHouse, Redshift)
✦Auto-generated GenBI dashboards
✦Embedded AI API with agent skills and memory
✦Cloud and self-hosted deployment

Use cases

→Powering AI assistants with real-time web content
→Enhancing sales data with web information
→Adding scraping capabilities to code editors
→Enabling customers to build AI apps with web data
→Extracting comprehensive information for in-depth research

→Data for generative AI
→Lead generation
→Market research
→Sentiment analysis

→Query data directly from its source in real-time.
→Process data wherever it is, blending data from different sources.
→Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
→Replace nightly batch ingestion with real-time data access.
→Treat every data source like a relational database by converting APIs to tables.
→Use SQL to query NoSQL databases.
→Query consolidated data and expose it with APIs.

→Self-serve analytics for non-technical teams
→Building governed dashboards from a prompt
→Embedding AI analytics into products
→Cutting ad-hoc SQL requests to data teams

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