Context.dev vs Hex

Context.dev

Pros

• Every credit comes from one pool, so scraping, search, brand and extraction don't need four subscriptions to reason about
• The free tier is usable rather than decorative — 500 credits, 50 brand retrievals and no card
• Overage rates fall as the plan grows, from $15 to $7 per 10K credits
• Make, Zapier, Sheets and Excel integrations put it in reach of people who won't be writing a client

Cons

• Credit-metered across six different products, so forecasting a month's spend takes more arithmetic than a flat seat price
• The free plan simply stops at 500 credits rather than degrading, which is honest but abrupt mid-build
• SSO, custom limits and the 99.9% SLA are Enterprise-only

Hex

Pros

• Multiplayer editing genuinely works like a shared doc, which most notebook tools don't offer
• Publishing a notebook as a clean app closes the gap between analysis and a usable internal tool
• Supports the major warehouses — Snowflake, BigQuery, Redshift, Databricks — out of the box

Cons

• Compute is billed separately from seats, so costs are less predictable than a flat per-user price
• The free Community tier drops collaboration and private projects, the features that make Hex distinctive
• Best suited to teams already comfortable with SQL and Python, not a no-code audience

Context.dev is the better fit for:

• Feeding an agent clean page text without maintaining a scraping fleet
• Building a RAG index from a documentation site in one crawl
• Pulling logos and brand colours for a directory, CRM or partner page
• Enriching a lead list with industry codes from nothing but a domain
• Watching competitor pricing pages and reacting when they change
• Replacing a stack of single-purpose API subscriptions with one credit pool

Hex is the better fit for:

• Building a shared analysis with SQL and Python in the same notebook as a teammate
• Publishing a recurring report as an interactive app for non-technical stakeholders
• Prototyping a small internal data app without standing up a separate front end
• Scheduling an analysis to refresh and alert when a metric moves
• Reviewing a teammate's analysis like a code change before it ships
• Answering an ad-hoc question from the business without building a dashboard for it