Sales prospecting in 2026 is increasingly automated, with AI agents that research prospects, enrich leads, and personalize outreach at scale. The best prospecting data API gives you company intelligence, market positioning, and competitive context through a programmable interface that feeds directly into your sales automation pipeline. We ranked five APIs on prospecting data breadth, automation friendliness, integration options, and cost per prospect researched.
Scavio provides the broadest search-based prospecting intelligence at the lowest per-query cost. Google, Amazon, YouTube, and Walmart data through a single API gives sales teams company news, product positioning, and competitive context that pure contact databases miss.
Full Ranking
Scavio
Sales teams building AI prospecting agents on a budget
- Company research across Google, Amazon, YouTube in one API call
- Half a cent per prospect research query
- LangChain and MCP for building automated prospecting agents
- Product data from Amazon and Walmart for ecommerce prospect research
- 250 free credits monthly for pipeline development
- No direct email or phone data, pair with a contact provider
- Search-based intel requires interpretation, not pre-scored leads
Apollo.io
Teams that need direct contact data with prospecting workflows
- 275 million contacts with emails and phone numbers
- Built-in email sequences and dialer
- Firmographic filters for targeting
- Per-user pricing expensive for growing teams
- Limited company research beyond firmographics
- No product or competitive intelligence
Exa
Discovering similar companies to existing customers
- Semantic search finds companies similar to your best customers
- Good for ICP-based prospecting
- 1K free monthly searches
- No contact data
- Semantic results can drift from target profiles
- Web content only
Tavily
Quick company summaries during prospecting research
- AI-generated company overviews
- Fast results for quick checks
- 1K free monthly queries
- Summaries miss nuanced competitive details
- No contact data
- Higher per-query cost
Firecrawl
Deep research on individual high-value prospects
- Can scrape prospect company websites
- Returns structured content
- Good for account-based selling research
- Too slow for bulk prospecting
- Fragile to website changes
- No structured company data schema
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Data type | Search intelligence | Contact database | Semantic search |
| Cost per prospect | $0.005-0.02 | Per user/mo | $0.005 |
| Contact data | No | 275M contacts | No |
| Product intelligence | Amazon + Walmart | No | No |
| Automation support | LangChain + MCP | Built-in sequences | LangChain |
| Free tier | 250/mo | Free plan | 1K/mo |
Why Scavio Wins
- Multi-platform search intelligence gives sales teams context that contact databases miss, like a prospect's Amazon products, YouTube marketing strategy, and Google search visibility.
- At half a cent per query, researching one hundred prospects with three queries each costs a dollar fifty, making thorough prospect research viable for every deal.
- LangChain and MCP integrations let teams build AI prospecting agents that automatically research every inbound lead before the first sales call.
- Pairing Scavio with Apollo creates a complete prospecting stack for under eighty dollars a month, with both intelligence and contact data covered.
- The 250 free monthly credits let sales teams prototype their prospecting pipeline on real prospects before committing budget.