AI-powered web search API. Websets feature enables building custom lead lists from web data.
AI-powered web search API. Websets feature enables building custom lead lists from web data.
AI-powered web search API. Websets feature enables building custom lead lists from web data.
AI-powered web search API. Websets feature enables building custom lead lists from web data.
Exa (Websets) is wired into Deepline. 8 actions are available out of the box, runnable from the CLI or as a column step in an enrichment spreadsheet.
Quick start
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_answer:{"query":"{{query}}"}' --jsonAvailable actions
Getting a direct, citation-backed answer from web results
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_answer:{"query":"{{query}}"}' --jsonExtracting page contents, summaries, and highlights from URLs
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_contents:{"urls":["https://example.com"]}' --jsonFinding company-level signals and pages for target accounts through Exa entity search. Good for concept-driven company discovery, not for source-scoped or crisp filter-heavy ICP pulls.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_company_search:{"query":"{{query}}"}' --jsonFinding people-related pages and profile evidence. Especially useful on tiny startups where classic people databases are thin, but results are candidate entities that still need title/work-history validation.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_people_search:{"query":"{{query}}"}' --jsonLonger-form research synthesis from web sources
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_research:{"instructions":"{{instructions}}"}' --jsonQuick company search through the shared Deepline search interface
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_search_companies:{"query":"{{query}}"}' --jsonQuick people search through the shared Deepline search interface
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_search_people:{"query":"{{query}}"}' --jsonGeneral web search with Exa ranking and freshness controls. Best for concept-driven discovery and source-finding; expect noisy recall, and do not combine category-based entity search with includeDomains/includeText source scoping.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=exa_search:{"query":"{{query}}"}' --jsonReal quotes from 5 cited sources across review sites, blogs, Reddit, HN, X, and community forums.
“Best open web API to add on to workflows and simplest to use.”
“We use Exa's web search API to enrich unstructured data in the CRM.”
“Exa's results felt more semantically relevant out of the box.”
“It costs the same as what Perplexity charges for search-grounded queries, which is the same as Google charges for Gemini queries with search. The pricing model wouldn't be economical for my product's query volume.”
“On a 500-query independent evaluation, Exa scored 64.8% vs Perplexity's 60.1%, with the gap showing up most on semantic queries where keyword overlap isn't enough.”
AI-powered web search API. Websets feature enables building custom lead lists from web data.
Exa (Websets) is tracked for AI-powered web search API. Websets feature enables building custom lead lists from web data.
The cited source set leans positive, with 4 positive references out of 5. Deepline tracks 3 cited sources for this provider entry.
Check coverage fit, integration surface area, data freshness, contract terms, and whether the provider matches the team's target accounts and regions.
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20 questions reference this provider.
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“# Claude Code Use Cases for Sales: Practical Applications ## Overview Claude Code (via Claude API and integrations) can significantly automate and enhance sales workflows, from p”
“**Conservative limits (community consensus):** **Google Workspace:** - Per inbox daily: 15-20 emails - Warmup period: 28-35 days - Ramp schedule: - Week 1: 5/day - Week 2: 10/”
“A manual-first approach works best: start by normalizing the parent company names, then use LinkedIn and company websites to manually map subsidiaries or sister brands, and only af”
“## Auto-Deduplication for Daily Webhook Pushes **Clay** deduplicates data at insert time by comparing incoming rows against existing records in your destination table. ### How It”
“First, enrich companies in Clay using multiple data sources to get ultimate parent, immediate parent, and subsidiaries data. Use Clearbit for ultimate parent, Apollo for subsidiari”
“The HubSpot integration supports flexible matching beyond exact matches. For contact lookups, you can search using email, first and last name, or phone number, with enhanced filter”
“Yes, Clay automatically handles API rate limits and timeouts through retries and smarter pacing features that reduce errors and ensure consistent performance. When rate limits are ”
“## Why Salesforce Reports Create Duplicate Rows **Root Cause** When importing **Salesforce reports** with multiple connected objects (Payments, Applications, Organizations), the ”
“No, Clay's built-in Exa integration only supports the "perform search" action (/search endpoint) and doesn't expose Exa's phone number features that you see in their UI. If Exa has”
“Since HubSpot only does exact matching (unlike Salesforce's 'contains' function), try using address or phone number as your primary matching keys instead of domain/company name - t”
“# Grouping Duplicate Companies by Name and Location ## Create a Grouping System Instead of deleting entries, establish a system to identify and group related records: 1. **Norma”
“# Tools for Analyzing Sales Call Recordings ## Simple Approach - Create a **Claude Project** or custom **GPT** and upload transcripts directly - Setup time: ~10 minutes - Best for”
“Start with Apollo's "Find People" as your primary search using keywords like "housing," "vendor," "claims," and "relocation" rather than exact titles. Target roles like Vendor Mana”
“## Linking Columns vs. Text Shorthand in Prompts **Always link the actual column** when referencing data in prompts rather than using plain text shorthand. ### Why Link Columns ”
“Can you show me an example of sequence logic I can build? For example, I want to send an email + Connexion request the same day. Send an Email day 2 Send a follow up email day 3 ”
“## Employment Validation Strategy for Multi-Entity Companies ### Recommended Approach - Use **LinkedIn** data enrichment to pull: * Current company * Employment dates - Implem”
“# Finding Seed Distributors and Building TAM for Agricultural Companies ## Step 1: State Agricultural Organization Directories - Identify state-specific agricultural websites - Ex”
“Thanks Andrew! You're correct, the web intent signal doesn't really have anything that indicates month over month analytics. Here's an example snapshot of what the results would lo”
“# Filtering People by Job Title in Clay The people search in **Clay** filters show **current roles**, but there are important limitations to understand when conducting large-scale”
Community discussions and reviews from the last 30 days.
Exa (Websets) reference from Jacob, co-founder tryfundable.ai
Best open web API to add on to workflows and simplest to use.
Exa (Websets) reference from whoisjuan (Hacker News user)
It costs the same as what Perplexity charges for search-grounded queries, which is the same as Google charges for Gemini queries with search. The pricing model wouldn't be economical for my product's query volume.
Exa (Websets) reference from Exa benchmark report
On a 500-query independent evaluation, Exa scored 64.8% vs Perplexity's 60.1%, with the gap showing up most on semantic queries where keyword overlap isn't enough.
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