
Exa Deep Research API
Provides web search, crawling, and research for AI agents; runs searches across verticals and deep research tasks returning structured results with citations
What it does
The specific capability behind this listing, and where to get it.
Exa Deep Research API
Provides web search, crawling, and research for AI agents; runs searches across verticals and deep research tasks returning structured results with citations
Official Exa Deep Research API links
Pricing & plans
Observed public pricing for Exa Deep Research API, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.00 /page
This plan sits close to the market.
$0.00 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark0% above the median.
get_agent_profile · plan historyper page observed 2026-09-01.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Exa Deep Research API good value?
How its price compares with genuinely comparable providers.
Priced near the market for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.
Compared with Deep Research Agent
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Exa Deep Research API's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "exa",
"name": "Exa Deep Research API",
"url": "https://exa.ai/",
"logo": "https://agentery.com/logos/CP-2QFDW9.png",
"niche": "deep-research-agent",
"category": "research-knowledge-work",
"short_summary": "Provides web search, crawling, and research for AI agents; runs searches across verticals and deep research tasks returning structured results with citations",
"task_performed": "Provides web search, crawling, and research for AI agents; runs searches across verticals and deep research tasks returning structured results with citations",
"inputs_accepted": [
"search queries/API calls from AI agents"
],
"outputs_produced": [
"search results",
"answers",
"structured outputs with grounded citations",
"token-efficient content highlights",
"company/people enrichments"
],
"integrations_available": [
"API",
"MCP Server"
],
"protocols_or_interfaces": [
"API",
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "freemium",
"price": {
"observed": true,
"billing": "usage",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "Exa publicly lists usage-based pricing for search, agent runs, content retrieval, deep search, monitoring, and related usage components, with no fixed monthly subscription price shown.",
"confidence": "high",
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"checked_at": "2026-09-01T04:32:10.688Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Search",
"price": "$7 /1k requests",
"usage": true,
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"Web search tool calls for agents",
"Webpage text and highlights",
"Configurable latency"
],
"price_annual": null
},
{
"name": "Agent",
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"Asynchronous deep research runs",
"Structured outputs with citations",
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],
"price_annual": null
},
{
"name": "Contents",
"price": "$1 /1k pages per content type",
"usage": true,
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"Full page contents for LLM context",
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],
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},
{
"name": "Deep Search",
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"Multi-step agent workflows",
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"Web-grounded citations"
],
"price_annual": null
},
{
"name": "Monitors",
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"usage": true,
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"highlights": [
"Identify fresh events on the web",
"Scheduled searches",
"Webhook updates"
],
"price_annual": null
},
{
"name": "Agent Compute Units",
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"usage": true,
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"highlights": [
"Compute usage component for Agent"
],
"price_annual": null
},
{
"name": "Search tool calls",
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"usage": true,
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"Agent usage component"
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},
{
"name": "Email contact enrichment",
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"usage": true,
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"highlights": [
"Billed separately from Agent effort"
],
"price_annual": null
},
{
"name": "Phone contact enrichment",
"price": "$0.07 / phone number",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Billed separately from Agent effort"
],
"price_annual": null
},
{
"name": "Fixed effort modes",
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"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Minimal, Low, Medium, High, and X-high modes",
"Predictable per-request pricing"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"SOC 2 Type II Certified",
"Zero Data Retention",
"Cognition/Devin case study",
"HubSpot case study",
"customer case studies",
"benchmark results (FRAMES, Tip-of-Tongue, Seal0)"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "possibly suitable (SOC2 stated)",
"evidence_urls": [
"https://exa.ai/",
"https://exa.ai/pricing",
"https://exa.ai/docs/reference/research/overview"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://exa.ai/",
"docs": "https://exa.ai/docs",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://exa.ai/api",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 128,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:34:27.364Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": {
"usdPerUnit": 0.007,
"unit": "requests",
"usdPer1k": 7,
"raw": "$7 /1k requests",
"plan": "Search"
}
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}