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Exa
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Exa Verified Tool

Exa provides real-time web search, page contents, deep search, monitoring, enrichment, and research agents for AI applications. Developers should protect API keys, respect source rights and robots policies, verify retrieved evidence, manage personal data and enrichment lawfully, test relevance, and monitor per-endpoint costs.

Last Update: August 20, 2026

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Starting price Free credits + from $7/1k searches

Tool Information

Exa provides real-time web search, page contents, deep search, monitoring, enrichment, and research agents for AI applications. Developers should protect API keys, respect source rights and robots policies, verify retrieved evidence, manage personal data and enrichment lawfully, test relevance, and monitor per-endpoint costs.

Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, communication, purchases, automation, deployment, or consequential changes.

New users receive $20 credits and the free tier includes $10 monthly credits. Search starts at $7 per 1,000 requests, contents at $1 per 1,000 pages, agent runs from $0.012, and Enterprise uses custom pricing.

AI output may be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, retention, training, copyright, consent, security, renewals, refunds, commercial rights, professional limits, and platform rules, and require qualified human review for legal, health, employment, code, finance, or other high-impact work.

F.A.Q (3)

Exa provides real-time web search, page contents, deep search, monitoring, enrichment, and research agents for AI applications. Developers should protect API keys, respect source rights and robots policies, verify retrieved evidence, manage personal data and enrichment lawfully, test relevance, and monitor per-endpoint costs.

Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, communication, purchases, automation, deployment, or consequential changes.

Verified pricing: Free credits + from $7/1k searches. New users receive $20 credits and the free tier includes $10 monthly credits. Search starts at $7 per 1,000 requests, contents at $1 per 1,000 pages, agent runs from $0.012, and Enterprise uses custom pricing.

Pros and Cons

Pros

  • Provides a web-search API designed for AI agents
  • Searches web; people; company; and scholarly-work indexes
  • Returns low-latency results for interactive agent loops
  • Offers neural and keyword-oriented retrieval through one API
  • Can include or exclude selected domains
  • Filters by crawl date and publication date
  • Returns webpage text and relevance-focused highlights
  • Generates page summaries for downstream language models
  • Supports live crawling with configurable freshness policies
  • Produces structured outputs governed by a supplied schema
  • Offers deep-search and asynchronous research-agent modes
  • Returns grounded citations with research outputs
  • Monitors topics on a schedule and delivers changes through webhooks
  • Provides an MCP server and numerous integrations
  • Offers free recurring credits without requiring a payment method
  • Supports enterprise controls including SSO; custom indexes; SLAs; DPA; BAA; and zero-retention arrangements

Cons

  • Search results can be incomplete; stale; duplicated; misranked; or drawn from unreliable pages
  • Citations identify sources but do not guarantee that an extracted claim is correct
  • AI summaries and structured outputs can omit qualifications or invent unsupported fields
  • Live crawling can fail on paywalls; robots rules; dynamic pages; rate limits; and authentication
  • People and company search raises privacy; profiling; accuracy; and lawful-basis obligations
  • Contact enrichment adds separate charges and regulatory risk
  • Pay-as-you-go costs vary by endpoint; result count; summaries; pages; agent effort; and third-party providers
  • Search starts around $7 per thousand requests while deep and monitor endpoints cost more
  • Agent runs range from small fractions of a dollar to about one dollar before enrichment charges
  • Free credits and low QPS are insufficient for some production workloads
  • Zero data retention; HIPAA support; custom SLAs; and some security arrangements are enterprise features
  • Sending confidential queries or private provider data requires contract and access review
  • Domain filters and system prompts cannot force the index to contain a missing authoritative source
  • Benchmark claims reflect selected datasets and may not predict a user's domain or language
  • Applications need caching; cost caps; source-quality rules; retries; monitoring; and a fallback search provider
  • High-stakes medical; legal; financial; or security answers still require primary-source inspection and qualified human review

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Applicable Tasks

AI search engine web content retrieval embeddings based search API hosting AI connectivity link prediction

Before you subscribe

  • Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
  • App-store pricing can differ from website pricing by country, device and tax.
  • Share only authorised data, and read the provider's encryption, retention and model-training terms first.
  • AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
  • Commercial usage rights vary by plan, provider terms and jurisdiction.
  • None of these tools replaces a qualified professional for medical, legal or financial decisions.

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