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VerdictPal · editorial desk · 2026VerdictPal
Compare · Head-to-head

Pick two cards. See the diff.

Stat bars are editorial heuristics, methodology linked — not a fake benchmark leaderboard. Put two dossiers side by side and see where each one breaks.
CardsModels

Compare · Card A / Card B·Head-to-head

ExavsPerplexity

In the AI search set, Exa edges ahead overall (editorial fit 76 vs 72). Exa wins on citation honesty, privacy controls, and value for money; Perplexity wins on source quality and speed. For the canonical workflow, pick Perplexity. Use Exa when its niche specifically wins above.

Exa · avg
72
wins 11 of 16
Perplexity · avg
64
wins 4 of 16
Fields differ
14
of 16 dossier rows
Receipts
23
sources + bench notes

Checked 2026-06-09 · Exa·Checked 2026-06-07 · Perplexity

Dossier fields

Sixteen fields, side by side.

No.FieldExaPerplexity
01Status · Editorial quality gateSolidFlagship
02Editorial fit · 0–100 score76 / 10072 / 100
03CategoryAI searchAI search
04Primary surfaceAPIConsumer app
05Modalities
  • Text
  • Data
  • Text
06Role in a stackAI-native web retrieval and RAG source fetchingCited search front door and web-grounded API platform
07Best for
  • Agentic research flows that need current web context
  • RAG pipelines that need search plus clean page contents
  • Coding agents that must ground answers in current docs, repos, changelogs, and Stack Overflow
  • Enrichment and monitoring workflows where structured outputs and webhook updates matter
  • First-pass source maps before opening library databases or primary sources
  • Policy, news, product, and current-web questions where dated URLs matter
  • Deep Research drafts that need a starting citation trail
  • Developers evaluating Sonar/Search APIs for web-grounded product features
08Avoid if
  • You need a consumer research UI rather than an API
  • Your query payloads may contain sensitive personal data and you do not have a business agreement or ZDR terms
  • You need predictable flat subscription pricing instead of per-request and per-page billing
  • You expect public web retrieval to guarantee source reliability, licensing, or paywalled full text
  • You plan to paste the answer into a graded bibliography without opening every citation
  • Your institution forbids cloud processing or model improvement on student writing and you have not verified the exact account tier/settings
  • You need paywalled PDF full text or library-grade systematic review coverage
  • You assume the consumer subscription and API platform have identical privacy, retention, and billing terms
09Capabilities tracked
  • 1,000 free requests/mo
  • Search endpoint
  • configurable 180ms–1s latency
  • Contents endpoint
  • full text/highlights
  • Deep Search
  • Deep-Reasoning
  • Answer endpoint
  • Monitors/webhooks
  • Agent runs
  • structured JSON extraction
  • enterprise custom index/rate limits/ZDR
  • SOC 2 Type II
  • Consumer answer engine with inline citations
  • Pro Search
  • Deep Research
  • Spaces/files
  • model selection on higher tiers
  • Enterprise controls
  • Sonar API
  • Search API
  • Agent API
  • Embeddings API
  • OpenAI-compatible API path
10Failure modes · Documented, not buried
  • Per-endpoint pricing can surprise agent workflows
  • Additional results and AI summaries add cost
  • Agent auto effort is harder to forecast
  • Standard API privacy terms may be insufficient for sensitive queries
  • Public web context is not a reliability or copyright guarantee
  • Deep modes trade latency/cost for depth
  • Pro tier changes can degrade value for existing subscribers without clear migration
  • Deep Research can sound comprehensive while missing primary/paywalled sources
  • Consumer/Enterprise/API terms differ
  • API usage is pay-as-you-go and separate from consumer subscriptions
  • Source weighting may over-rank popular pages
  • Quotas can interrupt heavy workflows
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entries
  • Compare Exa Search + Contents against Firecrawl, Perplexity Search/Sonar, You.com, and Brave on five citation-heavy VerdictPal card prompts.
    Pending.
  • Retrieve docs, GitHub pages, pricing pages, and JavaScript-heavy marketing pages.
    Pending.
  • Simulate one agent workflow with 5, 20, and 100 searches plus contents/summaries.
    Pending.
  • Verify plan-level ZDR and DPA availability for the API key / enterprise quote used.
    Pending.
  • Run 25 questions across policy, product, academic-adjacent, technical-docs, and local/current events.
    Pending.
  • Generate 5 Deep Research briefs and manually classify every cited source.
    Pending.
  • Compare Sonar/Search API against Exa, You.com, Brave, and Scira API on 20 prompts.
    Pending.
  • Inspect consumer settings, enterprise docs, and API terms for data retention/training boundaries.
    Pending.
14Alternatives tracked
  • Tavily
  • Firecrawl
  • Brave Search API
  • Perplexity
  • Linkup
  • Google Programmable Search
  • ChatGPT
  • Gemini
  • Claude
  • You.com
  • Kagi
  • Scira AI
15Pricing checked2026-06-092026-06-07
16Last verified2026-06-092026-06-07
16 metrics

Sixteen numbers, one shared midline.

ExavsPerplexity

In the AI search set, Exa edges ahead overall (editorial fit 76 vs 72). Exa wins on citation honesty, privacy controls, and value for money; Perplexity wins on source quality and speed. For the canonical workflow, pick Perplexity. Use Exa when its niche specifically wins above.

  1. Editorial fit
    Exa76Perplexity72
  2. Source quality
    Exa52Perplexity68
  3. Citation honesty
    Exa78Perplexity56
  4. Privacy controls
    Exa57Perplexity36
  5. Value for money
    Exa74Perplexity52
  6. Speed
    Exa74Perplexity85
  7. Integration
    Exa75Perplexity70
  8. Onboarding
    Exa74Perplexity85
  9. Reliability
    Exa76Perplexity76
  10. Feature depth
    Exa98Perplexity64
  11. Data portability
    Exa65Perplexity55
  12. Transparency
    Exa92Perplexity65
  13. Ecosystem reach
    Exa75Perplexity70
  14. Documentation
    Exa52Perplexity68
  15. Independence
    Exa57Perplexity36
  16. Affordability
    Exa71Perplexity62
Exa · avg 72 · wins 11 of 160avg 64 · wins 4 of 16 · Perplexity
EvidenceExa 3 · Perplexity 1
  1. 01Editorial fit
    76
    72
  2. 02Source quality
    52
    68
  3. 03Citation honesty
    78
    56
  4. 04Privacy controls
    57
    36
PrivacyExa 2 · Perplexity 2
  1. 05Value for money
    74
    52
  2. 06Speed
    74
    85
  3. 07Integration
    75
    70
  4. 08Onboarding
    74
    85
CapabilityExa 3 · Perplexity 0
  1. 09Reliability
    76
    76
  2. 10Feature depth
    98
    64
  3. 11Data portability
    65
    55
  4. 12Transparency
    92
    65
Cost & fitExa 3 · Perplexity 1
  1. 13Ecosystem reach
    75
    70
  2. 14Documentation
    52
    68
  3. 15Independence
    57
    36
  4. 16Affordability
    71
    62
CARD A · Exa
AI search
Exa
76/100
ROLEAI-native web retrieval and RAG source fetching
Editorial fit
76
Source quality
52
Citation honesty
78
Privacy controls
57
Value for money
74
Speed
74
FREEFree
$7/MOSearch
$12/MODeep Search
SolidVerified 2026-06-09VP·METHOD

AI-native web retrieval and RAG source fetching — AI-native web search, contents, answer, monitor, and agent API platform for AI systems that need current web context, parsed pages, token-efficient highlights, structured outputs, and grounded citations.

CARD B · Perplexity
AI search
Perplexity
72/100
ROLECited search front door and web-grounded API platform
Editorial fit
72
Source quality
68
Citation honesty
56
Privacy controls
36
Value for money
52
Speed
85
FREEFree
$20/MOPro
$200/MOMax
FlagshipVerified 2026-06-07VP·METHOD

Cited search front door and web-grounded API platform — Cited answer engine and AI search platform with consumer Pro/Max search, Deep Research, Spaces/files, and developer APIs including Sonar, Search, Agent, and Embeddings.

Privacy facets

Where each card is actually private.

ExaPerplexity
Training on your dataUnknownUnknown: Not statedUnknownUnknown: Not stated
EU data residencyPartialPartial: Enterprise tier onlyPartialPartial: Enterprise tier only
SOC 2 attestationYesYes: DocumentedNoNo: Not documented
Local-first by defaultNoNo: Cloud onlyNoNo: Cloud only
Capability split

What each card does uniquely.

Only Exa13

  • 1,000 free requests/mo
  • Search endpoint
  • configurable 180ms–1s latency
  • Contents endpoint
  • full text/highlights
  • Deep Search
  • Deep-Reasoning
  • Answer endpoint
  • Monitors/webhooks
  • Agent runs
  • structured JSON extraction
  • enterprise custom index/rate limits/ZDR
  • SOC 2 Type II

Shared0

No overlap detected.

Only Perplexity10

  • Consumer answer engine with inline citations
  • Search API
  • Deep Research
  • Spaces/files
  • model selection on higher tiers
  • Enterprise controls
  • Sonar API
  • Agent API
  • Embeddings API
  • OpenAI-compatible API path
Failure modes

Where each card breaks.

Exa

  • Per-endpoint pricing can surprise agent workflows
  • Additional results and AI summaries add cost
  • Agent auto effort is harder to forecast
  • Standard API privacy terms may be insufficient for sensitive queries
  • Public web context is not a reliability or copyright guarantee
  • Deep modes trade latency/cost for depth

Perplexity

  • Pro tier changes can degrade value for existing subscribers without clear migration
  • Deep Research can sound comprehensive while missing primary/paywalled sources
  • Consumer/Enterprise/API terms differ
  • API usage is pay-as-you-go and separate from consumer subscriptions
  • Source weighting may over-rank popular pages
  • Quotas can interrupt heavy workflows
Pricing

Pulled straight from each dossier.

Exa

AI search
  • FREEFree
  • $7/MOSearch
  • $12/MODeep Search

raw · Free 1,000 requests/mo · Search USD 7/1k · Deep Search USD 12/1k · Deep-Reasoning USD 15/1k · Answer USD 5/1k · Contents USD 1/1k pages/content type · Monitors USD 15/1k · Agent fixed effort USD 0.025–2.00/run plus usage components · Enterprise custom.

Perplexity

AI search
  • FREEFree
  • $20/MOPro
  • $200/MOMax

raw · Consumer pricing should be checked against live Perplexity pricing before publication; prior desk data lists Free, Pro, Max, Education Pro, Enterprise Pro, and Enterprise Max. API pricing is separate: Sonar has token pricing and request fees by context size; Search, Agent, and Embeddings are separate API surfaces.

Verdict

Which card to actually pick.

In the AI search set, Exa edges ahead overall (editorial fit 76 vs 72). Exa wins on citation honesty, privacy controls, and value for money; Perplexity wins on source quality and speed. For the canonical workflow, pick Perplexity. Use Exa when its niche specifically wins above.

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