VerdictPal · editorial desk · updated 5 Sep 2026VerdictPal
Compare · Head-to-head

Pick two tools. 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.

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

ExavsScira AI

In the AI search set, Scira AI edges ahead overall (editorial fit 86 vs 76). Scira AI wins on citation honesty, source quality, privacy controls, and speed; the rest is a wash. For the canonical workflow, pick Scira AI. Use Exa when its niche specifically wins above.

Exa · avg
72
wins 4 of 16
Scira AI · avg
78
wins 10 of 16
Fields differ
11
of 16 dossier rows
Receipts
24
sources + bench notes

Checked 2026-06-09 · Exa·Checked 2026-06-09 · Scira AI

Dossier fields

Sixteen fields, side by side.

No.FieldExaScira AI
01Status · Editorial quality gateSolidFlagship
02Editorial fit · 0–100 score76 / 10086 / 100
03CategoryAI searchAI search
04Primary surfaceAPIConsumer app
05Modalities
  • Text
  • Data
  • Text
  • Code
  • Data
06Role in a stackAI-native web retrieval and RAG source fetchingAgentic research front door and flagship VerdictPal dossier template
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
  • Multi-step questions that need sources, not vibes
  • Users who want a cited search UI with mode selection rather than one generic answer box
  • Developers wiring Scira’s API or MCP search tools into workflows
  • Teams that may self-host or inspect the AGPL-3.0 codebase
  • VerdictPal tool authors who need a flagship dossier template
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 cite the summary without opening linked sources
  • You need guaranteed peer-reviewed full text or database-grade systematic review coverage
  • You cannot tolerate daily run caps on the free hosted tier
  • You need an enterprise DPA/security package before sending sensitive material
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
  • Hosted cited search
  • Free 3 searches/day
  • Pro unlimited searches/PDF/voice/MCP
  • Max broader model pools/images/Agent preview
  • 18 specialized modes
  • MCP into 100+ apps
  • API platform with Search/People/X/Reddit agents
  • Scira MCP server
  • AGPL-3.0 repo
  • 5M+ searches and 100K+ users claimed
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
  • Social and fast-moving modes can overweight recency/chatter
  • Free caps block serious research weeks
  • Premium model caps require plan literacy
  • MCP actions expand permission boundary
  • Hosted Scira is cloud-processed unless self-hosted
  • No enterprise DPA found in desk notes
  • Academic mode is not a systematic-review tool
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entriesNone recordedNone recorded
14Alternatives tracked
  • Tavily
  • Firecrawl
  • Brave Search API
  • Perplexity
  • Linkup
  • Google Programmable Search
  • Perplexity
  • Exa
  • You.com
  • Brave Search
15Pricing checked2026-06-092026-06-09
16Last verified2026-06-092026-06-09
16 metrics

Sixteen numbers, one shared midline.

ExavsScira AI

In the AI search set, Scira AI edges ahead overall (editorial fit 86 vs 76). Scira AI wins on citation honesty, source quality, privacy controls, and speed; the rest is a wash. For the canonical workflow, pick Scira AI. Use Exa when its niche specifically wins above.

  1. Editorial fit
    Exa76Scira AI86
  2. Source quality
    Exa52Scira AI82
  3. Citation honesty
    Exa78Scira AI86
  4. Privacy controls
    Exa57Scira AI78
  5. Value for money
    Exa74Scira AI74
  6. Speed
    Exa74Scira AI78
  7. Integration
    Exa75Scira AI82
  8. Onboarding
    Exa74Scira AI78
  9. Reliability
    Exa76Scira AI75
  10. Feature depth
    Exa98Scira AI90
  11. Data portability
    Exa65Scira AI82
  12. Transparency
    Exa92Scira AI64
  13. Ecosystem reach
    Exa75Scira AI69
  14. Documentation
    Exa52Scira AI82
  15. Independence
    Exa57Scira AI78
  16. Affordability
    Exa71Scira AI58
Exa · avg 72 · wins 4 of 160avg 78 · wins 10 of 16 · Scira AI
EvidenceExa 0 · Scira AI 4
  1. 01Editorial fit
    76
    86
  2. 02Source quality
    52
    82
  3. 03Citation honesty
    78
    86
  4. 04Privacy controls
    57
    78
PrivacyExa 0 · Scira AI 3
  1. 05Value for money
    74
    74
  2. 06Speed
    74
    78
  3. 07Integration
    75
    82
  4. 08Onboarding
    74
    78
CapabilityExa 2 · Scira AI 1
  1. 09Reliability
    76
    75
  2. 10Feature depth
    98
    90
  3. 11Data portability
    65
    82
  4. 12Transparency
    92
    64
Cost & fitExa 2 · Scira AI 2
  1. 13Ecosystem reach
    75
    69
  2. 14Documentation
    52
    82
  3. 15Independence
    57
    78
  4. 16Affordability
    71
    58
TOOL A · Exa

AI-native web retrieval and RAG source fetchingAI-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.

TOOL B · Scira AI

Agentic research front door and flagship VerdictPal dossier templateOpen-source AGPL-3.0 AI search assistant that searches the web, cites sources, supports specialized modes, connects to 100+ apps via MCP, and offers a separate API platform for Search, People, X, and Reddit agents.

Privacy facets

Where each tool is actually private.

ExaScira AI
Training on your dataUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
EU data residencyUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
SOC 2 attestationUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
Local-first by defaultUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
Capability split

What each tool 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 Scira AI10

  • Hosted cited search
  • Free 3 searches/day
  • Pro unlimited searches/PDF/voice/MCP
  • Max broader model pools/images/Agent preview
  • 18 specialized modes
  • MCP into 100+ apps
  • API platform with Search/People/X/Reddit agents
  • Scira MCP server
  • AGPL-3.0 repo
  • 5M+ searches and 100K+ users claimed
Failure modes

Where each tool 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

Scira AI

  • Social and fast-moving modes can overweight recency/chatter
  • Free caps block serious research weeks
  • Premium model caps require plan literacy
  • MCP actions expand permission boundary
  • Hosted Scira is cloud-processed unless self-hosted
  • No enterprise DPA found in desk notes
  • Academic mode is not a systematic-review tool
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.

Scira AI

AI search
  • FREEHosted Free
  • $15/MOHosted Pro
  • $60/MOHosted Max

raw · Hosted Free USD 0/mo: 3 searches/day · Hosted Pro USD 15/mo: unlimited searches, Extreme, PDF, voice, MCP apps, model caps · Hosted Max USD 60/mo: larger Claude/Gemini/OpenAI pools, image generation, Agent preview · API Free 20 req/day · API Pro USD 20/mo, 1,000 req/day.

Verdict

Which tool to actually pick.

In the AI search set, Scira AI edges ahead overall (editorial fit 86 vs 76). Scira AI wins on citation honesty, source quality, privacy controls, and speed; the rest is a wash. For the canonical workflow, pick Scira AI. Use Exa when its niche specifically wins above.

Questions this comparison answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

Should you use Exa or Scira AI?

In the AI search set, Scira AI edges ahead overall (editorial fit 86 vs 76). Scira AI wins on citation honesty, source quality, privacy controls, and speed; the rest is a wash. For the canonical workflow, pick Scira AI. Use Exa when its niche specifically wins above.

What can Exa do that Scira AI cannot?

Capabilities documented on the Exa tool but not the Scira AI tool:

  • 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

What can Scira AI do that Exa cannot?

Capabilities documented on the Scira AI tool but not the Exa tool:

  • Hosted cited search
  • Free 3 searches/day
  • Pro unlimited searches/PDF/voice/MCP
  • Max broader model pools/images/Agent preview
  • 18 specialized modes
  • MCP into 100+ apps
  • API platform with Search/People/X/Reddit agents
  • Scira MCP server
  • AGPL-3.0 repo
  • 5M+ searches and 100K+ users claimed

Is Exa or Scira AI cheaper?

Exa: Free Free · Search $7/mo · Deep Search $12/mo · Deep-Reasoning $15/mo · Answer $5/mo · Contents $1/mo. Scira AI: Hosted Free Free · Hosted Pro $15/mo · Hosted Max $60/mo · API Free Free · API Pro $20/mo.

How do Exa and Scira AI score against each other?

On editorial fit, Exa scores 76 out of 100 and Scira AI scores 86 out of 100. The score is a fit judgement for source-heavy research work, not a quality ranking — read both dossiers before you pick.