Deep Research Agent
Query this niche via MCP
market_report({ query: "Deep Research Agent", response_mode: "summary" })Agents · median
$29/mo
MCP servers · median
$61/mo
2.1×
MCPs cost 2.1× agents across all tiers — median $29 vs $61. Two different markets; a blended figure would mislead either buyer.
All plans — Agents vs MCPs
each dot = one provider · log scaleAgents $29
Firecrawl Agent · $19
Research Master · $19
mirothinker · $19
Gemini Google · $20
Ninjatech Research · $25
Research Master · $29
aegisagent · $50
unforgeapi · $115
Ninjatech Research · $50
Gemini Google · $200
MCP servers $61
roundtable · $59
Fact Check · $61
$25
$50
$100
AgentsMCP serversshaded = middle half · line = median
All plans
12 pricedProvidervs its cohort medianMonthly
Firecrawl Agentagent
$19 below
Research Masteragent
$19 below
mirothinkeragent
$19 below
Gemini Googleagent
$20 below
Ninjatech Researchagent
$25 below
Research Masteragent
$29 ~median
aegisagentagent
$50 above
Ninjatech Researchagent
$50 above
roundtablemcp
$59 ~median
Fact Checkmcp
$61 ~median
unforgeapiagent
$115 above
Gemini Googleagent
$200 above
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of Deep Research Agent (latest observation 2026-10-15T03:43:03.005Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its
by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
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{
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{
"provider": "exa",
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},
{
"provider": "exa",
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"monthly_usd": null
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{
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"monthly_usd": null
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{
"provider": "fact_ai",
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"monthly_usd": null
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{
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{
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{
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"monthly_usd": null
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{
"provider": "google_deep_research",
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"monthly_usd": null
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{
"provider": "google_deep_research",
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{
"provider": "google_deep_research",
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{
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{
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{
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"monthly_usd": null
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{
"provider": "google_deep_research",
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"monthly_usd": null
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{
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"price": "$0.75",
"monthly_usd": null
},
{
"provider": "google_deep_research",
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"monthly_usd": null
},
{
"provider": "google_deep_research",
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"billing": "usage",
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"price": "$3.75",
"monthly_usd": null
},
{
"provider": "google_deep_research",
"tier": "individual",
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"monthly_usd": null
},
{
"provider": "google_deep_research",
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"billing": "usage",
"unit": "flat",
"price": "$0.075",
"monthly_usd": null
},
{
"provider": "google_deep_research",
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},
{
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{
"provider": "google_deep_research",
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{
"provider": "google_deep_research",
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"monthly_usd": null
},
{
"provider": "google_deep_research",
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"monthly_usd": null
},
{
"provider": "google_deep_research",
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"billing": "usage",
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"price": "$4.50",
"monthly_usd": null
},
{
"provider": "google_deep_research",
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"monthly_usd": null
},
{
"provider": "google_deep_research",
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"monthly_usd": null
},
{
"provider": "google_deep_research",
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"monthly_usd": null
},
{
"provider": "google_deep_research",
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"monthly_usd": null
},
{
"provider": "openai_deep_research",
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"monthly_usd": null
},
{
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"billing": "usage",
"unit": "flat",
"price": "$2.00 per 1M tokens",
"monthly_usd": null
},
{
"provider": "openai_deep_research",
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"billing": "usage",
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"price": "$0.10 per 1M tokens",
"monthly_usd": null
},
{
"provider": "openai_deep_research",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$8.00 per 1M tokens",
"monthly_usd": null
},
{
"provider": "openai_deep_research",
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"price": "$8.00 per 1M tokens",
"monthly_usd": null
},
{
"provider": "verity",
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"billing": "usage",
"unit": "flat",
"price": "$0.01",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "other_usage",
"count": 5,
"offers": [
{
"provider": "exa",
"tier": "individual",
"billing": "usage",
"unit": "other_usage",
"price": "$0.012 / request",
"monthly_usd": null
},
{
"provider": "exa",
"tier": "individual",
"billing": "usage",
"unit": "other_usage",
"price": "$0.025 / request",
"monthly_usd": null
},
{
"provider": "exa",
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"billing": "usage",
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"price": "$0.10 / request",
"monthly_usd": null
},
{
"provider": "exa",
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"monthly_usd": null
},
{
"provider": "exa",
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"price": "$1.00 / request",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 5,
"offers": [
{
"provider": "ari_research",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "fact_check",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
},
{
"provider": "google_deep_research",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact Sales",
"monthly_usd": null
},
{
"provider": "gpt_researcher_2",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact via Discord or email",
"monthly_usd": null
},
{
"provider": "ninjatech_research",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 19,
"normalized_observations": 18,
"comparable_providers": 10,
"strict_cohorts": 3,
"exclusion_reasons": {
"usage_not_monthly": 63,
"ambiguous_cadence": 5,
"range": 2,
"one_time": 3
}
}
}
},
"quoteOnlyProvidersByTier": {
"individual": 0,
"enterprise": 4,
"pro": 0,
"team_sme": 0
},
"billingMix": {
"freemium": 10,
"usage": 6,
"free": 5,
"contact_sales": 1,
"subscription": 2
},
"freeTierShare": 0.63,
"medianLowestUsd": 22
},
"movement": {
"niche": "deep-research-agent",
"sector": "research-knowledge-work",
"pricedNow": 10,
"pairs": 9,
"repriced": [
{
"handle": "mirothinker",
"from": 4.99,
"to": 19,
"pct": 280.8
},
{
"handle": "fact_check",
"from": 8.95,
"to": 8.93,
"pct": -0.2
}
],
"newlyPriced": [
"gemini_google"
],
"droppedFromPriced": [
"verity"
],
"likeForLikePct": 16,
"kind": "mixed",
"narrative": "Repricing + composition: 2 agents repriced — 1 up, 1 down; 1 newly published pricing; 1 stopped showing a public price."
},
"index_series": {
"series": [
{
"day": "2026-09-16",
"index": 100,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-17",
"index": 100,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-18",
"index": 100,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-19",
"index": 100,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-20",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-09-21",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-09-22",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-09-23",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-09-24",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-09-25",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-09-26",
"index": 100,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-27",
"index": 100,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-28",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-09-29",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-09-30",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-10-01",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-02",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-03",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-04",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-05",
"index": 100,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-06",
"index": 100,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-10-07",
"index": 100,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-10-08",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-10-09",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-10-10",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-10-11",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-10-12",
"index": 100,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-13",
"index": 100,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-14",
"index": 100,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-10-15",
"index": 100,
"pairs": 13,
"dayChangePct": 0
}
],
"latest": 100,
"day_change_pct": 0,
"methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
},
"top_agents": [
{
"agent_id": "aegisagent",
"name": "Aegis Autonomous AI Agent Platform",
"url": "https://aegisagent.ai/",
"short_summary": "Autonomously decomposes and executes user-defined goals: web research, content generation, email triage, code review, monitoring, and workflow orchestration",
"price": {
"commercial": {
"entry_offer": {
"line": "Aegis",
"monthly_native": 50,
"monthly_usd": 50,
"commitment": "monthly",
"basis": "$50/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Aegis",
"price": "$50/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 50,
"monthly_usd": 50,
"headline": "From $50/mo",
"summary": "From $50/mo. Aegis publicly displays a $50/mo subscription price on its homepage, with no additional plan details shown."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "azure_foundry_deep_research",
"name": "Deep Research API",
"url": "https://azure.microsoft.com/en-us/blog/introducing-deep-research-in-azure-ai-foundry-agent-service/",
"short_summary": "Automates web-scale research—plans, analyzes, and synthesizes information from across the web to produce traceable, source-backed research reports",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No reliable public pricing for Deep Research in Azure AI Foundry Agent Service was observed in the supplied pages."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "deep_research_max",
"name": "Deep Research Max",
"url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/next-generation-gemini-deep-research/",
"short_summary": "performs autonomous long-horizon research, generating comprehensive, fully-cited analytical reports by blending web search with proprietary data sources",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for Deep Research or Deep Research Max in the supplied pages."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "exa",
"name": "Exa Deep Research API",
"url": "https://exa.ai/",
"short_summary": "Provides web search, crawling, and research for AI agents; runs searches across verticals and deep research tasks returning structured results with citations",
"price": {
"commercial": {
"rates": [
{
"line": "Search",
"per": "per 1k request",
"text": "$4 per 1k request"
},
{
"line": "Agent",
"per": "per run",
"text": "$0.01 per run"
},
{
"line": "Contents",
"per": "per 1k page",
"text": "$1 per 1k page"
},
{
"line": "Deep Search",
"per": "per 1k request",
"text": "$12 per 1k request"
},
{
"line": "Monitors",
"per": "per 1k request",
"text": "$15 per 1k request"
},
{
"line": "Instant Search",
"per": "per 1k request",
"text": "$4 per 1k request"
},
{
"line": "Fast / Auto Search",
"per": "per 1k request",
"text": "$7 per 1k request"
},
{
"line": "Deep-Reasoning Search",
"per": "per 1k request",
"text": "$15 per 1k request"
},
{
"line": "Additional results",
"per": "per 1k request",
"text": "$1 per 1k request"
},
{
"line": "AI page summaries",
"per": "per 1k page",
"text": "$1 per 1k page"
},
{
"line": "Agent Compute Units",
"per": "per acu",
"text": "$0.1 per acu"
},
{
"line": "Search tool calls",
"per": "per search",
"text": "$0.01 per search"
},
{
"line": "Email contact enrichment",
"per": "per email",
"text": "$0.02 per email"
},
{
"line": "Phone contact enrichment",
"per": "per phone",
"text": "$0.07 per phone"
},
{
"line": "Agent Minimal effort",
"per": "per request",
"text": "$0.01 per request"
},
{
"line": "Agent Low effort",
"per": "per request",
"text": "$0.03 per request"
},
{
"line": "Agent Medium effort",
"per": "per request",
"text": "$0.1 per request"
},
{
"line": "Agent High effort",
"per": "per request",
"text": "$0.5 per request"
},
{
"line": "Agent X-high effort",
"per": "per request",
"text": "$1 per request"
}
],
"currency": "USD",
"lines": [
{
"name": "Search",
"price": "$4 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Agent",
"price": "$0.012 /run",
"kind": "usage_rate",
"unit": "run",
"billed": "usage"
},
{
"name": "Contents",
"price": "$1 /1k pages per content type",
"kind": "usage_rate",
"unit": "1k page",
"billed": "usage"
},
{
"name": "Deep Search",
"price": "$12 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Monitors",
"price": "$15 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Instant Search",
"price": "$4 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Fast / Auto Search",
"price": "$7 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Deep-Reasoning Search",
"price": "$15 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Additional results",
"price": "$1 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "AI page summaries",
"price": "$1 /1k pages",
"kind": "usage_rate",
"unit": "1k page",
"billed": "usage"
},
{
"name": "Agent Compute Units",
"price": "$0.10 / ACU",
"kind": "usage_rate",
"unit": "acu",
"billed": "usage"
},
{
"name": "Search tool calls",
"price": "$0.005 / search",
"kind": "usage_rate",
"unit": "search",
"billed": "usage"
},
{
"name": "Email contact enrichment",
"price": "$0.02 / email",
"kind": "usage_rate",
"unit": "email",
"billed": "usage"
},
{
"name": "Phone contact enrichment",
"price": "$0.07 / phone number",
"kind": "usage_rate",
"unit": "phone",
"billed": "usage"
},
{
"name": "Agent Minimal effort",
"price": "$0.012 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent Low effort",
"price": "$0.025 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent Medium effort",
"price": "$0.10 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent High effort",
"price": "$0.50 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent X-high effort",
"price": "$1.00 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent Ultra effort",
"price": "usage-based",
"kind": "unknown"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$4 per 1k request; $0.01 per run (usage-based)",
"summary": "$4 per 1k request; $0.01 per run (usage-based). Exa publishes usage-based pricing for search, agent runs, content retrieval, monitoring, compute, enrichment, and per-request effort levels, with no fixed monthly subscription price shown."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "examples",
"name": "Examples",
"url": "https://github.com/NVIDIA-AI-Blueprints/aiq-research-assistant",
"short_summary": "Performs agentic research, producing quick cited answers and in-depth report-style research with multi-step planning",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for this open-source NVIDIA AI-Q research assistant repository."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "fact_ai",
"name": "FactsAI",
"url": "https://factsai.org/",
"short_summary": "performs AI-powered research and returns answers with citations from across the web via an API",
"price": {
"commercial": {
"rates": [
{
"line": "Starter",
"per": "per request",
"text": "$12 per request"
},
{
"line": "Growth",
"per": "per request",
"text": "$60 per request"
},
{
"line": "Scale",
"per": "per request",
"text": "$120 per request"
}
],
"currency": "USD",
"lines": [
{
"name": "Starter",
"price": "$12",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Growth",
"price": "$60",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Scale",
"price": "$120",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$12 per request; $60 per request (usage-based)",
"summary": "$12 per request; $60 per request (usage-based). FactsAI offers credit bundles with no required subscription, charging $0.012 per request across Starter, Growth, and Scale options."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "firecrawl_agent",
"name": "Firecrawl Agent Stack",
"url": "https://www.firecrawl.dev/blog/firecrawl-agent-open-source",
"short_summary": "autonomous web research and structured data extraction; builds and deploys custom web research agents using a plan-act loop with parallel sub-agents",
"price": {
"commercial": {
"entry_offer": {
"line": "Hobby",
"monthly_native": 19,
"monthly_usd": 19,
"commitment": "monthly",
"basis": "$19/month",
"billing_verified": true
},
"annual_option": {
"line": "Hobby (annual billing)",
"monthly_equivalent_native": 16,
"total_native": 192
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "Free",
"kind": "free",
"billed": "monthly"
},
{
"name": "Hobby",
"price": "$19/month billed monthly",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Hobby (annual billing)",
"price": "$16/month billed annually",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 19,
"monthly_usd": 19,
"headline": "Free plan; paid from $19/mo; $16/mo equivalent billed annually",
"summary": "Free plan; paid from $19/mo; $16/mo equivalent billed annually. Firecrawl offers a free tier with 1,000 monthly credits and a Hobby subscription starting at $19/month, or $16/month billed annually."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "google_deep_research",
"name": "Gemini Deep Research Agent",
"url": "https://ai.google.dev/gemini-api/docs/interactions/deep-research",
"short_summary": "autonomously plans, executes, and synthesizes multi-step research tasks to produce detailed, cited reports",
"price": {
"commercial": {
"rates": [
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$2 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$4 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$10 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$20 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0.1 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0.2 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$14 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0.75 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$1.5 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$3.75 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$7.5 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0.07 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0.15 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0.5 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$1 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$3 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$0 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$4.5 per unit"
},
{
"line": "Gemini API usage rate",
"per": "per unit",
"text": "$12 per unit"
},
{
"line": "Gemini Deep Research estimated cost",
"per": "per unit",
"text": "$1 per unit"
},
{
"line": "Gemini Deep Research estimated cost",
"per": "per unit",
"text": "$3 per unit"
},
{
"line": "Gemini Deep Research estimated cost",
"per": "per unit",
"text": "$7 per unit"
}
],
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "Free",
"kind": "free",
"billed": "monthly"
},
{
"name": "Gemini API usage rate",
"price": "$2.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$4.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$10.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$20.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.10",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.20",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$14",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.75",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$1.50",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$3.75",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$7.50",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.075",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.15",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.50",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$1.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$3.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.005",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$0.002",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$4.50",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini API usage rate",
"price": "$12.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini Deep Research estimated cost",
"price": "$1.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini Deep Research estimated cost",
"price": "$3.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Gemini Deep Research estimated cost",
"price": "$7.00",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Enterprise",
"price": "Contact Sales",
"kind": "custom"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$2 per unit; $4 per unit (usage-based)",
"summary": "$2 per unit; $4 per unit (usage-based). Google Gemini API offers a free tier, usage-based paid pricing with multiple published rates, and an enterprise tier priced through sales."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "openai_deep_research",
"name": "OpenAI Deep Research API",
"url": "https://developers.openai.com/cookbook/examples/deep_research_api/introduction_to_deep_research_api_agents",
"short_summary": "performs deep multi-step empirical research, synthesis, planning, and tool use via agentic research workflows",
"price": {
"commercial": {
"rates": [
{
"line": "gpt-6-astra",
"per": "per 1m token",
"text": "$10 per 1m token"
},
{
"line": "gpt-6.1-sol",
"per": "per 1m token",
"text": "$2 per 1m token"
},
{
"line": "gpt-6-luna",
"per": "per 1m token",
"text": "$0.1 per 1m token"
},
{
"line": "gpt-image-2.5-sunburst",
"per": "per 1m token",
"text": "$8 per 1m token"
},
{
"line": "gpt-image-2.5-flare",
"per": "per 1m token",
"text": "$8 per 1m token"
}
],
"currency": "USD",
"lines": [
{
"name": "gpt-6-astra",
"price": "$10.00 per 1M tokens",
"kind": "usage_rate",
"unit": "1m token",
"billed": "usage"
},
{
"name": "gpt-6.1-sol",
"price": "$2.00 per 1M tokens",
"kind": "usage_rate",
"unit": "1m token",
"billed": "usage"
},
{
"name": "gpt-6-luna",
"price": "$0.10 per 1M tokens",
"kind": "usage_rate",
"unit": "1m token",
"billed": "usage"
},
{
"name": "gpt-image-2.5-sunburst",
"price": "$8.00 per 1M tokens",
"kind": "usage_rate",
"unit": "1m token",
"billed": "usage"
},
{
"name": "gpt-image-2.5-flare",
"price": "$8.00 per 1M tokens",
"kind": "usage_rate",
"unit": "1m token",
"billed": "usage"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$10 per 1m token; $2 per 1m token (usage-based)",
"summary": "$10 per 1m token; $2 per 1m token (usage-based). OpenAI lists model and image-generation usage rates in USD per 1M tokens, with prices varying by model, modality, token category, and processing mode."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "researchapi_ai",
"name": "AI Research API",
"url": "https://researchapi.ai/",
"short_summary": "generates AI-powered research reports on any topic by scouring the web and compiling findings into markdown-formatted reports with sources",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "Research API packages are publicly listed at $50, $375, and $1500 for increasing credit allocations, but the billing period is not stated."
},
"evidence_quality": "high",
"upvotes": 0
}
],
"platforms_also_here": [
{
"agent_id": "aurix_agent",
"name": "Aurix Agent",
"url": "https://haikzs.tech",
"short_summary": "Open-source terminal AI agent for coding, browser automation, deep research, bug hunting, and multi-agent workflows. Runs via CLI, Discord, Telegram, or WhatsA…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown on the homepage, and no pricing page was available."
},
"home_niche": "cli-coding-agent",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "brightwave",
"name": "Brightwave",
"url": "https://brightwave.io/",
"short_summary": "Enterprise AI platform with autonomous agents that collaborate on complex projects. Provides unlimited scope and context, full sourcing and verifiability, and…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"home_niche": "enterprise-ai-platform",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "exa_ai",
"name": "Exa",
"url": "https://exa.ai/",
"short_summary": "provides web search, crawling, and research capabilities for AI agents; extracts structured content and enrichments from websites and live data",
"price": {
"commercial": {
"rates": [
{
"line": "Search",
"per": "per 1k request",
"text": "$4 per 1k request"
},
{
"line": "Agent",
"per": "per run",
"text": "$0.01–$1 per run"
},
{
"line": "Contents",
"per": "per 1k page",
"text": "$1 per 1k page"
},
{
"line": "Deep Search",
"per": "per 1k request",
"text": "$12–$15 per 1k request"
},
{
"line": "Monitors",
"per": "per 1k request",
"text": "$15 per 1k request"
},
{
"line": "Agent Compute Units",
"per": "per acu",
"text": "$0.1 per acu"
},
{
"line": "Search tool calls",
"per": "per search",
"text": "$0.01 per search"
},
{
"line": "Email contact enrichment",
"per": "per email",
"text": "$0.02 per email"
},
{
"line": "Phone contact enrichment",
"per": "per phone",
"text": "$0.07 per phone"
}
],
"currency": "USD",
"lines": [
{
"name": "Search",
"price": "$4 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Agent",
"price": "$0.012–$1.00 /run",
"kind": "usage_rate",
"unit": "run",
"billed": "usage"
},
{
"name": "Contents",
"price": "$1 /1k pages",
"kind": "usage_rate",
"unit": "1k page",
"billed": "usage"
},
{
"name": "Deep Search",
"price": "$12–15 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Monitors",
"price": "$15 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Agent Compute Units",
"price": "$0.10 / ACU",
"kind": "usage_rate",
"unit": "acu",
"billed": "usage"
},
{
"name": "Search tool calls",
"price": "$0.005 / search",
"kind": "usage_rate",
"unit": "search",
"billed": "usage"
},
{
"name": "Email contact enrichment",
"price": "$0.02 / email",
"kind": "usage_rate",
"unit": "email",
"billed": "usage"
},
{
"name": "Phone contact enrichment",
"price": "$0.07 / phone number",
"kind": "usage_rate",
"unit": "phone",
"billed": "usage"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$4 per 1k request; $0.01–$1 per run (usage-based)",
"summary": "$4 per 1k request; $0.01–$1 per run (usage-based). Exa publishes usage-based pricing for search, agent runs, content retrieval, deep search, monitors, and related agent components, with no fixed monthly subscription price shown."
},
"home_niche": "web-search-api",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "gemini_ai",
"name": "Gemini",
"url": "https://gemini.google/us/about/?hl=en",
"short_summary": "Everyday AI assistant that helps with tasks at work, school or home, including image/video generation, deep research, breaking goals into steps, daily briefing…",
"price": {
"commercial": {
"entry_offer": {
"line": "Google AI Plus",
"monthly_native": 4.99,
"monthly_usd": 4.99,
"commitment": "monthly",
"basis": "$4.99/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0/ month",
"kind": "free",
"billed": "monthly"
},
{
"name": "Google AI Plus",
"price": "$4.99/ month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Google AI Pro",
"price": "$19.99/ month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 4.99,
"monthly_usd": 4.99,
"headline": "Free plan; paid from $4.99/mo",
"summary": "Free plan; paid from $4.99/mo. Google Gemini offers a free plan and paid Google AI Plus and Google AI Pro subscriptions starting at $4.99 per month, with additional visible prices for plans whose names were not included in the supplied text."
},
"home_niche": "personal-ai-assistant",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "kendr",
"name": "Kendr",
"url": "https://kendr.org",
"short_summary": "Workspace for deep research, agentic workflows, and reusable knowledge bases. Integrates research, multi-step agent execution, approvals, and persistent contex…",
"price": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 8,
"monthly_usd": 8,
"commitment": "monthly",
"basis": "$8/month",
"billing_verified": true
},
"currency": "USD",
"notes": [
"other prices: School plan $5 / 30 days (one-time)"
],
"lines": [
{
"name": "Starter",
"price": "$8 USD / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$40 USD / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Max",
"price": "$80 USD / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "School plan",
"price": "$5 / 30 days",
"kind": "one_off",
"billed": "one_off"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 8,
"monthly_usd": 8,
"headline": "From $8/mo",
"summary": "From $8/mo. Kendr offers monthly Starter, Pro, and Max subscriptions at $8, $40, and $80, plus a discounted School plan for eligible students and educators."
},
"home_niche": "enterprise-knowledge-platform",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "manifold_ai",
"name": "Manifold Ai",
"url": "https://manifold.ai/platform/ai-agents",
"short_summary": "Orchestrates domain-specialized AI agents to accelerate scientific research—generating cohorts, tables, visualizations, exploring datasets, estimating cohort s…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"home_niche": "autonomous-ai-research-lab",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "skywork_ai",
"name": "Skywork",
"url": "https://skywork.ai/",
"short_summary": "Generates multimodal content (documents, slides, sheets, images, websites, videos, podcasts) from simple input, including deep research, and records/transcribe…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public plan prices are shown; the site advertises a limited-time trial with 800 daily free credits and requires login for trial access."
},
"home_niche": "meeting-notes-transcription",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/deep-research-agent",
"summary": {
"niche": "deep-research-agent",
"sector": "research-knowledge-work",
"pricing_by_provider_type": {
"headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: Agents · Pro median $27/mo (6 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
"benchmarks": [
{
"provider_type": "agent",
"provider_type_label": "Agents",
"buyer_tier": "pro",
"buyer_tier_label": "Pro",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 6,
"reliability": "medium",
"median": 27,
"p25": 21.24,
"p75": 44.75,
"status": "ok"
},
{
"provider_type": "agent",
"provider_type_label": "Agents",
"buyer_tier": "individual",
"buyer_tier_label": "Individual",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
19,
19
]
},
{
"provider_type": "agent",
"provider_type_label": "Agents",
"buyer_tier": "team_sme",
"buyer_tier_label": "Team / SME",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
50,
199.99
]
},
{
"provider_type": "mcp",
"provider_type_label": "MCP servers",
"buyer_tier": "pro",
"buyer_tier_label": "Pro",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
59,
60.99
]
}
],
"warnings": [
"This niche currently has sufficient agent pricing but insufficient MCP pricing."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "deep-research-agent"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/deep-research-agent",
"counts": {
"listings_with_price_capture": 55,
"listings_with_observed_public_price": 24,
"providers_with_numeric_monthly_price_latest_scan": 10,
"like_for_like_comparable_pairs": 9
},
"movement": {
"d": {
"published": false,
"value_pct": null,
"held_reason": null
},
"w": {
"published": false,
"value_pct": null,
"held_reason": null
},
"m": {
"published": false,
"value_pct": null,
"held_reason": null
}
},
"pricing_version": "cohorts-1",
"pricing_status": "ok",
"pricing_by_tier": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 19,
"provider_count": 2,
"plan_observation_count": 2,
"data_confidence": 0.15,
"data_confidence_basis": {
"provider_component": 0.17,
"observation_component": 0.1,
"provider_count": 2,
"plan_observation_count": 2
},
"reliability": "low",
"members": [
{
"provider": "firecrawl_agent",
"usd": 19
},
{
"provider": "research_master",
"usd": 19
}
]
},
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 39.5,
"provider_count": 8,
"plan_observation_count": 12,
"data_confidence": 0.65,
"data_confidence_basis": {
"provider_component": 0.67,
"observation_component": 0.6,
"provider_count": 8,
"plan_observation_count": 12
},
"reliability": "medium",
"members": [
{
"provider": "mirothinker",
"usd": 19
},
{
"provider": "gemini_google",
"usd": 19.99
},
{
"provider": "ninjatech_research",
"usd": 25
},
{
"provider": "research_master",
"usd": 29
},
{
"provider": "aegisagent",
"usd": 50
},
{
"provider": "roundtable",
"usd": 59
},
{
"provider": "fact_check",
"usd": 60.99
},
{
"provider": "unforgeapi",
"usd": 114.5
}
],
"p25": 23.75,
"p75": 59.5
},
{
"tier": "team_sme",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 199.99,
"provider_count": 3,
"plan_observation_count": 3,
"data_confidence": 0.23,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.15,
"provider_count": 3,
"plan_observation_count": 3
},
"reliability": "low",
"members": [
{
"provider": "ninjatech_research",
"usd": 50
},
{
"provider": "gemini_google",
"usd": 199.99
},
{
"provider": "fact_check",
"usd": 454.86
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 55,
"listings_with_observed_public_price": 24,
"normalized_observations": 18,
"comparable_providers": 10,
"strict_cohorts": 3,
"exclusion_reasons": {
"usage_not_monthly": 63,
"ambiguous_cadence": 5,
"range": 2,
"one_time": 3
}
},
"pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
"pricing_excluded_observations": {
"usage_not_monthly": 63,
"ambiguous_cadence": 5,
"range": 2,
"one_time": 3
},
"billing_mix": {
"freemium": 10,
"usage": 6,
"free": 5,
"contact_sales": 1,
"subscription": 2
},
"free_tier_share": 0.63,
"top_providers": [
{
"agent_id": "aegisagent",
"name": "Aegis Autonomous AI Agent Platform",
"price": {
"commercial": {
"entry_offer": {
"line": "Aegis",
"monthly_native": 50,
"monthly_usd": 50,
"commitment": "monthly",
"basis": "$50/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Aegis",
"price": "$50/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 50,
"monthly_usd": 50,
"headline": "From $50/mo",
"summary": "From $50/mo. Aegis publicly displays a $50/mo subscription price on its homepage, with no additional plan details shown."
},
"observed": true
},
{
"agent_id": "azure_foundry_deep_research",
"name": "Deep Research API",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No reliable public pricing for Deep Research in Azure AI Foundry Agent Service was observed in the supplied pages."
},
"observed": false
},
{
"agent_id": "deep_research_max",
"name": "Deep Research Max",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for Deep Research or Deep Research Max in the supplied pages."
},
"observed": false
},
{
"agent_id": "exa",
"name": "Exa Deep Research API",
"price": {
"commercial": {
"rates": [
{
"line": "Search",
"per": "per 1k request",
"text": "$4 per 1k request"
},
{
"line": "Agent",
"per": "per run",
"text": "$0.01 per run"
},
{
"line": "Contents",
"per": "per 1k page",
"text": "$1 per 1k page"
},
{
"line": "Deep Search",
"per": "per 1k request",
"text": "$12 per 1k request"
},
{
"line": "Monitors",
"per": "per 1k request",
"text": "$15 per 1k request"
},
{
"line": "Instant Search",
"per": "per 1k request",
"text": "$4 per 1k request"
},
{
"line": "Fast / Auto Search",
"per": "per 1k request",
"text": "$7 per 1k request"
},
{
"line": "Deep-Reasoning Search",
"per": "per 1k request",
"text": "$15 per 1k request"
},
{
"line": "Additional results",
"per": "per 1k request",
"text": "$1 per 1k request"
},
{
"line": "AI page summaries",
"per": "per 1k page",
"text": "$1 per 1k page"
},
{
"line": "Agent Compute Units",
"per": "per acu",
"text": "$0.1 per acu"
},
{
"line": "Search tool calls",
"per": "per search",
"text": "$0.01 per search"
},
{
"line": "Email contact enrichment",
"per": "per email",
"text": "$0.02 per email"
},
{
"line": "Phone contact enrichment",
"per": "per phone",
"text": "$0.07 per phone"
},
{
"line": "Agent Minimal effort",
"per": "per request",
"text": "$0.01 per request"
},
{
"line": "Agent Low effort",
"per": "per request",
"text": "$0.03 per request"
},
{
"line": "Agent Medium effort",
"per": "per request",
"text": "$0.1 per request"
},
{
"line": "Agent High effort",
"per": "per request",
"text": "$0.5 per request"
},
{
"line": "Agent X-high effort",
"per": "per request",
"text": "$1 per request"
}
],
"currency": "USD",
"lines": [
{
"name": "Search",
"price": "$4 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Agent",
"price": "$0.012 /run",
"kind": "usage_rate",
"unit": "run",
"billed": "usage"
},
{
"name": "Contents",
"price": "$1 /1k pages per content type",
"kind": "usage_rate",
"unit": "1k page",
"billed": "usage"
},
{
"name": "Deep Search",
"price": "$12 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Monitors",
"price": "$15 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Instant Search",
"price": "$4 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Fast / Auto Search",
"price": "$7 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Deep-Reasoning Search",
"price": "$15 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "Additional results",
"price": "$1 /1k requests",
"kind": "usage_rate",
"unit": "1k request",
"billed": "usage"
},
{
"name": "AI page summaries",
"price": "$1 /1k pages",
"kind": "usage_rate",
"unit": "1k page",
"billed": "usage"
},
{
"name": "Agent Compute Units",
"price": "$0.10 / ACU",
"kind": "usage_rate",
"unit": "acu",
"billed": "usage"
},
{
"name": "Search tool calls",
"price": "$0.005 / search",
"kind": "usage_rate",
"unit": "search",
"billed": "usage"
},
{
"name": "Email contact enrichment",
"price": "$0.02 / email",
"kind": "usage_rate",
"unit": "email",
"billed": "usage"
},
{
"name": "Phone contact enrichment",
"price": "$0.07 / phone number",
"kind": "usage_rate",
"unit": "phone",
"billed": "usage"
},
{
"name": "Agent Minimal effort",
"price": "$0.012 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent Low effort",
"price": "$0.025 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent Medium effort",
"price": "$0.10 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent High effort",
"price": "$0.50 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent X-high effort",
"price": "$1.00 / request",
"kind": "usage_rate",
"unit": "request",
"billed": "usage"
},
{
"name": "Agent Ultra effort",
"price": "usage-based",
"kind": "unknown"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$4 per 1k request; $0.01 per run (usage-based)",
"summary": "$4 per 1k request; $0.01 per run (usage-based). Exa publishes usage-based pricing for search, agent runs, content retrieval, monitoring, compute, enrichment, and per-request effort levels, with no fixed monthly subscription price shown."
},
"observed": true
},
{
"agent_id": "examples",
"name": "Examples",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for this open-source NVIDIA AI-Q research assistant repository."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "deep-research-agent"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "deep-research-agent",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "aegisagent"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "aegisagent"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
15 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
AAAegis Autonomous AI Agent PlatformAutonomously decomposes and executes user-defined goals: web research, content generation, email triage, code review, monitoring, and workflow orchestration
mcp$50from / mo26.6% above88% live
Firecrawl Agent Stackautonomous web research and structured data extraction; builds and deploys custom web research agents using a plan-act loop with parallel sub-agents
Gemini Deep Research Agentautonomously plans, executes, and synthesizes multi-step research tasks to produce detailed, cited reports
UnforgeAPI Deep Research APIperforms real-time deep web research and returns structured JSON data for AI agents/LLMs
ARI (Advanced Research & Insights)performs professional-grade deep research, analyzing up to 400 sources to produce comprehensive research reports
Fact CheckFact-check factual claims against independent sources. assess gives a fast multi-model verdict (True → False) with bucketed confidence in ~5–10s; verify runs a…
Gemini Deep Researchconducts multi-step research by planning, searching web and Workspace sources, analysing, and synthesizing comprehensive reports
AI Research Agentbrowses the web and analyzes sources to gather and analyze research, generating quick answers or in-depth reports with citations
RoundtableYour AI Board of Directors. Run multi-model debates where GPT-4o, Claude, Gemini, and more discuss your question, then a moderator synthesizes their perspectiv…HHyperplexityconducts deep, structured research and creates verified, cited research tables with confidence scores
mcpFreefree to use—88% live
AutosearchOpen-source deep research tool for AI agents. Searches 40 channels (including 10+ Chinese sources) in parallel, self-improves per session, and provides 100% ci…
Gpt Researcher 2Open-source autonomous AI research agent that produces deep, multi-source research reports with inline citations. Ranked #1 on Carnegie Mellon's DeepResearchGy…
Research MasterResearch Master is a verified market research tool that turns a product, company, URL, or market question into a cross-checked evidence workspace and research…
WheatStructured research sprint tool for Claude Code that turns architecture decisions into typed claims with evidence grades, compiles them into validated briefs,…Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.