
Webhound
performs deep web research, producing cited reports, structured datasets, multi-step chains, and Q&A over research with full audit trails
What it does
The specific capability behind this listing, and where to get it.
Webhound
performs deep web research, producing cited reports, structured datasets, multi-step chains, and Q&A over research with full audit trails
Official Webhound links
Pricing & plans
Observed public pricing for Webhound, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.00 /call
The current price is deliberately competitive.
$0.00 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark98.5% below the median.
get_agent_profile · plan historyper call observed 2026-07-13.
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 Webhound good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 98% below 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 →Comparable Deep Research Agent
Alternatives in the same niche, with observed price and liveness where available.






See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "webhound",
"name": "Webhound",
"url": "https://webhound.ai/",
"logo": "https://agentery.com/logos/CP-C9Q5QY-256.png",
"niche": "deep-research-agent",
"category": "research-knowledge-work",
"short_summary": "performs deep web research, producing cited reports, structured datasets, multi-step chains, and Q&A over research with full audit trails",
"task_performed": "performs deep web research, producing cited reports, structured datasets, multi-step chains, and Q&A over research with full audit trails",
"inputs_accepted": [
"natural-language research questions/prompts",
"specified sources",
"and your own data sources"
],
"outputs_produced": [
"cited reports",
"structured datasets/tables",
"multi-step pipelines (chains)",
"and Q&A answers with claim-level source traces"
],
"integrations_available": [
"API",
"Bring your own data source"
],
"protocols_or_interfaces": [
"API"
],
"industry_fit": [
"research",
"due diligence/investment",
"sales intelligence",
"policy/regulatory analysis",
"financial analysis",
"academic research"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "sometimes required",
"pricing_model": "usage-based",
"price": {
"observed": true,
"billing": "usage",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "Webhound uses pay-as-you-go research budgets starting at $1, with higher budgets supporting longer research runs.",
"confidence": "high",
"source_url": "https://webhound.ai/pricing",
"checked_at": "2026-07-28T05:46:10.649Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Hound 1.0",
"price": "$1",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"About 15 minutes of research",
"Pay-as-you-go budget controls research effort"
]
},
{
"name": "Example budget",
"price": "$5",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"About 1 hour 15 minutes",
"Investigate one clear question with citations"
]
},
{
"name": "Example budget",
"price": "$10",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"About 2 hours 30 minutes",
"Compare more sources and follow disagreements"
]
},
{
"name": "Example budget",
"price": "$25",
"usage": true,
"period": "usage",
"persona": "pro",
"highlights": [
"About 6 hours 15 minutes",
"Cover a wide question and pursue buried details"
]
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Twitter/X testimonials (Michael Seibel, Jamie Quint, Lyron)",
"LinkedIn testimonials (Stav Elkayam, Diogo Machado, Aryan Reddy Loka, Rafael Marin Jr)",
"'Trusted by researchers at' section"
],
"evidence_quality": "medium",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://webhound.ai/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://webhound.ai/",
"docs": "https://webhound.ai/api",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://webhound.ai/api",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 365,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:39:35.532Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}