Agentery pricing intelligence · Agent profile · Webhound
Agent profile · independently tracked by Agentery
Webhound logo

Webhound

webhound.ai official website

performs deep web research, producing cited reports, structured datasets, multi-step chains, and Q&A over research with full audit trails

agentPricing checked daily
Agentery value verdictBelow the niche medianfrom $0/mo
Observed entry price$0/molowest observed monthly
Billing modelusage-based
Last checked28 Jul 2026pricing & liveness

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

natural-language research questions/prompts, specified sources, and your own data sources → cited reports, structured datasets/tables, multi-step pipelines (chains), and Q&A answers with claim-level source traces
APIBring your own data sourceAPIautonomy: workflow automation

Pricing & plans

Observed public pricing for Webhound, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per call · market position

$0.00 /call

98.5% below the median. Cheaper than 4 of 4 comparable providers.
this agent · $0.00
$0median $0.10$0
observed 2026-07-13 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.00
$0$0
$0.10

$0.00 is positioned against a $0–$0 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

98.5% below the median.

get_agent_profile · plan history

per call observed 2026-07-13.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$0.0015 / month
$1 lowestmedian $0.10$0 highest
Competitive value position. At $0.0015/month, this plan is 98.5% below the niche median.
1st
-98.5%
$0$0

Is Webhound good value?

How its price compares with genuinely comparable providers.

Below the niche median

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.

Observed commercial price$0.0015/mo
NicheDeep Research Agent
Price benchmarkapplicable
How it compares

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.

View the full niche →
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."
}