Agentery pricing intelligence · Provider profile · PaperGuide AI
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PaperGuide AI logo

PaperGuide AI

paperguide.ai official website

Finds, analyzes, and summarizes research papers; conducts literature reviews; generates deep research reports; manages references; and writes academic document…

toolPricing checked daily
Agentery value verdictBelow the niche medianfrom $17/mo
Observed entry price$17/molowest observed monthly
Billing modelfreemium
Last checked2 Sept 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Finds, analyzes, and summarizes research papers; conducts literature reviews; generates deep research reports; manages references; and writes academic documents with citations

research queries, PDFs, uploaded documents, references (Zotero, BibTeX, RIS, DOI, URLs) → research-backed answers with citations, structured paper summaries, data extraction tables, deep research reports, drafted academic documents, citations (APA, MLA, Chicago)
ZoteroBibTeXRISDOIautonomy: assistant

Pricing & plans

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

Pricing · observed daily
Plus · market position

$17 /mo

39.3% below the Pro flat median (5 providers, USD). Cheaper than 5 of 9 comparable Pro providers.
this agent · $17
$18.99median $28$29
observed 2026-09-02 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$17
$18.99$29
$28

$17 sits below the observed Pro flat range ($18.99–$29) — around the 15th percentile of observed prices. It reads as a value play; make sure the margin still works.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

39.3% below the Pro flat median.

get_agent_profile · plan history

Plus observed 2026-09-02.

pricing recommendation

~15th percentile of comparable Pro flat plans.

confidence

medium; 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.

$17 / month
$17 lowestmedian $28$84 highest
Competitive value position. At $17/month, this plan is 39.3% below the niche median.
1st
-39.3%
$18.99$29

Is PaperGuide AI 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 10% below the observed median.

Observed commercial price$17/mo
NicheAcademic Research Agent
Price benchmarkapplicable
How it compares

Compared with Academic 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 →

PaperGuide AI's local market

Nearest products by what they do.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "paperguide_ai",
  "name": "PaperGuide AI",
  "url": "https://paperguide.ai/",
  "logo": "https://agentery.com/logos/CP-3THCXS.bin",
  "niche": "academic-research-agent",
  "category": "research-knowledge-work",
  "short_summary": "Finds, analyzes, and summarizes research papers; conducts literature reviews; generates deep research reports; manages references; and writes academic document…",
  "task_performed": "Finds, analyzes, and summarizes research papers; conducts literature reviews; generates deep research reports; manages references; and writes academic documents with citations",
  "inputs_accepted": [
    "research queries",
    "PDFs",
    "uploaded documents",
    "references (Zotero",
    "BibTeX",
    "RIS",
    "DOI",
    "URLs)"
  ],
  "outputs_produced": [
    "research-backed answers with citations",
    "structured paper summaries",
    "data extraction tables",
    "deep research reports",
    "drafted academic documents",
    "citations (APA",
    "MLA",
    "Chicago)"
  ],
  "integrations_available": [
    "Zotero",
    "BibTeX",
    "RIS",
    "DOI"
  ],
  "protocols_or_interfaces": [],
  "industry_fit": [
    "academic research",
    "life sciences",
    "healthcare/clinical trials",
    "drug discovery",
    "education"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": false,
    "billing": "freemium",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "Paperguide offers a permanent free plan and paid Plus, Pro, and Evidence Teams tiers listed at $17, $39, and $119 per seat/month when billed annually; month-to-month prices are not shown in the supplied page text.",
    "confidence": "high",
    "source_url": "https://paperguide.ai/pricing/",
    "checked_at": "2026-09-02T05:04:13.910Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Rated by 1000+ Researchers and Universities",
    "user testimonials from PhD researchers, university faculty, and professionals",
    "academics from top institutions cited"
  ],
  "evidence_quality": "medium",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://paperguide.ai/"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://paperguide.ai/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1217,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:39:58.088Z",
    "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."
}