Paper To Podcast
transforms academic research papers into podcast episodes by analyzing papers and generating conversational podcast transcripts and audio
What it does
The specific capability behind this listing, and where to get it.
Paper To Podcast
transforms academic research papers into podcast episodes by analyzing papers and generating conversational podcast transcripts and audio
Official Paper To Podcast links
Pricing & plans
Observed public pricing for Paper To Podcast, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$29 /mo
This plan sits close to the comparable median.
$29 sits inside the observed Pro flat range ($16–$39) — around the 54th percentile of observed prices — squarely at market.
Why Agentery reaches that view
price_benchmark6% above the Pro flat median.
get_provider_profile · plan historyPaid plan observed 2026-09-23.
pricing recommendation~54th percentile of comparable Pro flat plans (approximate: interpolated between the cohort’s observed quartiles, 7 providers).
confidencemedium; source 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 Paper To Podcast good value?
How its price compares with genuinely comparable providers.
Priced near the market for its buyer tier.
Basis: Pro flat plans at the same billing unit (7 providers), USD monthly, pricing observed 2026-09-23. The Paid plan plan ($29/mo) sits 6% above that median of $27.35. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.
Compared with Podcast Production Automation
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.
View the full niche →Paper To Podcast's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "paper_to_podcast",
"name": "Paper To Podcast",
"url": "https://aiagentstore.ai/ai-agent/paper-to-podcast",
"logo": "https://agentery.com/logos/CP-995VG9.svg",
"niche": "podcast-production-automation",
"category": "media-entertainment",
"short_summary": "transforms academic research papers into podcast episodes by analyzing papers and generating conversational podcast transcripts and audio",
"task_performed": "transforms academic research papers into podcast episodes by analyzing papers and generating conversational podcast transcripts and audio",
"inputs_accepted": [
"academic research papers (user-submitted)"
],
"outputs_produced": [
"podcast transcripts and audio content with AI personas"
],
"integrations_available": [
"Google Docs",
"Zapier",
"Make.com",
"n8n",
"API",
"Webhooks"
],
"protocols_or_interfaces": [
"MCP",
"API",
"webhooks"
],
"industry_fit": [
"academic research",
"education",
"media and entertainment"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": true,
"billing": "free",
"source_kind": "vendor",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Public archive and submission access",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"summary": "Free. The public archive, PDF submission workflow, and published podcast feeds are presented as available without a customer subscription fee.",
"confidence": "medium",
"source_url": "https://aiagentstore.ai/pricing",
"checked_at": "2026-10-15T02:30:23.076Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Public archive and submission access",
"price": "0USD",
"period": null,
"persona": "free",
"highlights": [
"Public archive access",
"Public PDF submission",
"Podcast-feed access",
"No customer subscription fee listed"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Reddit community opinions"
],
"evidence_quality": "medium",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://aiagentstore.ai/ai-agent/paper-to-podcast"
],
"last_checked": "2026-10-15",
"profile_checked": "2026-06-16",
"price_checked": "2026-10-15",
"how_to_connect": {
"website": "https://aiagentstore.ai/ai-agent/paper-to-podcast",
"docs": "https://aiagentstore.ai/developer",
"mcp": null,
"a2a": {
"card_url": "https://aiagentstore.ai/.well-known/a2a.json"
},
"api": {
"docs_url": "https://aiagentstore.ai/developer",
"endpoint": null
},
"protocols": [
"MCP"
],
"install": null,
"repository": null
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"source_url": "https://aiagentstore.ai/pricing",
"last_observed_day": "2026-10-15",
"age_days": 12,
"verified_day": null,
"note": "from the listing's current price record; no separate page-text verification is held"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 454,
"uptime_7d": 1,
"checked_at": "2026-10-26T02:41:34.349Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}