Expert Call Summarisation
Query this niche via MCP
niche_report({ niche: "expert-call-summarisation" })Agents · median
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleNo providers priced at the All tier yet.
All plans
0 pricedProvidervs its cohort medianMonthly
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
This page is the human view of the MCP answer. The same structured `niche_report` / `price_benchmark` an agent receives over MCP or REST.
niche_reportprice_benchmark
See the MCP response behind this pageniche_report
{
"niche": "expert-call-summarisation",
"parent_sector": "research-knowledge-work",
"provider_type_pricing": {
"slug": "expert-call-summarisation",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 19.8,
"p25": null,
"p75": null,
"providers": 1
},
"by_provider_type": {
"agent": {
"median": null,
"p25": null,
"p75": null,
"providers": 0,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced Agent-economy products are available."
},
"mcp": {
"median": null,
"p25": null,
"p75": null,
"providers": 1,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced MCP servers are available."
}
},
"recommended_cohort": null,
"recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
"fallback_context": null,
"context_note": null
},
"crowding_level": "empty",
"observed_node_count": 0,
"adjacent_niches": [
"business-research-enrichment",
"literature-review",
"news-monitoring-agent",
"company-intelligence-agent",
"document-qa-agent",
"market-intelligence-research"
],
"market_pulse": {
"pulse": 46,
"drivers": [],
"price_move_30d_pct": null,
"money_share": null,
"entry_rate": 0,
"alive_share": 1
},
"price_move": {
"d_pct": -8.7,
"w_pct": -8.7,
"m_pct": -8.7,
"comparable_agents": 1,
"quarantined_agents": 0,
"confidence": "insufficient",
"published": {
"d": false,
"w": false,
"m": false
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
"d": "video_summarizer's \"Plus\" $23.76→$19.8 (-17%)",
"w": "video_summarizer's \"Plus\" $23.76→$19.8 (-17%)",
"m": "video_summarizer's \"Plus\" $23.76→$19.8 (-17%)"
},
"tier_contribution": {
"d": {
"individual": 0,
"pro": -8.7,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": -8.7,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": -8.7,
"team_sme": 0,
"enterprise": 0
}
},
"tier_series": {
"individual": [
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100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"pro": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
91.287
],
"team_sme": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"enterprise": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
]
},
"tier_own_move": {
"d": {
"individual": 0,
"pro": -16.7,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": -16.7,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": -16.7,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 0,
"pro": 1,
"team_sme": 0,
"enterprise": 1
},
"obs_range": {
"d": {
"min": 2,
"max": 2,
"days": 1
},
"w": {
"min": 2,
"max": 2,
"days": 1
},
"m": {
"min": 2,
"max": 2,
"days": 1
}
},
"tier_obs_range": {
"d": {
"individual": null,
"pro": {
"min": 1,
"max": 1,
"days": 1
},
"team_sme": null,
"enterprise": null
},
"w": {
"individual": null,
"pro": {
"min": 1,
"max": 1,
"days": 1
},
"team_sme": null,
"enterprise": null
},
"m": {
"individual": null,
"pro": {
"min": 1,
"max": 1,
"days": 1
},
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 4,
"observed": 1,
"byPersona": {
"free": {
"n": 1,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 20,
"p25": 20,
"p75": 20,
"min": 20,
"max": 20,
"mean": 20,
"stdev": 0,
"usageShare": 1
},
"pro": {
"n": 2,
"nPriced": 2,
"reliability": "low",
"median": 27.3,
"p25": 23.55,
"p75": 31.05,
"min": 19.8,
"max": 34.8,
"mean": 27.3,
"stdev": 10.61,
"usageShare": 0
},
"team_sme": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"enterprise": {
"n": 1,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"individual": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 1,
"mixedBilling": false,
"monthlyComparable": false
},
"pro": {
"nMonthly": 2,
"p25": 23.55,
"median": 27.3,
"p75": 31.05,
"confidence": "low",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
},
"team_sme": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"enterprise": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
}
},
"byTierCohorts": {
"status": "insufficient",
"cohorts": [],
"rejected": {
"one_time": 1,
"usage_not_monthly": 1
},
"evidence": {
"status": "single_observation",
"single_observations": [
{
"tier": "pro",
"unit": "flat",
"provider": "video_summarizer",
"monthly_usd": 27.3
}
],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "video_summarizer",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$19.8/mo",
"monthly_usd": 19.8
},
{
"provider": "video_summarizer",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$34.8/mo",
"monthly_usd": 34.8
}
]
},
{
"billing": "one_time",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "video_summarizer",
"tier": "enterprise",
"billing": "one_time",
"unit": "flat",
"price": "$888",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "video_summarizer",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$20",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 1,
"normalized_observations": 2,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {
"one_time": 1,
"usage_not_monthly": 1
}
}
}
},
"billingMix": {
"freemium": 1
},
"freeTierShare": 1,
"medianLowestUsd": 19.8
},
"movement": {
"niche": "expert-call-summarisation",
"sector": "research-knowledge-work",
"pricedNow": 1,
"pairs": 0,
"repriced": [],
"newlyPriced": [
"video_summarizer"
],
"droppedFromPriced": [],
"likeForLikePct": null,
"kind": "composition",
"narrative": "Composition change (average moved, but no agent changed its price): 1 newly published pricing."
},
"index_series": {
"series": [
{
"day": "2026-07-05",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-06",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-07",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-08",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-09",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-10",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-11",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-12",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-13",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-14",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-15",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-16",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-17",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-26",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-27",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-30",
"index": 91.287,
"pairs": 2,
"dayChangePct": -8.71
}
],
"latest": 91.287,
"day_change_pct": -8.71,
"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": "video_summarizer",
"name": "video-summarizer",
"url": "https://bibigpt.co",
"short_summary": "summarizes videos and audio content from 30+ platforms, generates transcripts, mind maps, and enables AI chat over content",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 19.8,
"monthly_usd": 19.8,
"headline": "Free tier, then from $19.8/mo",
"summary": "Free tier, then from $19.8/mo. BibiGPT offers a permanent free tier, Plus at $19.8/month, Pro at $34.8/month, a limited $888 lifetime option, and prepaid usage credits."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "project_summarizer",
"name": "project-summarizer",
"url": "https://web-production-78e17.up.railway.app",
"short_summary": "x402 Text Summarizer compresses text, Markdown, or JSON into structured summaries using Claude AI. Part of the x402 micropayment task market — pay per call wit…",
"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."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "summiz",
"name": "Summiz",
"url": "https://summiz.ai/mcp",
"short_summary": "searches, retrieves, and generates summaries from video and podcast content",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or plan information was observed on the MCP homepage."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "glg_ai_moderator",
"name": "Glg Ai Moderator",
"url": "https://glg.com/how-we-help/expert-calls-meetings/ai-moderated-calls",
"short_summary": "AI agent that conducts structured expert interviews and user research calls, probing for nuanced insights while staying on-topic. Automatically transcribes, sy…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown; the service directs visitors to request a demo."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [],
"page_url": "https://agentery.com/market/expert-call-summarisation",
"summary": {
"niche": "expert-call-summarisation",
"sector": "research-knowledge-work",
"pricing_by_provider_type": {
"headline": "No published benchmark for expert-call-summarisation yet — too few comparable priced providers.",
"benchmarks": [],
"warnings": [
"No priced providers meet the benchmark bar for this scope."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "expert-call-summarisation"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/expert-call-summarisation",
"counts": {
"listings_with_price_capture": 4,
"listings_with_observed_public_price": 1,
"providers_with_numeric_monthly_price_latest_scan": 1,
"like_for_like_comparable_pairs": 0
},
"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": "single_observation",
"pricing_by_tier": null,
"single_observations": [
{
"tier": "pro",
"unit": "flat",
"provider": "video_summarizer",
"monthly_usd": 27.3
}
],
"pricing_coverage": {
"listings_with_price_capture": 4,
"listings_with_observed_public_price": 1,
"normalized_observations": 2,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {
"one_time": 1,
"usage_not_monthly": 1
}
},
"pricing_note": "Only ONE provider in this market publishes a comparable price — returned as a single observation, NOT a benchmark, median or fair price. See adjacent_pricing or confirm the market to widen the sample.",
"pricing_excluded_observations": {
"one_time": 1,
"usage_not_monthly": 1
},
"billing_mix": {
"freemium": 1
},
"free_tier_share": 1,
"top_providers": [
{
"agent_id": "video_summarizer",
"name": "video-summarizer",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 19.8,
"monthly_usd": 19.8,
"headline": "Free tier, then from $19.8/mo",
"summary": "Free tier, then from $19.8/mo. BibiGPT offers a permanent free tier, Plus at $19.8/month, Pro at $34.8/month, a limited $888 lifetime option, and prepaid usage credits."
},
"observed": true
},
{
"agent_id": "project_summarizer",
"name": "project-summarizer",
"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."
},
"observed": false
},
{
"agent_id": "summiz",
"name": "Summiz",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or plan information was observed on the MCP homepage."
},
"observed": false
},
{
"agent_id": "glg_ai_moderator",
"name": "Glg Ai Moderator",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown; the service directs visitors to request a demo."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "expert-call-summarisation"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "expert-call-summarisation",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "video_summarizer"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "video_summarizer"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
1 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
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.