Competitive Monitoring Scraper
Query this niche via MCP
niche_report({ niche: "competitive-monitoring-scraper" })Agents · median
MCP servers · median
$59/mo
All plans — Agents vs MCPs
each dot = one provider · log scaleMCP servers $59
Apiclaw Api Server · $29
yappers · $59
Amazon Data · $99
$25
$50
$100
AgentsMCP serversshaded = middle half · line = median
All plans
3 pricedProvidervs its cohort medianMonthly
Apiclaw Api Servermcp
$29 below
yappersmcp
$59 ~median
Amazon Datamcp
$99 above
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": "competitive-monitoring-scraper",
"parent_sector": "sales-marketing-revops",
"provider_type_pricing": {
"slug": "competitive-monitoring-scraper",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 39,
"p25": null,
"p75": null,
"providers": 4
},
"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": 39,
"p25": null,
"p75": null,
"providers": 4,
"publishable": true,
"confidence": "provisional"
}
},
"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": [
"ai-marketing-mix-modelling",
"seo-content-agent",
"brand-mention-monitoring",
"ai-presentation-deck",
"ad-creative-generation",
"rfp-response"
],
"market_pulse": {
"pulse": 53,
"drivers": [
"enterprise money present"
],
"price_move_30d_pct": 0,
"money_share": 1,
"entry_rate": 0,
"alive_share": 1
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 4,
"quarantined_agents": 0,
"confidence": "high",
"published": {
"d": false,
"w": false,
"m": false
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
"d": null,
"w": null,
"m": null
},
"tier_contribution": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_series": {
"individual": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
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,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"team_sme": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
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,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
]
},
"tier_own_move": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 2,
"pro": 2,
"team_sme": 1,
"enterprise": 1
},
"obs_range": {
"d": null,
"w": null,
"m": null
},
"tier_obs_range": {
"d": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"w": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"m": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 7,
"observed": 4,
"byPersona": {
"free": {
"n": 3,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0.67
},
"individual": {
"n": 4,
"nPriced": 1,
"reliability": "none",
"median": 19,
"p25": 19,
"p75": 19,
"min": 19,
"max": 19,
"mean": 19,
"stdev": 0,
"usageShare": 0
},
"pro": {
"n": 6,
"nPriced": 4,
"reliability": "low",
"median": 79,
"p25": 51.5,
"p75": 99,
"min": 29,
"max": 99,
"mean": 71.5,
"stdev": 34.03,
"usageShare": 0
},
"team_sme": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 369,
"p25": 369,
"p75": 369,
"min": 369,
"max": 369,
"mean": 369,
"stdev": 0,
"usageShare": 0
},
"enterprise": {
"n": 4,
"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": 0.67,
"mixedBilling": true,
"monthlyComparable": false
},
"individual": {
"nMonthly": 1,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"pro": {
"nMonthly": 4,
"p25": 51.5,
"median": 79,
"p75": 99,
"confidence": "low",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
},
"team_sme": {
"nMonthly": 1,
"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": "ok",
"cohorts": [
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 59,
"provider_count": 3,
"plan_observation_count": 3,
"data_confidence": 0.23,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.15,
"provider_count": 3,
"plan_observation_count": 3
},
"reliability": "low",
"members": [
{
"provider": "apiclaw_api_server",
"usd": 29
},
{
"provider": "yappers",
"usd": 59
},
{
"provider": "amazon_data",
"usd": 99
}
]
}
],
"rejected": {
"ambiguous_cadence": 6,
"free_or_zero": 1,
"one_time": 5
},
"evidence": {
"status": "ok",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "amazon_data",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$99+/month",
"monthly_usd": 99
},
{
"provider": "apiclaw_api_server",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$29/month",
"monthly_usd": 29
},
{
"provider": "yappers",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$59 / month",
"monthly_usd": 59
}
]
},
{
"billing": "one_time",
"unit": "flat",
"count": 5,
"offers": [
{
"provider": "apiclaw_api_server",
"tier": "individual",
"billing": "one_time",
"unit": "flat",
"price": "$10",
"monthly_usd": null
},
{
"provider": "apiclaw_api_server",
"tier": "individual",
"billing": "one_time",
"unit": "flat",
"price": "$69",
"monthly_usd": null
},
{
"provider": "apiclaw_api_server",
"tier": "pro",
"billing": "one_time",
"unit": "flat",
"price": "$299",
"monthly_usd": null
},
{
"provider": "apiclaw_api_server",
"tier": "pro",
"billing": "one_time",
"unit": "flat",
"price": "$999",
"monthly_usd": null
},
{
"provider": "apiclaw_api_server",
"tier": "enterprise",
"billing": "one_time",
"unit": "flat",
"price": "$4499",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 6,
"offers": [
{
"provider": "amazon_all_in_one_scrape_mcp",
"tier": "individual",
"billing": "unspecified_period",
"unit": "flat",
"price": "$19",
"monthly_usd": null
},
{
"provider": "amazon_all_in_one_scrape_mcp",
"tier": "pro",
"billing": "unspecified_period",
"unit": "flat",
"price": "$99",
"monthly_usd": null
},
{
"provider": "amazon_all_in_one_scrape_mcp",
"tier": "team_sme",
"billing": "unspecified_period",
"unit": "flat",
"price": "$369",
"monthly_usd": null
},
{
"provider": "amazon_all_in_one_scrape_mcp",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "amazon_data",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact Us",
"monthly_usd": null
},
{
"provider": "yappers",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom pricing",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 4,
"normalized_observations": 3,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"ambiguous_cadence": 6,
"free_or_zero": 1,
"one_time": 5
}
}
}
},
"billingMix": {
"subscription": 2,
"freemium": 2
},
"freeTierShare": 0.5,
"medianLowestUsd": 39
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-08-01",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-06",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-08",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-09",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-10",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-11",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-12",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-13",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-14",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-15",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-16",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-17",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-18",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-19",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-20",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-21",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-22",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-23",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-24",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-25",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-26",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-08-27",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-28",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-29",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-30",
"index": 100,
"pairs": 5,
"dayChangePct": 0
}
],
"latest": 100,
"day_change_pct": 0,
"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": "amazon_data",
"name": "amazon-data",
"url": "https://www.canopyapi.co/",
"short_summary": "provides real-time access to Amazon product data including pricing, reviews, sales estimates, and product information",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 99,
"monthly_usd": 99,
"headline": "Free tier, then from $99/mo",
"summary": "Free tier, then from $99/mo. Canopy offers a permanent free tier, pay-as-you-go pricing from $0+/month with per-request charges, a Premium tier from $99+/month, and custom enterprise pricing."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "apiclaw_api_server",
"name": "Apiclaw",
"url": "https://apiclaw.io",
"short_summary": "provides real-time Amazon data API for AI agents including product data, market analysis, competitor monitoring, pricing analysis, and review intelligence",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 10,
"monthly_usd": 10,
"headline": "Free tier, then from $10/mo",
"summary": "Free tier, then from $10/mo. APICLaw offers one-time credit packages from $10 and web access ranging from a free plan to Pro at $29/month."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "yappers",
"name": "TopYappers",
"url": "https://www.topyappers.com",
"short_summary": "influencer marketing platform for finding creators, managing outreach, and campaign analytics",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 59,
"monthly_usd": 59,
"headline": "From $59/mo",
"summary": "From $59/mo. The full product costs $59 per month month-to-month or $25 per month when billed yearly ($299 annually), while enterprise pricing is custom."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "competitortracker",
"name": "Competitortracker",
"url": "https://competitortracker.io/docs/mcp/",
"short_summary": "Competitor Tracker & Co. watches your competitors' websites and tells you what changed. Every week it crawls their pricing, product, messaging and corporate pa…",
"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": "amazon_all_in_one_scrape_mcp",
"name": "amazon-all-in-one-scrape-mcp",
"url": "https://pangolinfo.com",
"short_summary": "All-in-one Amazon scraping MCP for real-time ad tracking, keyword monitoring, and VOC review intelligence.",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 19,
"monthly_usd": 19,
"headline": "From $19/mo",
"summary": "From $19/mo. Pangolinfo publicly lists three unlabeled prices, a custom option, and a pay-as-you-go rate, but the supplied pricing text does not specify plan periods."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "sepet",
"name": "Sepet",
"url": "https://www.sepetanalizi.com",
"short_summary": "tracks food prices of over 140 food products at Turkish supermarkets over time",
"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": "low",
"upvotes": 0
},
{
"agent_id": "sycm_cli",
"name": "Sycm",
"url": "https://github.com/rakei076/sycm-cli",
"short_summary": "CLI tool for extracting Taobao/Tmall shop operational data (customer service, reviews, sales, products) and exporting to Excel. Designed for AI agents to analy…",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GitHub offers a permanent Free plan, a Team plan at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [
{
"agent_id": "lead_gen_google_maps",
"name": "Lead Gen Google Maps",
"url": "https://github.com/Awaisali36/Lead-Generation-System-using-Google-Map",
"short_summary": "Conversational AI agent that extracts and enriches B2B leads from Google Maps via natural language chat. Automates scraping, email enrichment, and Google Sheet…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No reliable public pricing for the Google Maps AI Agent was identified in the supplied context."
},
"home_niche": "outbound-sales-sdr",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "nimbleway",
"name": "Web Search Agents",
"url": "https://nimbleway.com/",
"short_summary": "runs Web Search Agents to search, extract, and process live web data into structured datasets",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free tier + paid plans (price not published)",
"summary": "Nimble offers 5,000 free requests per month, usage-based API pricing from $1 per 1,000 requests, and custom enterprise plans."
},
"home_niche": "web-search-api",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "serpapi",
"name": "SerpApi",
"url": "https://serpapi.com/",
"short_summary": "Scrapes Google and other search engines and returns parsed search results as structured JSON via a real-time API",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 25,
"monthly_usd": 25,
"headline": "Free tier, then from $25/mo",
"summary": "Free tier, then from $25/mo. SerpAPI offers a freemium model with a free tier (250 searches/month) and paid plans from $25–$275/month based on search volume and throughput, plus custom enterprise pricing."
},
"home_niche": "web-search-api",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "traxio",
"name": "Traxio",
"url": "https://traxio.ai/",
"short_summary": "AI social GTM team for founders that posts content in your voice, identifies buyers showing intent across 30+ signals, and starts conversations from your profi…",
"price": {
"observed": false,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "Freemium SaaS with a $99/month Founder tier (per seat) after a 7-day free trial; Team plan requires contacting sales."
},
"home_niche": "outbound-sales-sdr",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/competitive-monitoring-scraper",
"summary": {
"niche": "competitive-monitoring-scraper",
"sector": "sales-marketing-revops",
"pricing_by_provider_type": {
"headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: MCP servers · Pro median $59/mo (3 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
"benchmarks": [
{
"provider_type": "mcp",
"provider_type_label": "MCP servers",
"buyer_tier": "pro",
"buyer_tier_label": "Pro",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 3,
"reliability": "low",
"median": 59,
"p25": null,
"p75": null,
"status": "median_only"
}
],
"warnings": [
"This niche currently has sufficient MCP pricing but insufficient agent pricing."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "competitive-monitoring-scraper"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/competitive-monitoring-scraper",
"counts": {
"listings_with_price_capture": 7,
"listings_with_observed_public_price": 4,
"providers_with_numeric_monthly_price_latest_scan": null,
"like_for_like_comparable_pairs": null
},
"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": "ok",
"pricing_by_tier": [
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 59,
"provider_count": 3,
"plan_observation_count": 3,
"data_confidence": 0.23,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.15,
"provider_count": 3,
"plan_observation_count": 3
},
"reliability": "low",
"members": [
{
"provider": "apiclaw_api_server",
"usd": 29
},
{
"provider": "yappers",
"usd": 59
},
{
"provider": "amazon_data",
"usd": 99
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 7,
"listings_with_observed_public_price": 4,
"normalized_observations": 3,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"ambiguous_cadence": 6,
"free_or_zero": 1,
"one_time": 5
}
},
"pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
"pricing_excluded_observations": {
"ambiguous_cadence": 6,
"free_or_zero": 1,
"one_time": 5
},
"billing_mix": {
"subscription": 2,
"freemium": 2
},
"free_tier_share": 0.5,
"top_providers": [
{
"agent_id": "amazon_data",
"name": "amazon-data",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 99,
"monthly_usd": 99,
"headline": "Free tier, then from $99/mo",
"summary": "Free tier, then from $99/mo. Canopy offers a permanent free tier, pay-as-you-go pricing from $0+/month with per-request charges, a Premium tier from $99+/month, and custom enterprise pricing."
},
"observed": true
},
{
"agent_id": "apiclaw_api_server",
"name": "Apiclaw",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 10,
"monthly_usd": 10,
"headline": "Free tier, then from $10/mo",
"summary": "Free tier, then from $10/mo. APICLaw offers one-time credit packages from $10 and web access ranging from a free plan to Pro at $29/month."
},
"observed": true
},
{
"agent_id": "yappers",
"name": "TopYappers",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 59,
"monthly_usd": 59,
"headline": "From $59/mo",
"summary": "From $59/mo. The full product costs $59 per month month-to-month or $25 per month when billed yearly ($299 annually), while enterprise pricing is custom."
},
"observed": true
},
{
"agent_id": "competitortracker",
"name": "Competitortracker",
"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": "amazon_all_in_one_scrape_mcp",
"name": "amazon-all-in-one-scrape-mcp",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 19,
"monthly_usd": 19,
"headline": "From $19/mo",
"summary": "From $19/mo. Pangolinfo publicly lists three unlabeled prices, a custom option, and a pay-as-you-go rate, but the supplied pricing text does not specify plan periods."
},
"observed": true
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "competitive-monitoring-scraper"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "competitive-monitoring-scraper",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "amazon_data"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "amazon_data"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
4 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
amazon-dataprovides real-time access to Amazon product data including pricing, reviews, sales estimates, and product information
Apiclawprovides real-time Amazon data API for AI agents including product data, market analysis, competitor monitoring, pricing analysis, and review intelligence
TopYappersinfluencer marketing platform for finding creators, managing outreach, and campaign analytics
amazon-all-in-one-scrape-mcpAll-in-one Amazon scraping MCP for real-time ad tracking, keyword monitoring, and VOC review intelligence.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.