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Apify Pricing Benchmark Advisor

Pricing

Pay per event

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Apify Pricing Benchmark Advisor

Apify Pricing Benchmark Advisor

Summarize visible public Apify Store event-price distributions for a declared cohort. Public Store API only, no LLM.

Pricing

Pay per event

Rating

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Developer

Tim Zinin

Tim Zinin

Maintained by Community

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4 days ago

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Summarize visible public Apify Store event-price distributions for a declared cohort. The Actor uses only GET https://api.apify.com/v2/store. It returns observed percentiles and transparent samples without inferring revenue or willingness to pay.

Pricing

Pay-per-event:

  • apify-actor-start: $0.005
  • result-found: $0.05

What you get

  • Visible event-price observations from a declared public Store cohort.
  • Exact min, percentile, median, and maximum statistics.
  • Event filtering that excludes synthetic dataset events from benchmark samples.
  • One compact dataset report and a replay-safe OUTPUT summary.

How to use

  1. Click Try for free and enter a Store cohort query.
  2. Choose start, non_start, or all, then set a unique requestId.
  3. Start the run and read the observed distribution from the dataset row.

Input

{
"schemaVersion": "1.0",
"requestId": "price-001",
"query": "store pricing",
"categories": ["MCP_SERVERS"],
"eventSelector": "non_start",
"maxResults": 10,
"freshnessMinutes": 60,
"detailLevel": "compact"
}

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FAQ / Support

Does this infer a profitable price? No. It reports only event prices visibly returned by the Store.

What this is NOT. It is not a revenue model, willingness-to-pay study, or private pricing inspector. Report bugs through the Actor page.

start selects only apify-actor-start; non_start selects custom events and excludes apify-default-dataset-item; all combines those sets. The business envelope is written to KVS key OUTPUT and is replay-safe by requestId.

Output

{
"schemaVersion": "1.0",
"requestId": "price-001",
"reportType": "pricing_benchmark",
"generatedAt": "2026-07-31T00:00:00.000Z",
"sampleConfidence": "low",
"query": "store pricing",
"eventSelector": "non_start",
"currency": "USD",
"priceObservationCount": 5,
"priceStats": { "min": 0.01, "p25": 0.02, "median": 0.03, "p75": 0.04, "max": 0.05 },
"recommendation": { "floor": 0.02, "target": 0.03, "ceiling": 0.04, "basis": "observed_p25_median_p75" },
"opportunity": { "score": 52.1 },
"samples": []
}