Apify Actor Idea Validator

Assess one proposed Apify Actor idea against the public Apify Store. The Actor uses only GET https://api.apify.com/v2/store, applies the contract-scoped local scoring rules, and returns one report row when the idea has enough evidence.

What you get

• Compares your idea to public Store actors by title, description, keywords and categories.
• Scores the Store cohort with the shared market formula from the Wave 3 contract.
• Returns a single dataset report row with:
  • the closest public actors
  • the similarity threshold outcome
  • a validate / refine / reject recommendation
  • the derived opportunity score and source metrics
• Writes the compact run summary to default KVS key OUTPUT.

How to use

1. Click Try for free and provide a proposed Actor idea.
2. Set a unique requestId, then choose compact or evidence detail.
3. Start the run and read the useful report row from the dataset or the compact summary from OUTPUT.

Limits

• Public Store API only
• No LLM
• No login, token, proxy or browser
• requestId is required for replay/conflict semantics
• maxResults caps the detailed evidence list, not the number of dataset rows
• freshnessMinutes=0 bypasses report-cache reuse

Pricing

Pay-per-event:

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

Only a confirmed useful report emits the result-found event. Failed validation, missing evidence, source errors, budget denial, and an indeterminate delivery do not emit a second charge. The business envelope is written to KVS key OUTPUT; replaying the same requestId never writes or charges again.

Input

{
  "schemaVersion": "1.0",
  "requestId": "idea-001",
  "maxResults": 10,
  "freshnessMinutes": 60,
  "detailLevel": "compact",
  "idea": {
    "title": "Apify Store Opportunity Scanner",
    "description": "Scan public actors and rank market opportunities.",
    "keywords": ["store", "pricing", "opportunity"],
    "categories": ["MCP_SERVERS", "DEVELOPER_TOOLS"]
  }
}

Output

Dataset row example:

{
  "schemaVersion": "1.0",
  "requestId": "idea-001",
  "reportType": "idea_validation",
  "generatedAt": "2026-07-31T00:00:00.000Z",
  "sampleConfidence": "low",
  "idea": {
    "title": "Apify Store Opportunity Scanner",
    "description": "Scan public actors and rank market opportunities.",
    "keywords": ["store", "pricing", "opportunity"],
    "categories": ["MCP_SERVERS", "DEVELOPER_TOOLS"]
  },
  "assessment": {
    "recommendation": "refine",
    "closestSimilarity": 0.42,
    "matchedActorCount": 7,
    "opportunity": {
      "score": 58.4
    },
    "closestActors": []
  }
}

The result row is derived only from public Store evidence. Missing fields stay null. No revenue, profit, or private-account data is inferred.

Related tools

Related tools for adjacent workflows in in-house factory tooling.

Actor	What it does
Apify Market Gap Finder	Pair it in the in-house factory tooling workflow: Compare user-declared niches against the public Apify Store and rank evidence-backed market gaps
Apify Pricing Benchmark Advisor	Pair it in the in-house factory tooling workflow: Summarize visible public Apify Store event-price distributions for a declared cohort
Apify Niche Demand Radar	Pair it in the in-house factory tooling workflow: Produce a current demand-direction snapshot for one declared niche using observed public Apify Store user...
Apify Portfolio Expansion Planner	Pair it in the in-house factory tooling workflow: Rank user-supplied candidate niches by public Store opportunity and textual adjacency to a user-supplied...

FAQ / Support

Does it invent market facts? No. Scores and recommendations use only fields observed in the public Store response.

What this is NOT. It is not a revenue forecast, product-success guarantee, or private-account auditor. Report bugs through the Actor page.