Apify builder
Matteo Messina Deterministic evidence and decision infrastructure for AI agents, research workflows, eligibility checks, and machine-readable automation.
Leaderboard position
out of 6,961
New actors
#431
Total actors
#1,567
↓ -96
Monthly users
#2,017
↓ -126
Total users
#3,378
↓ -147
Monthly runs
#2,737
↑ +1,014
Total runs
#4,995
↑ +367
Portfolio stats
New actors
5
Total actors
5
+0
Monthly users
5
+0
Total users
10
+0
Monthly runs
75
↑ +45
Total runs
99
↑ +45
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
4 of 5 actors cover 80%+ of monthly users.
Audit whether an API or repository is ready for machine discovery across OpenAPI, MCP, A2A, and Apify. Returns deterministic READY, PARTIAL, or BLOCKED findings with remediation.
20%
users
Preflight an AI agent task before expensive execution. Check requirements, evidence, required sources, freshness and known budget, then return CAN_DO, PARTIAL or CANNOT_VERIFY.
20%
users
Monitor whether a previously justified structured decision still holds after evidence, assumptions or blockers change. Returns deterministic deltas and replay-safe checkpoints.
20%
users
Verify whether caller-supplied research evidence is sufficient, independent, fresh, and non-contradictory. Returns SUPPORTED, UNRESOLVED, or INSUFFICIENT_EVIDENCE with missing evidence and a confidence ceiling.
20%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
