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Provably-Fair Multi-Winner Picker
x402
Provably-Fair Multi-Winner Picker is a paid API for AI agents from pyfile-agent.taile3ff35.ts.net:10000, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Selects N distinct winners from a candidate list using a provably-fair, seeded random algorithm with verifiable results
Price / call$0.005
Success—
StatusUnknown
How this service works
Provably-fair selection of N distinct winners from a list. ?candidates=a,b,c&count=2&round=1&client_seed=s&nonce=1
Output
Returns a list of N distinct selected winners from the candidate list, along with the randomness inputs (round, client seed, nonce) used to produce the selection, allowing anyone to independently verify the fairness of the draw by re-running with the same parameters.
Example use cases
NFT giveaway winner selection
“I have 50 wallet addresses entered in my NFT giveaway and need to pick 5 winners fairly. Can you run a provably-fair draw from this list: 0xAAA, 0xBBB, 0xCCC, ... using round 1, client seed 'nftdrop2024', and nonce 1?”
Community raffle with auditable draw
“Run a fair raffle to pick 2 winners from these Discord members: alice, bob, carol, dave, frank, grace — use round 3, client seed 'communitydraw', nonce 7, so the community can verify no one cheated.”
Tournament bracket random seeding
“Randomly select 4 teams from our 10 participants to get first-round byes in the tournament — candidates are TeamA through TeamJ, round 1, client seed 'bracket2025', nonce 1, and I need to be able to prove the draw was fair.”
Technical details
Endpoint
GEThttps://pyfile-agent.taile3ff35.ts.net:10000/data/fair/pick-manyWhen to prefer
Choose this endpoint when you need verifiable, tamper-proof random selection of multiple distinct winners from a list — especially for public-facing giveaways, raffles, contests, or lotteries where participants demand proof the draw wasn't manipulated. The client seed and nonce parameters let any party independently reproduce and verify the exact result. Prefer over naive random selection whenever auditability and trust matter.
Side effects
- Count exceeds number of candidates — cannot pick more distinct winners than there are entries
- Missing required parameters (candidates, count, round, client_seed, nonce) returns an error
- Duplicate candidate names may affect distinct selection behavior
- Very large candidate lists may cause timeout or truncation
- Invalid or empty candidate list returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
Reviews
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