Unverified50% confidenceFactExact time
Idempotent design ensures that repeated calls with the same request ID return the same result without repeatedly deducting inventory or generating multiple orders; common implementations include database unique constraints, Redis deduplication keys (such as SETNX) and request fingerprint comparison.
1
Sources
50%
Confidence
Long-term
Relevance
10/24/2026
First Seen
Sources
Hands-On Review of an Open-Source Multi-Agent Business Simulation Project
bilibili氪金氪氪氪氪10/17/2026
Related Entities
Related Claims
VerifiedCommon methods for achieving idempotency include assigning a unique request ID (idempotency key) to each write operation, or using conditional writes (compare-and-swap) that only execute when the target data is in the expected state.76% similarUnverifiedBusiness invariants (such as available stock cannot be negative and retrying an API request must not create duplicate orders) should be reflected in both application logic and database constraints.71% similarUnverifiedd1-ultra supports posing multiple questions about the same input within a single request and returning their respective probabilities.67% similarUnverifiedA deduplication key is the set of fields used at data ingestion or query time to determine whether two records 'belong to the same one', and it directly determines the database's UNIQUE constraints, the ETL merge logic, and the API's returned set.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1093023API
curl https://kongchang.com/api/v1/knowledge/claims/1093023MCP
get_claim(id=1093023)