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Cache Observations Exact Row Deduplication
x402
Cache Observations Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Removes duplicate rows from a batch of cache observation records (hits/misses by date and cache group) and returns a deduplication report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cache observations - Exact row deduplication: Exact row deduplication for Cache observations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded exact row deduplication report.
Output
A bounded deduplication report identifying exact duplicate rows among the submitted cache observation records. The response indicates which rows (by row_id) are duplicates and which are unique, enabling downstream data cleaning or ingestion workflows.
Example use cases
Clean up repeated cache metrics pipeline output
“I've got a list of cache observation rows from our data pipeline that has some exact duplicates — each row has a row_id, cache name, date, hits, and misses. Can you run deduplication on them and tell me which rows are redundant?”
Validate uniqueness before database ingestion
“Before I load these cache hit/miss records into our database, I want to make sure there are no exact duplicate rows. Can you check this batch of up to 200 cache observations and flag any duplicates?”
Audit cache monitoring logs for data quality
“Our cache monitoring export for the past month has rows for different cache groups with daily hits and misses counts, and I suspect there are duplicates. Can you run exact row deduplication and show me what got removed?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-cache-observations-deduplicate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a small-to-medium batch (up to 200 rows) of cache hit/miss observations and need a fast, cheap ($0.01) exact row deduplication report without any enrichment, forecasting, or fuzzy matching. It is purpose-built for cache analytics data with the specific schema of row_id, cache group, date, hits, and misses — ideal for data pipeline hygiene checks before database ingestion.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, cache, date, hits, misses) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation rejection
- row_id empty string — minLength violation
- Payment not fulfilled — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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