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Network Throughput String Normalisation
x402
Network Throughput String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Normalises string fields (network interface names, dates, IDs) across up to 200 network throughput records and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Network throughput - String normalisation: String normalisation for Network throughput. 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 string normalisation report.
Output
A bounded string normalisation report covering up to 200 submitted network throughput records, with local descriptive analytics on the string fields (row_id, network_interface, date). No external enrichment or forecasting is included.
Example use cases
Cleaning messy interface name labels
“I've got a bunch of network throughput rows where the interface names are inconsistently formatted — things like 'eth0', 'ETH0', and 'Eth-0' all meaning the same thing. Can you run string normalisation on my 50 records and give me back a clean report?”
Pre-analysis data quality check
“Before I run my network usage analysis, can you normalise all the string fields in my throughput dataset? I have about 120 rows with columns for row ID, interface name, date, ingress bytes, and egress bytes.”
Auditing network log string consistency
“I pulled network logs for 15 interfaces over 10 days — that's 150 rows — and I want to make sure the date strings and interface identifiers are all consistently formatted. Can you run a string normalisation report on them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-network-throughput-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to clean and standardise string fields (interface names, row IDs, dates) in network throughput records before downstream analysis. It is best for small-to-medium batches (up to 200 rows) requiring local descriptive analytics without any external data enrichment, forecasting, or enrichment lookups.
Side effects
- Empty rows array — must supply at least 1 row
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field with minLength 1
- ingress_bytes or egress_bytes outside ±1,000,000,000,000 range
- Malformed JSON body — returns 4xx error
- Payment failure — x402 payment not accepted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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