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Netzhandwerker Traffic Classifier
x402
Netzhandwerker Traffic Classifier is a paid API for AI agents from tools.halowerk.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-12).
Classifies web access log records into human vs. bot clients with multi-signal scoring, grouping records by IP/user-agent and explaining each classification signal.
Price / call$0.004
Success—
StatusUnknown
How this service works
Groups the access records you pass into clients and sorts each in two stages: person or machine, then, for a machine, the purpose. Signals: cadence and its scatter, path shape and consecutive numeric runs, asset share, referer, method mix, not-found share, robots.txt, user agent product token. Each signal returns what was observed, its weight and why. A lead under two points stays unknown. Nothing is stored, no raw IP is returned: IPv4 cut to /24, IPv6 to /48.
Output
Returns grouped client records with a two-stage classification (person or machine, then machine purpose), a numeric lead score, and per-signal breakdowns showing the observed value, weight, and rationale. Clients with a lead under two points remain 'unknown'. IPv4 addresses are truncated to /24, IPv6 to /48. No raw IPs or raw data are stored.
Example use cases
Bot detection for e-commerce site
“Here are the last 2000 access log entries from our online store — please group them by IP and user agent, classify each client as human or bot, and explain the signals that led to each decision. Flag anything that looks like a scraper or crawler.”
Security audit of API gateway logs
“I've got server logs from our API gateway for the past 6 hours. Can you analyze them to find which clients are automated versus real users, using a session gap of 30 minutes and only reporting clients with at least 5 requests?”
Content publisher blocking suspicious crawlers
“We're seeing unusual traffic on our news site. Here are the access records — group them by IP only, classify each as human or machine, and tell me which ones appear to be unauthorized scrapers based on path patterns and request cadence.”
Technical details
Endpoint
POSThttps://tools.halowerk.com/v1/traffic/classify?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw web access logs and need explainable, signal-based bot/human classification without storing any PII. It is especially useful when you want per-signal reasoning (not just a binary label), need privacy-preserving IP anonymization, or want to handle batches up to 2000 records in a single call. Prefer it over generic IP reputation lookups when cadence patterns, path shape, and method mix matter for your classification logic.
Side effects
- Request body exceeds 256 KB limit — reduce record count or field verbosity
- Records missing required 'path' or timestamp fields are rejected
- Unrecognized field names in records cause rejection rather than silent ignore
- Fewer than min_requests_per_client requests causes client to be skipped and counted in clients_skipped
- max_clients or session_gap_s outside allowed ranges returns validation error
- Malformed ISO 8601 timestamps or negative Unix timestamps cause parse errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| group_by | string | How records are grouped into clients. |
| requests | array | Access records. Each needs path and either time_unix_s or time. The service caps the whole request body at 256 KB, so long records reach that limit before maxItems. |
| max_clients | integer | How many clients are reported, largest first. |
| session_gap_s | integer | Silence after which the next request starts a new session. |
| min_requests_per_client | integer | Clients below this many requests are skipped and counted in clients_skipped. |
Tags
x402
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