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Phishing Exercises String Normalisation + Two-Measure Correlation
x402
Phishing Exercises String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Normalises strings and computes two-measure correlation (messages_delivered vs reported_messages) for up to 200 rows of phishing exercise records, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Phishing exercises — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied phishing exercises records (messages_delivered, reported_messages). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns 2 analytical reports: (1) a string normalisation report cleaning and standardising text fields across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between messages_delivered and reported_messages across up to 200 supplied rows. No external lookups or predictions are included.
Example use cases
Security awareness campaign correlation
“We ran phishing simulations across two groups in Q4 — I have up to 50 rows with dates, messages delivered, and how many were reported. Can you normalize the data and tell me how strongly reporting correlates with delivery volume for each group?”
Phishing exercise reporting rate analysis
“I've got 120 rows of phishing drill results from our employee security training, each with a row_id, control_group, date, messages_delivered, and reported_messages. Please normalize strings and compute the two-measure correlation between delivered and reported counts.”
Multi-group phishing simulation comparison
“Here are 80 records from our phishing exercises spanning three control groups over six months — can you run string normalization and a two-measure correlation to see how messages_delivered relates to reported_messages across the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-14-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular phishing exercise records (up to 200 rows) with messages_delivered and reported_messages columns and need both string normalisation and a correlation analysis in a single call for a flat $0.01 USDC fee. It is ideal for security teams reviewing phishing simulation outcomes without needing live lookups, external predictions, or professional assessments.
Side effects
- Fewer than 1 row submitted — minItems violation
- More than 200 rows submitted — maxItems violation
- Missing required fields (row_id, date, messages_delivered, reported_messages) on any row
- Date field not matching YYYY-MM-DD pattern — validation error
- Non-numeric values in messages_delivered or reported_messages fields
- Payment failure — 0.01 USDC not provided via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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