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PrepLayer.ai Entity Extractor
x402
PrepLayer.ai Entity Extractor is a paid API for AI agents from api.maximusmediahouse.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-29).
Extracts structured fields (emails, URLs, IPs, phones, money, ISO dates, UUIDs, EVM addresses, SKUs, semver) with byte offsets and normalized values from unstructured text.
Price / call$0.005
Success—
StatusUnknown
How this service works
Extract structured fields from unstructured text with byte offsets and normalized values: emails, URLs, IPv4, phones, money amounts, ISO dates, UUIDs, EVM addresses, SKUs, semver.
Output
Returns a list of extracted entity objects, each containing the entity type, the raw matched string, its normalized/canonical value, and the start and end byte offsets within the source text. Only entity types requested (or all by default) are returned.
Example use cases
Invoice data extraction pipeline
“Take this raw invoice text and extract all money amounts, ISO dates, and email addresses from it — I need their byte positions too so I can highlight them in the UI.”
Blockchain address harvesting from reports
“Go through this crypto research report and find every EVM wallet address and UUID mentioned — give me the normalized values and where exactly in the text each one appears.”
Log file entity parsing
“Parse this server log dump and pull out all IPv4 addresses, semver version strings, and ISO timestamps — filter to just those three types and normalize each one.”
Technical details
Endpoint
POSThttps://api.maximusmediahouse.com/v1/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based extraction of well-defined structured entity types (emails, phones, IPs, etc.) from arbitrary text with precise byte offsets for downstream highlighting or span-level processing. Prefer it over LLM-based extraction when you need consistent, reproducible results with exact character positions and normalized output formats. It is better than regex-only pipelines because it handles normalization automatically across multiple entity types in a single call.
Side effects
- Text exceeds 100,000 character limit — returns validation error
- Invalid entity type string in 'types' array — may return error or be silently ignored
- Ambiguous patterns (e.g. phone numbers without country codes) may produce false positives or be missed
- Non-UTF-8 encoded text may cause byte offset misalignment
- Empty text input returns empty results array
- Malformed input JSON returns 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Source text (1-100000 chars). |
| types | array | Optional subset of: email, url, ipv4, phone, money, date_iso, uuid, evm_address, sku, semver |
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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