{"uid":"cap_XJbN8ilAKbYXPBl61_T0l","slug":"preplayer-ai-entity-extractor-e6a32c2a","name":"PrepLayer.ai Entity Extractor","description":"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.","url":"https://api.maximusmediahouse.com/v1/extract?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","description":"Source text (1-100000 chars)."},"types":{"type":"array","items":{"type":"string"},"description":"Optional subset of: email, url, ipv4, phone, money, date_iso, uuid, evm_address, sku, semver"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_x8Hx72VZnKNsSn3j1Gy3H","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts structured fields (emails, URLs, IPs, phones, money, ISO dates, UUIDs, EVM addresses, SKUs, semver) with byte offsets and normalized values from unstructured text.","exampleAgentPrompt":"Scan this raw email thread and pull out all email addresses, phone numbers, and money amounts — with their exact positions in the text and normalized values: [paste text here].","exampleUseCases":[{"title":"Invoice data extraction pipeline","prompt":"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."},{"title":"Blockchain address harvesting from reports","prompt":"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."},{"title":"Log file entity parsing","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:35:21.938Z","isFirstParty":false,"canonicalSlug":"preplayer-ai-entity-extractor-e6a32c2a"}