31 Services from api.pay-forge.online

Fetches a URL and converts it into chunked, entity-tagged document form ready for evidence extraction, field comparison, and downstream analysis.

Parses and chunks a text document, extracting entities (URLs, dates, money, emails, EVM addresses) and returning a content hash for downstream analysis tasks.

Parses and chunks raw HTML into clean text, extracts entities (URLs, dates, money, emails, EVM addresses), and returns structured document metadata ready for downstream analysis.

Extracts and returns all structured data (e.g. JSON-LD, Microdata, RDFa) embedded in a supplied HTML document as typed, validated JSON objects.

Converts raw HTML markup into clean, readable plain text by stripping tags and resolving relative URLs.

Fetches a URL and returns its content as clean Markdown text, for use in document analysis, evidence extraction, and API inspection workflows.

Converts raw HTML into clean Markdown text, resolving relative links against an optional base URL.

Searches supplied documents for evidence matching a query, compares snapshots, extracts typed JSON fields, and inspects x402 payment quotes and API migration details.

Extracts typed data entities (URLs, dates, money amounts, emails, EVM addresses) from a supplied text document into structured JSON.

Extracts and returns all hyperlinks (URL and anchor text) from a supplied HTML document string

Converts CSV-formatted text into structured JSON with typed rows and column names

Fetches a URL and returns its plain-text content, enabling document analysis, evidence extraction, and snapshot comparison workflows.

Parses and repairs malformed JSON text, returning the corrected JSON value along with a list of changes made.

Compares two text snapshots (baseline vs candidate) and produces a structured JSON report of what changed, the likely impact, and migration considerations

Strips and normalizes whitespace/formatting from raw text, returning the cleaned version along with before/after character counts.

Computes word counts and similarity score between two text snippets

Extracts typed JSON field values from a text document using JSON Pointer paths

Extracts typed fields from a supplied JSON document using RFC 6901 JSON Pointer paths and returns the resolved values as structured JSON

Previews the cost, inputs, and evidence for a document analysis or x402 API call before committing payment

Extracts structured metadata (title, description, language, canonical URL, meta tags) from a supplied HTML document string.

Extracts and normalizes typed JSON fields from unstructured or semi-structured text input, returning a parsed JSON object.

Splits a long text string into overlapping fixed-size chunks with character offsets and indices

Analyzes supplied documents to find evidence, compare baseline/candidate snapshots, extract typed JSON fields, and assess API migration compatibility—including x402 payment quote inspection.

Extracts typed JSON fields (URLs, money amounts, emails, etc.) from supplied text documents up to 50,000 characters

Identifies and removes duplicate string items from a list, returning unique entries and a map of which items are duplicates of which.

Accepts a list of up to 100 URLs and returns the unique set along with indices identifying which items are duplicates and what they duplicate.

Fetches and extracts structured metadata (title, description, language, canonical URL, meta tags) from a supplied webpage URL

Validates and gates catalog updates derived from Apify product scrapes by comparing current vs previous snapshots against a typed contract schema, extracting fields, and assessing cost before committing changes.

Parses and normalizes an absolute HTTP/HTTPS URL into a canonical form and returns its SHA-256 hash — syntax-only, no live web request.

Normalizes and cleans text from supplied documents, stripping formatting noise to prepare for further extraction or comparison tasks.

Normalizes and cleans up to 100 text strings in a single batch call, returning standardized text results.