Data x402 offerings

Don't guess which forecasting method to trust. Backtest all four (naive/drift, SES, Holt, Holt-Winters) on a real series, rank by out-of-sample RMSE, then forecast forward with the winner and its 95%…

Validate CSV structure: consistent column counts across rows, properly closed quotes, delimiter detection. Returns row/column counts and any structural errors. Pure CPU.

Split text into overlapping chunks for RAG ingestion - by characters (default) or by exact LLM tokens. Returns the chunks plus offsets. Deterministic, no model needed.

Extract a value from JSON by dot/bracket path, e.g. "items[2].name".

Parse CSV (quoted fields supported) into a JSON array of objects, using the first row as headers (header=false for arrays).

Deep-merge two JSON objects (b wins on conflicts; arrays are concatenated).

Convert a JSON array of objects into CSV text with a header row. Flatten structured data for spreadsheets and exports.

Convert CSV text (first row = headers) into a JSON array of row objects. Parse spreadsheets and exports into structured data.

Turn messy text into clean JSON. Pass text plus a field `schema` or plain `instructions`; get a validated JSON object back. Uses the provider JSON mode.

Fetch a URL and extract exactly the JSON you ask for. Pass a field `schema` (or `instructions`) and get a validated JSON object pulled from the page content.

Convert CSV text (first row = headers) into a JSON array of row objects. Parse spreadsheets and exports into structured data.

Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresse…

Turn messy text into clean JSON. Pass text plus a field `schema` or plain `instructions`; get a validated JSON object back. Uses the provider JSON mode.

Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.

Convert a JSON array of objects into CSV text with a header row. Flatten structured data for spreadsheets and exports.

Convert an XML document into an equivalent JSON object. Parse XML feeds, SOAP responses and config into JSON.

Doc Tools: Parse an RSS, Atom or JSON Feed into normalized JSON items.

Parse any RSS, Atom or RDF feed into normalized JSON: feed title, description and up to 100 items with title, link, publish date, author, summary and categories. Ideal for agents monitoring news sources, blogs and changelogs.

Extract and validate structured expense data from receipt text or a provider-neutral receipt extraction. Use when an agent needs merchant, date, tax, total, line items, confidence, duplicate detectio…

Create an email validation job from a JSON list of addresses or CSV text (send exactly one). Poll its status, then fetch results as JSON or CSV. Billing counts only testable addresses, fixed at creat…

Create an email validation job from a JSON list of addresses or CSV text (send exactly one). Poll its status, then fetch results as JSON or CSV. Billing counts only testable addresses, fixed at creat…

Create an email validation job from a JSON list of addresses or CSV text (send exactly one). Poll its status, then fetch results as JSON or CSV. Billing counts only testable addresses, fixed at creat…

Create an email validation job from a JSON list of addresses or CSV text (send exactly one). Poll its status, then fetch results as JSON or CSV. Billing counts only testable addresses, fixed at creat…

Create an email validation job from a JSON list of addresses or CSV text (send exactly one). Poll its status, then fetch results as JSON or CSV. Billing counts only testable addresses, fixed at creat…