Data x402 offerings

Use this service before importing CSV to check data quality: missing cells, duplicate rows, required columns and declared string, integer, number, boolean or date types. Provide raw CSV with unique headers; comma, semicolon and tab delimiters supported. Max 1 MiB UTF-8, 10000 data rows and 100 columns. No URL fetching. Invalid business data returns valid=false.

Pearson correlation coefficient between two equal-length numeric series. Returns r (the correlation, -1 to 1), r² (variance explained), n (sample size). Use this to ask things like: is a stock's daily return correlated with a macro indicator? Are two FRED series moving together?

Prüft am Objekt news-dokument den Befund Zahl der Adressparameter.

Prüft am Objekt url-regel den Befund selbstreferenzierende kanonische Adresse.

Prüft am Objekt seite den Befund Zahl der Adressparameter.

Normalized crime profile for one FBI reporting agency by ORI code. Give an ORI and an optional offense and get the agency's multi-year annualized offense rates per 100,000 people, the latest complete reporting year, the trend and the data as-of date. The raw grain behind crime/location, without geocoding.

National or state baseline crime rates for an offense and window from public FBI UCR and NIBRS data. Give an offense and an optional 2-letter state and get the annualized rate per 100,000 people by year, for anchoring a local score. Deterministic, no AI.

Recent incident density for a supported US city from its open-data portal. Give a city slug and an optional look-back window in days and get aggregated counts of reported incidents by offense category, a fresher signal than the lagged federal data. Counts by type, not a per-incident dump.

CSV cleaning and normalization to JSON: column names, types, duplicates and empty values. Data is processed in memory and not stored.

Generates a transformation plan for CSV columns using AI.

CSV Delimiter Detect: scores common delimiters from bounded CSV text using only bounded caller-supplied values. Call when you need a bounded csv delimiter detect result before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the bounded transformation or validation finding with counts, normalized values, and a versioned result contract for CSV Delimiter Detect as versioned deterministic JSON. Price: $0.001 USDC via x402 on Base or Solana. Fir…

CSV Import Gate: Offline Typed Contract Checker. Original standard-library Python source kit for checking UTF-8 CSV inventory or catalog exports before import. Write an explicit JSON contrac First approved purchase: 0.01 USDC total where maker terms permit; later 1.5 USDC plus tax. Stored ZIP download; commercial use, no redistribution. Verified by Speedbot for this version. Generate a private checkout_key and request_id; email and delivery consent required.

Check up to 500 supplied CSV records for quoting, column counts, duplicate headers, spreadsheet-formula prefixes and caller-declared scalar types. Return bounded row/column findings and input integrity hashes. No cell execution, automatic repair, PII detection or import-success guarantee.

CSV Join By Key: inner-joins two bounded CSV tables on one key column using only bounded caller-supplied values. Call when you need a bounded csv join by key result before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the bounded transformation or validation finding with counts, normalized values, and a versioned result contract for CSV Join By Key as versioned deterministic JSON. Price: $0.001 USDC via x402 on Base or Solana. First-party,…

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

Suggests normalization mappings for CSV columns to clean and standardize tabular data.

Scores rows in a CSV to identify unusual or anomalous records.

Profile a CSV (delimiter auto-detected): rows, columns, type of each column, nulls, unique values, min, max, mean, median, std, sum, top values, duplicate rows and a sample. Understand a dataset before using it.

Parse CSV/TSV (RFC 4180) into a JSON array of row objects (or arrays).

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

Convert messy CSV/TSV to a clean styled XLSX plus a checks report (base64)

PDF Extract ($0.04): deterministic PDF -> per-page plain text + metadata, no OCR, no table extraction, no third-party PDF/OCR vendor -- text pulled directly from the PDF's own embedded text objects via pdfjs-dist (Mozilla's own PDF.js, Apache-2.0) running in this process. Body { url } (public http(s) PDF link, SSRF-hardened fetch) OR { pdf_base64 } (raw base64 bytes), not both. Max 10 MiB, max 40 pages. Check free /v1/pdf_extract/availability first.

Data Cleaner - Clean, validate, standardize and deduplicate tabular datasets, preserve originals, and produce Excel, PDF, JSON or TXT export reports with full change logs.

Pure-compute data format conversion (no network): JSON<->CSV, JSON<->YAML, JSON normalize/minify, Markdown->HTML (sanitized), HTML->Markdown/text, base64/hex, TOML->JSON. Operates only on the supplied data.