pdfpeek (Tanod) PDF form fields: names, types, values, options and required flags. Use when an agent must list the fillable fields of a PDF form before filling it.
Data x402 offerings
Browse indexable data x402 offerings, including provider, method, and service details.
990 indexable offerings in this category.
Offerings
Page 36 of 42pdfpeek (Tanod) Excel workbook build: a styled .xlsx made from JSON sheets, columns and rows. Use when an agent must produce an Excel workbook (.xlsx) from JSON data: typed columns, styled header, several sheets.
OCR an image at a public URL: extract the text from a PNG, JPEG, WebP, GIF or TIFF. Input: url, optional lang. Returns the text, word count and mean confidence. Use when an agent must read text printed in a scan, screenshot or photo.
utilpeek (Tanod) entity extraction: emails, URLs, domains, IPs, dates, crypto addresses. Use when an agent must pull emails, URLs, domains, IPs, dates or crypto addresses out of free text.
utilpeek (Tanod) iCalendar parser: an .ics file to JSON events with ISO times, attendees and recurrence. Use when an agent must read an .ics file or invite (Google, Outlook, Apple) as JSON events.
Prüft am Objekt video den Befund Verbindungsaufbauzeit.
Prüft am Objekt skript den Befund übertragene Bytemenge.
Prüft am Objekt schrift den Befund Anteil moderner Bildformate.
Prüft am Objekt api-antwort den Befund Anteil moderner Bildformate.
Prüft am Objekt dokument den Befund Anteil moderner Bildformate.
Generate a text embedding vector using OpenAI text-embedding-3-large (3072 dimensions). Higher accuracy than the small model. Ideal for semantic search, RAG, and clustering. No API key needed; pay per call via x402. Text capped at 32k chars.
Wandelt CSV in JSON oder JSON in CSV um, ohne KI (Convert CSV to JSON or JSON to CSV, deterministic).
Parse an RSS/Atom feed into structured items (title, link, published, summary) — or auto-discover the feed from a site URL
Turn messy text into clean JSON matching the schema you provide (field names and types). Pay-per-call over x402 in USDC on Base; payment challenge answered in ~5 ms, 7-day average processing ~1.5 s across Tolca services.
Turn messy text into clean JSON matching the schema you provide (field names and types). Pay-per-call over x402 in USDC on Base; payment challenge answered in ~5 ms, 7-day average processing ~1.5 s a…
Turn a web page or raw text into JSON that matches YOUR JSON Schema. LLM-powered, schema-constrained output — no parsing needed.
