Data x402 offerings

Organize supplied customer evidence into challenge, approach, results, and missing proof; do not invent outcomes. Uses buyer-supplied information only; no external research or outbound actions. Retur…

Classify supplied text using supplied labels and definitions, with rationale, uncertainty, and an unknown category. Uses buyer-supplied information only; no external research or outbound actions. Ret…

Reconciles invoice, purchase-order, or ledger records and returns traceable missing, extra, and changed fields.

Matches vendor, fund, company, or account names across two datasets using normalized and conservative fuzzy matching.

XLSX/CSV to Markdown + JSON: Convert an XLSX spreadsheet or CSV to Markdown table AND a JSON array of row objects in one call. Provide a direct URL or base64-encoded file bytes. All sheets are included; multi-sheet workbooks are flattened in sheet order. Pay per call in USDC on Base via x402 — POST https://x402.freeq.one/tools/xlsx_to_markdown.

Document to Markdown (auto-detect): Convert any document to Markdown with automatic format detection. One endpoint for pdf, docx, pptx, xlsx, csv, epub, html and plain text — provide a URL or base64 bytes and the type is detected from the file contents. Spreadsheets return both a Markdown table and a JSON array of rows. Pay per call in USDC on Base via x402 — POST https://x402.freeq.one/tools/document_to_markdown.

Normalize small caller-supplied CSV payloads, trim fields and standardize row width and line endings.

Compare two JSON values and return structured changed, added and removed paths.

Extract a public PDF (by HTTPS URL or base64) into clean Markdown - headings and tables preserved via layout-aware parsing, plus title/author/page count/date metadata and a real token count. Text content itself is never generated or altered, only its structure is inferred. Try GET /pdf/sample. Part of the AgentIndex content kit (pdf, web-read, extract, summarize, detect-language) - see GET /capabilities.

Descriptive statistics for a list of numbers: count, mean, median, sample stdev/variance, min, max.

Flatten a nested JSON document into single-level dotted-path keys.

Extract structured data from a URL or raw text into strict JSON matching a schema you provide. Fields the content doesn't support come back null - never an invented or approximate value, and an unmat…

Ordinary least squares simple linear regression (y = slope*x + intercept) with R-squared.

Pearson correlation coefficient between two equal-length numeric series.

Source-bounded fact-check. Verify a claim against provided source text. Returns verdict: supported, contradicted, or unverifiable. Does NOT search the web.

Car complaint records: what real owners reported failing on a given year/make/model or VIN — component, narrative summary, crash/fire flags, injuries, and dates, newest first as structured JSON. Filter by component keyword to target a suspected problem area before buying or diagnosing.

Vector embeddings API: converts up to 64 pieces of text per call into 768-dimensional numeric vectors suitable for similarity comparison, no separate provider account or key needed. Pay per call in USDC, and nothing submitted is retained afterward. Use it to build semantic search indexes, cluster related documents, or de-duplicate near-identical text at scale.

Car complaint records: what real owners reported failing on a given year/make/model or VIN — component, narrative summary, crash/fire flags, injuries, and dates, newest first as structured JSON. Filt…

Crash-test results for US-market vehicles: government 5-star program scores covering frontal and side impacts, side pole, and rollover, plus safety-feature flags like electronic stability control and forward-collision warning. Query by VIN or year/make/model; unrated vehicles return a clear not-found answer.

Convert a PDF document to clean, LLM-ready Markdown. Provide a direct URL to the PDF or base64-encoded file bytes. Auto-extracts headings, paragraphs, lists and tables. Ideal for feeding reports, papers and contracts into RAG pipelines.

Convert an XLSX spreadsheet or CSV to Markdown table AND a JSON array of row objects in one call. Provide a direct URL or base64-encoded file bytes. All sheets are included; multi-sheet workbooks are flattened in sheet order.

Extract fields from a PDF or long document into JSON matching your schema. Every returned field carries a source quote and page number, checked against the document text; fields whose quote isn't found are dropped, not guessed. Input: public PDF/HTML URL or pasted text, up to 40 pages. Use for invoices, spec sheets, RFPs, filings. Not for scanned/image PDFs (no OCR), login/paywalled sources, or financial/legal advice. Errors aren't charged. No API key.

Extract keywords: Verb-path alias of POST /v1/cheap-errand ($0.01 USDC). Same handler + payment terms; path defaults task=extract_keywords when body.task omitted. Cheap agent glue for buyer-supplied …

Extract structured JSON. JSON schema extract. Structured extract from pasted text or a public URL into YOUR schema. When to use: turn messy public text into typed JSON with confidence + warnings. $0.…