Data x402 offerings

Convert between a JSON array and JSONL/NDJSON (one JSON object per line). mode: to-jsonl (array → lines) or from-jsonl (lines → array). For streaming records to and from agents and datasets.

Top keywords and two-word phrases by frequency (stopwords removed). Cheap, deterministic signal for routing, tagging, and dedup.

SPA: agent context bath — POST {"text":"<noisy context/logs ≤256KB>", "max_essence":1..50} → distilled essence (rarity×diversity, mechanical, no LLM), repeated_patterns, compression ratio, sha256. Deterministic: same input = same output.

Composite coffee view: farmgate + futures + CFTC COT positioning + trend.

Returns historical Cashew data records for analysis and tracking.

Historical coffee futures data series. Query `days` (1-365) controls window.

Bulk snapshot of every Latin American government reference series in one JSON file for 22 Latin American countries: policy rates, VAT/GST, statutory interest, minimum wages, CPI, income, corporate and withholding tax, social contributions and holidays, plus official FX reference rates. Every value cited with source URL, effective date and last_confirmed. Suited to caching the full dataset; single values are GET /v1/{country}/{series}.

Evidence-first SQL CREATE TABLE schema-change risk analysis with blast radius, findings, safe migration patch, and rollout plan

LineLedger: Offline JSONL Triage and Recovery. An original, dependency-free Node.js toolkit for triaging damaged JSONL exports. Stream large files, locate malformed records with exact byte o First approved purchase: 0.01 USDC total where maker terms permit; later 1 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.

Compare U.S. locations across Census demographics, income, education, housing and workforce metrics in one call.

Log Lines to JSON Lines, Odd Lines Kept Raw — Parses plain-text log lines into JSON Lines, one record per line, by a format the task states (Apache or nginx combined access log, RFC 5424 syslog, key=value pairs, or a custom pattern with named fields). Splits by the format's grammar and not by spaces, so quoted fields with spaces and escaped quotes stay whole. A dash that the format defines as absent becomes null, fields the task calls numbers become JSON numbers (a status stays a number, a zero…

Filter a JSON/NDJSON event log by field/operator/time range; returns matching events. Use when an agent needs to pull matching rows (thresholds, equality, substring, threshold crossings, time windows…

Turn messy text into strict JSON: send text plus the fields you want and get back exactly those keys, null for anything the text does not state — never invented. Invoices, emails, contracts, scraped pages, chat logs....

Machine Observer premium historical snapshots across machine commerce, trust, likeness, API/data, compute, model/tool supply, and developer-adoption signals.

Compile 1-8 documents into a token-budgeted context pack, then measure exact retention of 1-32 caller-labelled evidence spans. Returns the pack, source-linked passages, input and output hashes, original and compiled token estimates, tokensSaved, source coverage, and requiredEvidenceRetentionPercent. Retention is exact span matching only: not accuracy, answer quality, verification, or hallucination prevention. Extractive and budget-bound. Request content is not stored.

Compress long documents and RAG inputs into token-budgeted, deduplicated context packs with source-linked provenance. Returns original and compiled token counts, so the saving is verifiable. Net-positive above N = fee / (r x p) tokens: r your reduction, p your input price. Extractive and budget-bound, so check includedPassages before relying on it. Ranks Latin, Cyrillic, Greek, Arabic and CJK; CJK coarser (bigrams). Not for tabular or heavily-structured payloads.

Evaluate exact retention of 1-32 caller-labelled evidence spans at exactly five ascending token budgets. Returns five source-linked Context Packs, per-run retention metrics, an evidence frontier, stable hashes, and a deterministic receipt digest. Price basis: five $0.01 evaluations. Retention is not truth, accuracy, answer quality, legal compliance, or hallucination prevention. Bodies are not stored.

Pull structured fields out of free text: name the fields you want and get JSON back (missing fields come back null). For invoices, emails, listings, bios and more.

Named entities in a text: people, organisations, places, dates, money amounts, products and other notable items, each with its type and how many times it appears.

Convert CSV (or TSV) to JSON rows with the header row as keys; numbers and true/false are typed, quoted fields and embedded newlines handled. Up to 50,000 rows.

Pull structured fields out of free text: name the fields you want and get JSON back (missing fields come back null). For invoices, emails, listings, bios and more.

Markdown Table Repair: Fix the Table, Keep Every Cell — Repairs a broken Markdown table so GitHub Flavored Markdown renders it as one table with the right columns, without changing the text of any cell, and answers with the table only, no code fence. Adds a missing or malformed alignment row and keeps the alignment colons it finds, adds the missing leading and trailing pipes, escapes a literal pipe inside a cell as backslash-pipe (also inside inline code), pads a short row with empty cells with…

Split YAML front-matter from a document — returns the parsed metadata object and the remaining content body. Malformed YAML is rejected as a clean 400.

Use for a robust, outlier-resistant central value with weights ($0.01): send observations {value, weight}; get the value where cumulative weight reaches half the total. Deterministic definition, exact ties take the midpoint; works on any numeric data you supply.