Data x402 offerings

Check whether value is a JSON array. Call when you validate agent payloads before list ops. Returns boolean result for $0.001 USDC via x402 on Base. No network, no keys, no retention; first-party loc…

Measure per-field presence across bounded JSON records. Use it as a bounded preflight or analysis step inside an enterprise agent workflow before data, policy, integration, security, or commercial de…

Convert structured JSON rows into CSV for exports, spreadsheets, and handoff for $0.01 USDC. Call when you need this bounded result without an API key or subscription. Returns machine-readable JSON v…

JSON Type Map Check: JSON Type Map Check checks top-level fields against caller-declared JSON type names from bounded caller-supplied values without an external provider. Call JSON Type Map Check bef…

How big is the FMCSA carrier dataset right now? Headline aggregates: total and active registered carriers, how many have a SaferGrade score and the grade distribution, carriers with inspection/crash history, and the current national driver/vehicle out-of-service baseline rates.

Text embeddings for RAG / semantic search: one string or up to 100 strings -> L2-normalised vectors with open BAAI models on Cloudflare GPUs: bge-small-en-v1.5 (384-d, English, default) or bge-m3 (10…

Static Knowledge Base: open, commercially reusable datasets (world cities, countries, ISHOB topics) by page, by id or by facet filter, with licence and attribution. Free catalogue: /v1/datasets.

Census ACS tract-level housing-stock characteristics near a point: units, age, tenure, and vacancy for agents researching an area. Returns the same records as locus_housing_stock. Use this when your …

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 …

Retrieve one sanitized archive metadata record by asset id, including content hash, readiness state, field inventory summary and evidence flags.

Read the text in an image (screenshot, receipt, scan, photo of a sign or document): send a public image URL or base64 image, get the text exactly as written, with line breaks kept. Optionally ask a question about the image instead.

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.

Convert a document to clean Markdown for an AI model: PDF, Word (docx), Excel (xlsx), OpenDocument, HTML, XML, CSV, or an image (described in text). Send a public URL or the file as base64 (max 10 MB). Tables are kept as Markdown tables.

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.

Use to average values you already have by importance ($0.01): send observations {value, weight}; get sum(value*weight)/sum(weight), the total weight and the count. Deterministic decimal math on your …

Use to flag outliers in any series ($0.01): send value and reference values; get a 0-100 anomaly score, the z-score, severity (NORMAL, LOW, MEDIUM, HIGH, EXTREME) and direction (ABOVE/BELOW). Fixed s…

Use to turn evidence quality into one auditable 0-100 confidence ($0.01): send factors such as sample size, data freshness, source agreement and signal consistency (each 0-100, weighted); get the con…

Use to rank a value against a dataset ($0.01), e.g. today's volume versus the last 90 days: send value and values; get its 0-100 percentile rank with counts below, equal and above. Methods LINEAR (de…

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, exac…

Use to measure how unusual a value is versus its history ($0.01): send value and reference values; get mean, standard deviation and z = (value - mean) / sd. Choose SAMPLE (default, n-1) or POPULATION…

Validate a fixed JSON CSV column specification before assigning extraction or checking deliveries. Send typed column settings in requirements; returns the validated spec for /v1/data/csv/validate-dat…

Validate CSV before import using a fixed JSON column specification. Checks missing/extra columns, required cells, string/integer/decimal/boolean/date types, uniqueness, allowed values and numeric/row…

Use when an agent needs keyword extract. Returns Ranked keyword and named-entity extraction from text, returned as clean JSON arrays — parse-validated with one automatic retry. $0.004.

Use when an agent needs extract json. Returns Extract structured JSON from unstructured text against a caller-supplied JSON Schema — parse-validated with one automatic retry, 502 on failure instead o…