All projects on Base matching “structured”

Financial statement quick risk scan / 财报快速风险扫描. Find up to five highest-priority accounting red flags, earnings-quality issues, cash-flow anomalies, debt/liquidity and governance risks in supplied 10-K, 10-Q or report text. Returns structured scores, evidence quotes and source links.

Structured-data extraction for a target URL.

Company Intelligence and vendor due-diligence for agents: submit a company and website plus an optional research objective; AveDaris chooses a bounded fulfillment route and AUN returns structured public evidence, semantic facts, provenance, sources, and explicit limitations in one purchase.

SEC-Intel EDGAR 10-K/10-Q Financial & Risk Extractor: Extracts structured financial metrics and risk factors from live SEC EDGAR filings.

Same as the free /v1/extract but without the 30 requests per day limit: fetch one public static HTML or JSON page and return structured data (text, attr, list, table, price, events, page, links, json) as JSON, CSV or ICS. Honours robots.txt. No JavaScript rendering. Failed calls (4xx/5xx) are not settled.

Golden Kog token risk analysis by Kognai: one Solana or Base token read on chain for structure and risk (holder concentration, launch bundles and the dev wallet, liquidity, mint and freeze authorities, taxes and honeypot checks on Base, issuer controls, trading momentum), with a risk level, its flags and a short report. Use it before an agent or a trader touches an unfamiliar token. Risk reading o

JSON canonicalization — canonicalize structured data with RFC 8785 JCS; return canonical JSON text, UTF-8 byte length, and SHA-256 hash for integrity checks, signature preparation, and deduplication. Includes an EIP-712 signed attestation. Use when an agent needs an idempotency key, cache key, dedup hash, or verifiable commitment. $0.002 per call. Free verification at POST /v1/verify.

Run a deterministic SHA-256, base64 encode/decode, or UUID utility and return structured JSON.

Use when you need structured, machine-readable facts rather than prose: give a Wikidata ID (Q95) or a name (resolved to the best-matching item) and get its label, description, aliases, Wikipedia link and up to ~50 curated properties with human-readable labels: instance of, country, location, coordinates, inception/dissolution, official website, headquarters, industry, employees, revenue, stock exc

Extract structured supplier, compliance, financial, experience, document and evaluation requirements from a public tender or procurement webpage.

Real-time on-chain payment verification and check via Base RPC. Returns structured signals: verified status, amount, sender, recipient, transaction confirmation, block number. Pay $0.005 USDC per check. Covers payment, transaction, address, contract, score, signals.

Usage info for the html-clean tool: pay this GET once to receive machine-readable instructions, then call POST /html-clean to turn raw HTML into clean structured content (title, meta, LLM-ready text, headings, links, images).

Domain-level contact preflight with MX provider, SPF, DMARC and structured risk signals. Does not claim mailbox existence.

Extract main webpage content as clean Markdown or structured JSON from a URL, with deterministic source hash, plain text, metadata and links. SSRF-safe with strict redirect and document-size limits.

Convert URL, PDF, HTML, or image to structured Markdown (title, sections, word count)

Transcribe a public HTTPS audio or video URL into structured JSON with timestamps, optional speaker diarization, confidence metadata, and actual-duration settlement.

DNS lookup API for agents at $0.01 USDC. Call when you need A/AAAA/CNAME/MX/TXT/NS for domain routing, email delivery, or infra checks without running a recursive resolver. Returns structured records via x402—no API key, no subscription.

chipscan full chip-structure lifecycle analysis

Decodes a GeoTIFF/COG raster (fetch by https URL or inline base64), reads the selected RGB bands via windowed overview-level reads, applies a tone-map stretch, and returns a render-ready PNG/WebP plus structured georeference metadata (CRS, bounds, pixel scale) and source stats. Sources are hard-capped at 20 MB and output width at 2048 px. Billed on attempt, not success: payment settles once a requ

Text-to-structured-JSON extraction: POST plain text, receive emails, phone numbers, dates, monetary amounts and URLs as JSON.

Translate text between languages (LLM, structure and placeholders preserved) (1 × 1,000 characters at 0.030000 USDC each)

Invoice or receipt (PDF, PNG/JPEG/WebP image, or plain text) to structured JSON with a fixed schema: vendor (name, address, VAT ID, email, phone, IBAN), customer, invoice number, order number, issue/due date, currency (ISO 4217), subtotal, VAT total, total, amount due, VAT breakdown and line items. Every field has value, the verbatim source quote and a confidence score (0-1: quote found in the doc

Extract and validate structured expense data from receipt text or a provider-neutral receipt extraction. Use when an agent needs merchant, date, tax, total, line items, confidence, duplicate detection, and arithmetic validation before creating or reconciling an expense. The result is advisory and always requires human review.

Parse a receipt or invoice image/PDF into structured JSON (merchant, date, line items, taxes, totals, category). POST { image_url } or { image_base64, media_type }.

A US state’s Structured Settlement Protection Act rules for selling settlement payments: waiting period, independent-advice rule, cancellation right, court, statute citations.

Parse JSON or profile a JSON value. Returns canonical JSON, a SHA-256 fingerprint, structural metrics, and an inferred shape.

Page to JSON: scrape and extract any public web page URL into clean structured data JSON. Web scraper / HTML-to-JSON extractor / readability parser for AI agents and LLMs: returns title, author, site name, published date, main article text (plain text), word count, up to 200 links and an optional short summary. Web scraping, content extraction, metadata extraction, article parsing, crawl, RAG inge

Extract clean structured content from a public web page

Detect the structure of a book manuscript before typesetting it: the chapter list our engine will use (numbered / unnumbered), words and scene breaks per chapter, paragraph count, characters the book font cannot print, and the warnings a full build would raise. Same parser as /v1/typeset, so what you see here is exactly how the book will be divided.

Inspect a public HTTP or HTTPS URL and return a structured site passport. Includes pulse fields, registrable domain, robots and sitemap discovery, feeds, OpenAPI hints, and page metadata. Uses at most eight external HTTP requests and does not execute JavaScript. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to reuse cache; set fresh=true only when a new upstream fetch is required.