Business And Commerce x402 offerings

Estimate the size of a U.S. household market using Census data, e.g. renter households in a county or high-income families with children in a state. Returns the strongest defensible result available: an official Census estimate or a direct ACS PUMS survey estimate with a 90% margin of error. Custom criteria combinations work for states, PUMAs and counties made of whole PUMAs. Unsupported requests are refused and not charged. Not endorsed by the U.S. Census Bureau.

Crawl-to-refer — what each AI company takes from a site versus what it sends back. Per company: pages crawled, visitors referred, and the ratio between them, measured at an origin's own door. Every publisher wants this number for their own site and cannot compute it without being the origin being crawled. HOW TO CALL: GET /api/demand/crawl-to-refer?days=30 PARAMETERS: days — lookback window, 1-90 (default 30) RESPONSE: by_company[] with crawls, referrals and the ratio, plus an explicit caveat on mixed-use crawlers whose referrals cannot be attributed to search or AI. PRICING: $5.00 per call.

What should you charge? Pricing guidance from three crossed datasets. Measured agent demand per category, the price percentiles the field actually charges from the public x402 catalogue, and observed conversion by price band — resolved into a suggested price with the reasoning attached. HOW TO CALL: GET /api/demand/pricing?category=market-data PARAMETERS: category — optional; omit for every category RESPONSE: categories[] with observed demand, field price percentiles, competing origin count, a suggested price and its rationale. PRICING: $0.10 per call.

x402 conversion reality — do payment quotes ever become payments? Measured quote-to-pay rates by category and by price band, from tens of thousands of observed 402s. Price your endpoint against what the market actually converts at instead of guessing, and rule out the protocol-level defects that silently zero a funnel before you blame your price. HOW TO CALL: GET /api/demand/conversion?days=30 PARAMETERS: days — lookback window, 1-90 (default 30) RESPONSE: overall funnel, by_category[] and by_price_band[] conversion rates, plus the measurement method so you can judge the number. PRIVACY: aggregate-only, reported by category and price band, never per endpoint. PRICING: $5.00 per call.

Demand-to-supply matching — unmet agent demand crossed against who already sells it. Each row pairs something agents ask for and cannot get with the number of origins already selling in that category, so you can tell a genuine product gap from a distribution problem. A lead list if you already sell there; a build order if nobody does. HOW TO CALL: GET /api/demand/matches?days=7&limit=25 PARAMETERS: days — lookback window, 1-90 (default 7) limit — rows returned, 1-100 (default 25) RESPONSE: matches[] with the wanted path, request volume, bucketed asker count, existing supplier count, field median price, and a verdict. PRICING: $0.10 per call.

Provider reliability — the supply-side reputation the 6-question agent loop needs. Observed at our door: which origins agents chose via the free router and whether it actually helped — helped-rate (Laplace-smoothed), repeat-rate, and sample confidence. Not asserted, measured; a provider is neutral until agents report back. HOW TO CALL: GET /api/demand/reliability?days=90&limit=25 PARAMETERS: days — lookback window, 1-365 (default 90) limit — providers returned, 1-100 (default 25) RESPONSE: providers[] {origin, reliability, confidence, helped, outcomes_rated, referrals, repeat_rate}. Aggregate-only; thin rows withheld. PRICING: $5.00 per call.

x402 Agent-Demand Intelligence — what AI agents actually try to buy, ranked. Derived from the live request log of an origin that x402 agent crawlers already index: 402 payment quotes are revealed intent (an agent asked the price of a call), so the ranking shows what the agent economy is shopping for right now, by endpoint and by category. HOW TO CALL: GET /api/demand/top?days=7&limit=25 PARAMETERS: days — lookback window, 1-90 (default 7) limit — endpoints returned, 1-100 (default 25) RESPONSE: endpoints[] ranked by payment quotes, each with category, hits, and a bucketed buyer count; by_category[] rollup; coverage metadata. PRIVACY: aggregate-only. No per-client logs are sold. Rows seen by fewer than 3 distinct clients are withheld and client counts ship as buckets. PRICING: $5.00 per call.

Multi-touch attribution over conversion paths, five models at once: first-touch, last-touch, linear, time-decay, and position-based. Returns per-channel credit for each model plus a comparison. Pure computation over your inputs.

Cross-channel conversion funnel over your ad data: per-stage conversion rate, drop-off, loss-rate, overall conversion, the bottleneck stage, and a per-channel breakdown. Pure computation over your inputs.

Per-channel unit economics from spend, conversions and revenue: CPC, CPM, CPA, CAC, ROAS, ROI, conversion rate, and LTV to CAC. Ranks channels and suggests a budget shift. Pure computation over your inputs.

Search TCGPlayer for trading card prices (Pokemon, Magic, Yu-Gi-Oh, etc.) by card name. Returns matching cards with market prices as JSON.

Amazon Search API: Give a product query, get Amazon listings with ASIN, price, and rating. $0.005 USDC per call on Base.

Does ChatGPT, Claude, Gemini or Google AI Overviews even know this brand exists? Assesses current AI-answer visibility, scores the specific factors driving LLM citation, and returns quick wins plus a six-week plan to improve it, for a given brand and/or topic. Worldwide. For marketing and answer-engine-optimization agents.

What should this brand actually post on Instagram, LinkedIn or TikTok — and how often? Organic content strategy with a specific posting cadence, ranked content formats, content pillars, hook formulas and what to stop doing, for a given platform and industry. For social-media and marketing agents.

Will this business show up in the Google local pack? Local SEO punch list covering Google Business Profile optimization, review-generation strategy, citation-building priorities and a six-month ranking roadmap for a given business type and location. For local-search and local-marketing agents.

Will this ad copy actually convert on Meta, Google, LinkedIn or TikTok? Ready-to-use ad variants (headline, primary text, CTA, why it works) plus a headline bank, hook bank, audience targeting and platform compliance notes for a given platform, product, audience and goal. For advertising, paid-social and growth agents.

What should email #2 say — and when should it send? A complete, ready-to-use email sequence with real subject lines, preview text, send timing and body outlines for welcome, nurture, abandoned-cart, post-purchase or re-engagement flows, plus deliverability rules and the metrics to watch, for a given product and goal. For lifecycle and marketing agents.

What will this marketing budget actually return? Channel-by-channel ROI forecast with industry benchmarks for CPC/CPM, conversion rate, CPA and ROAS, plus a confidence rating, breakeven point and scaling/kill-switch triggers, for a given industry, budget and channels. For marketing and growth agents.

Where should this marketing budget actually go? Channel mix recommendation with specific budget percentages per channel, ROI rationale, a test-budget allocation and a first-30-days action plan for a given business type, budget and stage. For media-planning, paid-media and growth agents.

Where is this competitor vulnerable? Finds exploitable gaps in a competitor's marketing presence across content, channels and positioning, then returns quick wins and a six-month attack plan for a given competitor and industry. For competitive-intelligence and marketing agents.

Why isn't this site ranking — or showing up in AI Overviews? Technical SEO review covering Core Web Vitals, E-E-A-T, schema markup and AI-Overview readiness, returning a prioritized list of fixes ordered by impact for a given website and industry. For SEO and marketing agents.

Is this business visible to AI assistants? Live scan of the actual website: which AI crawlers robots.txt blocks (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and 10 more), llms.txt presence, Schema.org structured data + NAP completeness, sitemap and answer-shape signals — verbatim evidence rows, a deterministic grade, and a prioritized GEO/AEO fix plan. Any domain, any country. AI visibility is ~30x harder than the local pack — check before you spend.

Invoice pipeline in one call: PDF to structured Markdown (hallucination-guarded OCR), invoice field extraction, arithmetic verification, optional issuer enrichment. Flat $0.05/document (text PDFs to 20 pages, scans to 3).

Japanese company profile: corporate site to standard JSON (name, address, representative, capital, contact). $0.03/site.