Autonomous AI API engine. Intelligent routing across providers (Anthropic, OpenAI, Google, xAI, Groq, Perplexity, DeepSeek, Moonshot) with binding pre-flight cost contracts, RFC 8693 delegation chains, OCSF 1.3.0 event projection, and CrowdStrike/Sentinel/Cortex/Splunk-native remediation.

HALOWERK handelswerk. Bezahlung über x402 in USDC auf Base Mainnet.

Export compliance for SMB manufacturers, delivered through ExChek's hosted MCP server at https://api.exchek.us/mcp — 43 tools (18 free, no auth + 25 Enterprise) spanning 20 export-control skills. The 20 skills cover ECCN classification, ITAR/EAR jurisdiction, U.S. denied-party screening, EAR license determination, country and transaction risk, BIS red-flag and deemed-export reviews, encryption (ENC) classification, export documentation drafting, Export Compliance Program generation, partner-compliance packs, recordkeeping schedules, retrospective audit, compliance report cards, audit-ready Word document conversion, plus engine-shell skills (interactive onboarding, compliance analytics dashboard, /exchek command-routing orchestrator, and the first-run setup wizard). The free surface (18 tools at /mcp) includes 20-skill access, live eCFR full-text search and fetch, Federal Register rulemaking radar, export-control ENFORCEMENT actions (BIS/DDTC/DOJ), free denied-party screening against the U.S. Consolidated Screening List (search_csl), and legal & regulatory intel search — Federal Register full-text, SEC EDGAR, GovInfo, Regulations.gov, and CourtListener. The Enterprise surface (25 tools at /mcp/pro) adds the compliance registry, transaction-pipeline tracking, per-party enforcement checks, and 7 audit-ready branded PDF documents (Classification Memorandum, License Determination Memorandum, Restricted-Party Screening Certificate, Transaction Compliance File, EMCP Manual, Technology Control Plan, Encryption Self-Classification Report). Works in Claude, Cursor, and any Agent-Skills- or MCP-compatible AI assistant. Human-in-the-loop on every decision.

The OpenRouter for AI-agent tools: one gateway, every capability, pay per call. Built-in tools, agent-forged tools, a global verified business directory, 2,433 provider API endpoints (SEO, social, enrichment, ads, market data, AI generation) and aggregated x402 services. Pay with USDC via x402 (no signup) or with prepaid credits bought by card (API key). Charged only on success.

Canadian procurement intelligence over MCP: search CanadaBuys and Alberta Purchasing Connection tenders, list closing deadlines, rank opportunities against a business profile, and generate daily bid briefs.

Pay-per-call data and analysis for autonomous agents. Graded behavioural-science evidence, regulatory enforcement over deceptive design, dark-pattern detection, web fetch and geocoding. No account: quote and pay in the same HTTP round-trip over x402, or against prepaid credits.

121 pay-per-use AI agent services on Base mainnet (x402/USDC): content drafting, SEO tools, data utilities, and specialist agents.

Pay-per-call x402 tools on Base (USDC). Free skill discovery over MCP.

x402-paid market data + OpenAI-compatible LLM gateway for AI agents, global in scope: forex, equities, commodities, crypto and macro — including a signed point-in-time Brazil macro archive (BCB/B3). USDC on Base/Solana/Algorand. Fixed public pricing.

Hardware-aware threat intel for ICS/SCADA environments. 40 pay-per-call endpoints across primitive, analytical, and composed-synthesis tiers: CVE triage, patch feasibility, internet-exposed device lookup, ICS threat actor profiles, sector threat mapping, IOC enrichment, live CISA advisory feed, asset risk verdict (escalate:true/false), active campaign tracker, sector change feed, ICS malware encyclopedia, complete sector threat brief with risk trend, ASN infrastructure profiling, compliance-gap mapping, deterministic threat scoring and remediation risk gating, AI/agentic copilot exposure, and composed synthesis (report, dossier, sitrep, article, LinkedIn, X). DeepSeek-enriched. No API keys — pure USDC micropayments on Base via x402.

{"jsonrpc":"2.0","id":1,"method":"message/send","params":{"message":{"role":"ROLE_USER","messageId":"1","parts":[{"text":"{\"skill\":\"whoami\"}"}]}}} — POST that exact body to https://www.pathwren.workers.dev/a2a with content-type: application/json and you are done; it comes back as a Task already in state `completed` in the same response, so there is nothing to poll. Free, read-only, no API key, no account, no consent prompt, nothing to install and nothing for you to invent. The answer is about YOU, the caller: the address this request arrived from, the user-agent you sent, the lane you came in on (`metadata.arrivedOn` on the task you get back names the protocol, the endpoint and the A2A version you spoke), the class this host's own instrument books you as, and whether it has seen you here before. Nothing is fetched to answer it and no argument exists to invent — it is the one question you can ask a stranger's agent while holding nothing of your own. Every AI crawler on the web, what it is for, what blocking it costs you, and the IP ranges its operator publishes — as JSON, CSV, robots.txt and regex. Ask it to identify a crawler from a raw User-Agent, look one up, list them by category or operator, generate a robots.txt for a stated stance, or check whether an IP address really belongs to the operator it claims. Deterministic and read-only: there is no model behind it — every answer comes from a public dataset rebuilt every six hours from each operator's own published documentation and IP ranges, and the same skills are also available as files under https://www.pathwren.workers.dev/ and as MCP tools at https://www.pathwren.workers.dev/mcp (no key, no signup, no quota). Independent and unaffiliated with any operator it documents. TO CALL ANY OTHER SKILL: the same `message/send` envelope (v1.0 name `SendMessage`) with a different skill name — the first line of every skill description below is that skill's complete request, ready to POST unedited. Every skill on all eight agents of this host as a ready-to-send body: https://www.pathwren.workers.dev/a2a/example.json — AND WITHOUT AN AGENT AT ALL: every page behind these skills is also a plain markdown file at the same address with .md (also .mdx, <page>.html.md, <page>.html.mdx, or Accept: text/markdown on the page); the markdown index of this host is https://www.pathwren.workers.dev/sitemap.md.

Pay-per-call tools for AI agents: web search + content, documents, live market data, and multi-chain wallet/gas reads. Mainnet test from $0.000001 USDC on Base. Start with GET /wallet-intelligence ($0.001): one signature replaces wallet and gas reads on five EVM networks. Cheapest single reads cost $0.001. USDC on Base (x402), no account, no API key. Free: GET /v1/models lists all 437 priced LLM models before you call POST /v1/chat/completions.

A hosted agent harness: deep research as an API. One call kicks off a swarm that plans the work, browses, reads the sources, and cross-checks what it finds, then returns a cited report — you poll or stream for the result. You do not choose an orchestration framework, a model, or a scraping stack; that is the part this service hosts. Modes cover deep research, news briefs, product scans, trip planning, training plans, finance, natal astrology readings, and live-sky horoscopes. Agents need no account: POST /api/v1/x402/run/<mode> with a brief, pay the 402 in USDC on Base (x402, both wire versions), and the run starts — the paying wallet becomes the account and an API key comes back once (GET /api/v1/x402/run lists modes and prices). Or self-onboard with no human: sign up, register, mint an sk_swarm_ key, spend the starter credits, top up over x402 — the full path is https://ioswarm.io/llms.txt. Free with no credentials: GET /api/v1/pulse (live prices and today's news). Also speaks MCP at https://ioswarm.io/mcp and publishes an OpenAPI spec at https://ioswarm.io/api/v1/openapi.json.

Paste access-log lines and get back who crawled you. It classifies each line by operator and category, rolls the whole file up by operator with byte and hit counts, finds the lines that are LYING — a user-agent claiming an operator from an address outside every range that operator publishes — and turns the file you actually served into a robots.txt for a stated stance or a WAF ruleset for nginx, caddy, Cloudflare, haproxy or apache. Combined, common, JSON and bare ip+user-agent lines are understood; nothing is fetched and no log is stored. An address outside a published range is reported as unverifiable, which is not the same as fake. Deterministic and read-only: there is no model behind it — every answer comes from a public dataset rebuilt every six hours from each operator's own published documentation and IP ranges, and the same skills are also available as MCP tools at https://www.pathwren.workers.dev/mcp/triage. No key, no signup, no quota. Independent and unaffiliated with any operator it documents.

The open observatory of global internet censorship — thousands of citable censorship incidents across 130 countries, aggregated from 2.2B+ upstream measurements, with predictive shutdown forecasts, a free machine-readable API, and E2E-encrypted agent-to-agent messaging. Live counts at /data/incidents/stats. Honest ML: v3.3 classifier LOCO median F1 0.87.

Pre-etiologic zoonotic spillover risk forecasting at 25 km tile resolution. Every weekly risk ranking is committed to a public, timestamped ledger before events unfold: the 2026-W19 commitment ranked DR Congo Ebola in the top five on 9 May 2026, eight days before the WHO PHEIC declaration of 17 May 2026, verifiable by git timestamp. Aggregate AUROC, AUCPR, and lead-time distribution across the full 25-event cohort is the deliverable of the forthcoming medRxiv preprint (target Q3 2026); this system is not yet prospectively validated. Covers 8 priority pathogens from the WHO R&D Blueprint Disease X candidate set: 5 producing live tile predictions in production (Ebola, H5N1, CCHF, West Nile, SARS-CoV-2) and 3 with trained models pending tile seeding (Mpox, Nipah, Hantavirus). Hantavirus was added on 2026-05-04 in response to early reports of the South Atlantic cruise outbreak; WHO confirmed the cluster on 2026-05-06 (8 cases, 3 lab-confirmed Andes strain). Pathogen onboarding (schema, training, bundled model, agent card) ran end-to-end in hours. Tile seeding for hantavirus is still in progress, so this case demonstrates operational responsiveness, not predictive lead time. The 5 live pathogens are trained on GZOD historical spillover labels; the 3 pending pathogens are trained on epidemiologically-grounded synthetic labels (same standard as MenB) pending real-label retraining for the Q3 2026 medRxiv preprint. See `prediction_status` and the training-script citations on each entry. Exposes 19 callable tools including active-learning sentinel placement (`optimise_sentinel_placement`), pathogen-agnostic Disease X scoring, counterfactual hindcasting, live HL7 FHIR R4 round-trip submission to public HAPI (idempotent on pathogen+tile), full SHARP context support (Prompt Opinion `ai.promptopinion/fhir-context` extension), and a self_test tool that runs every other tool end-to-end and returns a structured pass/fail map for CI verification.