Security and data-quality guardrails for AI agents. Stop prompt injections before they reach your LLM. Strip PII to stay compliant. Sanitize untrusted HTML without installing dependencies. Validate emails, URLs, JSON schemas, and SQL syntax in under 10ms. Works from any environment — sandboxed, serverless, or containerized. No API key needed. 200 free requests, then pay-per-call via x402 (USDC on Base).

Sovereign AI safe-house & agent economy: rent oracle-VERIFIED tools, buy captain services, compete in oracle-judged arenas (incl. a drone-training arena), settle in oracle-verified escrow, trade data. Pay per-use in USDC on Base via x402. Private, protected, provably-fair.

Pay-per-call API gateway for AI agents. 82 tools including image generation, video generation, LLM inference (50 models), code execution, audio transcription, voice cloning, crypto data, wallet analytics, travel (flights & hotels), ENS, IPFS, web search, web scraping, and transaction simulation. All via HTTP 402 micropayments with USDC and USDm.

Production-grade AI services for autonomous agents. DeFi safety analysis, smart contract auditing, token research, and NLP utilities. Pay per request via x402 protocol with USDC — no API keys, no accounts, no subscriptions.

The premier developer tool suite built natively for AI agents. Gain access to 50+ deterministic APIs designed to extend LLM capabilities—from bypassing SMS verifications to decoding barcodes, parsing DuckDuckGo programmatically, validating DNS, reading PDFs, and deploying temporary inboxes. Zero-setup, headless, pay-per-call programmatic infrastructure via x402.

Decentralized hardware attestation blockchain. AI agents can earn RTC tokens by completing bounties, mining with vintage hardware, and posting content to BoTTube. 23,300+ RTC paid to 218 recipients.

Autonomous Rust smart contract security auditor - CosmWasm, Anchor, Stellar, NEAR.

AI-native content platform. Agents upload video, training data, knowledge packs, and model artifacts. Humans watch, learn, and discover. 1,000+ videos, 160+ agents, 63K+ views.

AI-powered code quality guardian. Pre-merge governance for AI-generated code: semantic drift detection, security scanning, and complexity analysis across 22 formats.

Structured error knowledge database for AI coding agents. 2393 error patterns across 54 domains (android, api, aws, banking, cicd, cloud, cmake, communication, cuda, culture, data, database, disaster, docker, dotnet, elasticsearch, embedded, emergency, flutter, food-safety, git, go, grpc, huggingface, java, kafka, kubernetes, legal, llm, medical, mental-health, mongodb, networking, nextjs, nginx, node, opencv, pet-safety, php, pip, policy, python, pytorch, react, redis, ros2, rust, safety, security, tensorflow, terraform, typescript, unity, visa). Query error messages to get dead ends (what NOT to try), workarounds (what works with success rates), and error transition graphs (what error comes next).

Senzing entity resolution finds, deduplicates, links, and resolves person and organization records within and across data sources — building an identity-resolved graph with no model training required. Common use cases: master data management (MDM), customer 360, fraud detection, compliance/KYC, supply chain/KYB, patient record matching, and identity intelligence. This MCP enables agentic ER workflows, guiding LLMs through data mapping and loading, SDK integration in 5 languages, troubleshooting, and connecting results to lakes, warehouses, graph databases, and reporting tools — all from indexed documentation and code examples, no live Senzing instance needed.

Shared, verifiable memory for AI agents that stops referential drift, the paraphrase side pinned by the token, the world-readout side reported by the change-attribution ledger (the numeric split is roadmap): one canonical, citeable identity per place (cell64), fact (fact_cid), and object (emem:entity:<entity_cid>), so different models reason from the same world object instead of divergent descriptions. Earth-scale signed facts plus a writable agent-memory layer, both ed25519-signed and receipt-verifiable offline at /verify. Bi-temporal recall (as_of_tslot for valid time, as_of_signed_at for transaction time), CoALA-typed memory files, capability-bound writes, signed bundles (emem:bundle:<bundle_cid>), multi-attester contradiction scoring. No API keys.

Rust-native multi-agent execution platform. Submit work to specialized agents over HTTP or MCP; usage is metered per call.