"Project Manager Agent positions" matching MCP connectors:

Diagnose AI agent failures & translate ambiguous human input into clear intent using RPCS-1.

MCP server for agent-run URL A/B testing. Create projects, allowlist domains, launch URL experiments, track conversions, and retrieve performance reports for customer-owned sites.

Search scored onchain agent frameworks, MCPs, wallets, tools, and live agents.

Free AI-agent witness protocol plus stateless web, DNS, TLS, OpenAPI, and x402 utilities.

Pay-per-call web scraping for AI agents via x402 on Base USDC. Six tools, no signup.

AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.

Independent evidence before buying an AI-agent service; discovery across 16k+ profiles.

Website intelligence audits for AI agents: free preview plus x402-paid Agent Readiness scoring

Agent-first full-stack infra: Postgres, auth, storage, sites, functions. Pay-per-use x402 USDC.

Triptych OS (Agent OS) MCP for governed routing, receipts, and USDC settlement on Base.

Reliable async execution for agent tool calls: schema gating, retries, idempotency, audit trail.

Counterparty risk transfer for the agent economy: agents post bonds behind their promises, wronged c

Build, validate, and deploy multi-agent AI solutions from any AI environment.

Remote MCP + A2A server for AI agent operations. Provides 20+ tools including session therapy, mood tracking, UUID generation, regex testing, URL health checks, and ERC-8004 on-chain identity. Hosted at api.delx.ai with REST, MCP (SSE/streamable HTTP), and A2A protocol support.

Free public web freshness and response-metadata checks for AI agents.

Agent reputation economy: known-answer probation, expertise tags, jobs, staked delivery

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

Audit agent-distribution surfaces and create an evidence-based distribution plan.

Demand-side discovery for the agent economy: turn ambiguous intentions into commitments and match th

Scan any URL for AI agent readability — Vercel Spec, llmstxt.org, and agent-protocol manifests.