Agent Task Clarifier x402 REST
Turn a messy human request into an execution-ready goal, constraints, ambiguity signals and one question only if needed
agent-product-normalizer.vercel.app · 21 listed services · provider site
Turn a messy human request into an execution-ready goal, constraints, ambiguity signals and one question only if needed
Fetch one YouTube transcript and return a compact all-in-one analysis for agents
Normalize a public product page into agent-ready commerce JSON
Fetch a timestamped YouTube transcript so agents do not need to watch the video
Compare 2 to 5 public product pages and select the cheapest offer separately per currency
Score whether a public product page contains enough reliable data for commerce agents
Compress long notes or conversation context into compact operational state for agent handoffs
Extract compact price, currency, availability and seller facts from a public product page
Rank search results for a task and flag duplicate, stale and spam-like results
Extract hard constraints, soft preferences, exclusions, budgets and deadlines from a human request
Decide whether an agent should ask the human or safely infer and continue
Report what changed between two agent handoff states so the next agent reads only the delta
Detect contradictory facts, negations and numeric mismatches before an agent acts
Extract concrete action items, priority and deadline signals from messy text
Scan untrusted text for common prompt-injection and instruction-override patterns
Redact common API keys, tokens and private-key patterns before logging or handoff
Rank candidate next actions against the current agent state
Deduplicate facts and near-duplicate notes to save downstream agent tokens
Compress a verbose user task into search-engine-ready query variants
Check whether a tool call or structured request is missing required input fields
Decide whether an API/tool failure should be retried and suggest the next action
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