
VERITY
real-time fact-checking and verification of claims against live web sources
What it does
The specific capability behind this listing, and where to get it.
VERITY
real-time fact-checking and verification of claims against live web sources
Official VERITY links
Pricing & plans
Observed public pricing for VERITY, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.10 /call
This plan is priced at a premium.
$0.10 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark733.3% above the median.
get_agent_profile · plan historyper call observed 2026-07-27.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is VERITY good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 37% below the observed median.
Compared with Deep Research Agent
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Comparable Deep Research Agent
Alternatives in the same niche, with observed price and liveness where available.






See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "verity",
"name": "VERITY",
"url": "https://verity.basechainlabs.com",
"logo": "https://agentery.com/logos/CP-3RAJZJ-256.png",
"niche": "deep-research-agent",
"category": "research-knowledge-work",
"short_summary": "real-time fact-checking and verification of claims against live web sources",
"task_performed": "real-time fact-checking and verification of claims against live web sources",
"inputs_accepted": [
"claims",
"URLs",
"AI-generated content",
"natural language queries"
],
"outputs_produced": [
"structured verdicts (CURRENT/OUTDATED/DISPUTED/UNVERIFIABLE)",
"confidence scores 0-100",
"sources",
"what changed details"
],
"integrations_available": [
"A2A",
"x402",
"MCP",
"HTTP",
"Base",
"USDC"
],
"protocols_or_interfaces": [
"MCP",
"A2A"
],
"industry_fit": [
"general business"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "usage-based",
"price": {
"observed": true,
"billing": "usage",
"currency": "USD",
"lowest_monthly_usd": 10,
"monthly_usd": 10,
"headline": "From $10/mo",
"summary": "From $10/mo. VERITY offers a $10.00 one-time pack of 1,000 credits, which are consumed per tool call at $0.01 per credit.",
"confidence": "high",
"source_url": "https://verity.basechainlabs.com/api/checkout",
"checked_at": "2026-07-28T05:19:34.977Z",
"amount": 10,
"display": "From $10/mo",
"plans": [
{
"name": "VERITY Starter",
"price": "$10.00",
"period": "one-time",
"persona": "individual",
"highlights": [
"1,000 credits",
"Credits are consumed per tool call",
"1 credit = $0.01 USD"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Linux Foundation x402 standard",
"AWS AgentCore infrastructure",
"AEONOS infrastructure"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://verity.basechainlabs.com"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://verity.basechainlabs.com",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 610,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:39:27.232Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}