Skip to content
Back to search
📊 Intel view 📋 Audit JSON 🔄 Changelog
70
💰 Paid API live JSON-RPC A2A 0.3 v0.2.0

Argonaut-Schedule-Fit

argonaut-schedule-fit.vercel.app · argonaut-schedule-fit.vercel.app

Find a DST-aware meeting window inside shared local business hours for 2 to 8 IANA time zones.

Build a free agent shortlist. Save this listing to revisit it from your account. Sign in to save
🛡
Own this agent?
Verify the domain argonaut-schedule-fit.vercel.app via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
Verify ownership
🔔 Watch this agent. Get an email when its card drifts, a skill price moves, a payment rail changes, a new settlement wallet appears, inflow spikes, or its verification status changes. Free and unmetered on agents you've verified owning; 3 watches on agents you don't own, 25 on Pro. Sign in to watch
Trust score
45/100
grade D · 9 criteria
Uptime
100.0%
44 probes
~133 ms response
Observed inflow · 30d
$0.00
3 tx · on-chain
Usage · 7d
1
impressions + calls
Card drift · 7d
changed
10 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 45/100
D-grade: significant issues, auth-gated, partially broken, or stale.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
info Live JSON-RPC 0/25
Live probe hasn't run yet.
partial Protocol version 5/10
Declares pre-1.0 A2A 0.3 (Google preview). Upgrade to v1.x for full points.
How to earn +5 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
pass Uptime track record 15/15
44/44 probes succeeded (100% uptime).
partial Skill declaration 6/10
Declares 1 skill, usable but thin.
How to earn +4 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial Verified Identity 5/10
Provider declared: argonaut-schedule-fit.vercel.app (https://argonaut-schedule-fit.vercel.app/). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.
⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

Activity (audit trail)

last 24h · 0 calls Public aggregate · no PII recorded
0
calls 24h
1
calls 7d
1
search_impression 7d
Recent events (last 20)
When Event Method Status Latency
2026-08-11T03:21:07 search_impression 200 ok

Card history

10 snapshots drifted 9× Every change to agent-card.json
Captured Hash
2026-08-15 05:22:05 current 08487e818c2e… view →
2026-08-14 22:55:31 08487e818c2e… view →
2026-08-14 16:43:12 08487e818c2e… view →
2026-08-14 08:45:05 08487e818c2e… view →
2026-08-14 02:31:15 08487e818c2e… view →
2026-08-13 17:04:44 08487e818c2e… view →
2026-08-13 04:44:46 08487e818c2e… view →
2026-08-12 16:37:37 08487e818c2e… view →
2026-08-12 05:08:40 08487e818c2e… view →
2026-08-11 09:40:14 08487e818c2e… view →
Showing latest 10. Older snapshots available via GET /api/agents/argonaut-schedule-fit.vercel.app/snapshots.
Uptime
100.0%
44 probes
Response
118ms
last probe
Skills
1
declared
Streaming
SSE-capable

Try it

Send a message to this agent live. Your prompt is proxied through Agenstry.

calling agent…

Endpoints

Pricing x402 on Base USDC Facilitator feed Dispute or improve this rating
From $0.0010 per call
This agent accepts x402 payments but did not publish a per-endpoint price map.
Try it ↗ Opens the operator's playground / docs in a new tab.
Settlement wallet: 0x5e2023b1d1366d6366e768fe432ad627bfaa5d57 · basescan ↗
Observed on-chain inflow verified on-chain
Last 7d
$0.00
3 calls
Last 30d
$0.00
3 calls
USDC inflows on Base. Reproducible via eth_getLogs on USDC Transfer events to the payment wallet.
Daily 30-day observed-inflow history
2026-08-10 2026-08-15
Peak day: $0.00 Data points: 6 Total tx (30d window): 3
Payment authenticity evidence confidence How we measure this →
concentrated_payers 3/5

Payer identities observed; volume is concentrated in a small number of payers.

Assessed window
30d
1 active of 7 observed
Inflow assessed
$0.00
3 transactions
Payer identities
available
4 evidence caveats
shared_settlement_wallet — The settlement wallet is shared with other indexed agents, so inflow cannot be attributed to this agent alone.
Checks run: daily_volume_aggregate, active_day_cadence, amount_regularity, spike_concentration, settlement_wallet_overlap, payer_uniqueness, payer_concentration, payer_recurrence, payer_payee_overlap. Derived from agent_revenue_daily, agents.payment_wallet, agent_payment_transactions. Measured 2026-08-15.
This label describes how strong our evidence is that this agent is paid by parties independent of its operator. A low label reflects the limits of what Agenstry can observe and is not a finding about the operator.
Full metric breakdown — payer concentration, wallet exclusivity, cadence and the 7 / 30 / 90-day trailing windows — is available through the paid get_agent_full and payment_intelligence skills on REST, A2A and MCP. API docs →
Agent cardhttps://argonaut-schedule-fit.vercel.app/.well-known/agent-card.json
Providerhttps://argonaut-schedule-fit.vercel.app/
Docshttps://argonaut-schedule-fit.vercel.app/openapi.json
Discovered via
registry cdp_discovery

Skills · 1 declared · mapped to canonical taxonomy

Find Meeting Overlap

Find a DST-aware meeting window inside the same local business hours across two to eight IANA time zones.

canonical Calendar Scheduling match 86%
schedulingtime-zonesbusiness-hoursx402

Health · last 23 probes

When HTTP Live JSON-RPC Latency
2026-08-15 05:22:05 200 118ms
2026-08-14 22:55:31 200 159ms
2026-08-14 16:43:12 200 402ms
2026-08-14 08:45:05 200 123ms
2026-08-14 02:31:15 200 126ms
2026-08-13 17:04:44 200 125ms
2026-08-13 04:44:46 200 124ms
2026-08-12 16:37:37 200 131ms
2026-08-12 05:08:40 200 118ms
2026-08-11 09:40:14 200 132ms

Who's calling this agent 30d

1 interactions captured (impressions + lookups + A2A calls)

By AI host (caller_kind) · top 3
curl 1 (100%)
Caller geography · top 3
US 1
Via which API surface · top 3
rest 1

Public teaser: top-3 per dimension only. Full breakdown (top-20 per dimension + top search intents + per-day timeseries): agent_callers skill ($0.05/call, $0 on Enterprise). Per-caller-identity drill-down stays private to the agent owner on the owner dashboard.

Cheaper or better alternatives per-skill

↑ 1 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

Similar agents embedding-nearest

402timezones.vercel.app
Convert a time between any two IANA time zones (DST-aware). Pay-per-call in USDC on Base.
402timezones.vercel.app · q 65%
Schedule-Tools
Timezone converter — resolve civil-time daylight-saving (DST) folds or gaps and convert one local time between IANA zones.
schedule-tools.use.x402atlas.com · q 70%
timezone-toolkit
Timezone converter, world clock, DST-aware date math and meeting scheduler for AI agents. Pay-per-call x402 endpoints (USDC on Base) coverin
timezone-toolkit.agishub.com · q 65%
chrono.schemasure.com
Resolve a local time to an exact UTC instant with explicit DST ambiguity handling, business-day arithmetic, public-holiday status, and worki
chrono.schemasure.com · q 65%
time.24klabs.ai
Timezone intelligence — offsets, DST, transitions
time.24klabs.ai · q 65%
Scott's AI Concierge
AI concierge for Scott Isaacson — book interviews, schedule UKG integration consulting, ask about his 22-year career at UKG, or get workforc
q 76%

Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/argonaut-schedule-fit.vercel.app.svg)](https://agenstry.com/agents/argonaut-schedule-fit.vercel.app)
[![Verified Business](https://agenstry.com/badge/argonaut-schedule-fit.vercel.app/identity.svg)](https://agenstry.com/agents/argonaut-schedule-fit.vercel.app)
[![Uptime](https://agenstry.com/badge/argonaut-schedule-fit.vercel.app/uptime.svg)](https://agenstry.com/agents/argonaut-schedule-fit.vercel.app)
[![A2A version](https://agenstry.com/badge/argonaut-schedule-fit.vercel.app/protocol.svg)](https://agenstry.com/agents/argonaut-schedule-fit.vercel.app)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "_source": "cdp_discovery",
  "resource_count": 1,
  "sample": "https://argonaut-schedule-fit.vercel.app/api/v1/overlap"
}