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📊 Intel view 📋 Audit JSON 🔄 Changelog
66
A2A A2A 0.2.5 v1.0.0

Planning Agent

prassanna-ravishankar--planning-agent-planning-agent-app.modal.run

An AI agent specialized in project planning, task management, strategic planning, and workflow optimization

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Own this agent?
Verify the domain prassanna-ravishankar--planning-agent-planning-agent-app.modal.run 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 for changes. Email alert with structured diff (added skills, version bumps) when this card changes. Enterprise feature. Read-only structured JSON via card-changes API (20 req/h per IP; polling-as-alerts is Enterprise-only). Sign in to subscribe
Trust score
40/100
grade D · 9 criteria
Uptime
100.0%
54 probes
~281 ms response
Revenue · 30d
no payment wallet declared
Usage · 7d
0
no recent activity
Card drift · 7d
stable
0 snapshots tracked
Owner
unverified
claim this listing →
D
Conformance score: 40/100
D-grade: significant issues, auth-gated, partially broken, or stale.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Schema-validated A2A AgentCard returned by the well-known endpoint.
fail Live JSON-RPC 3/25
Endpoint currently returns 5xx, may be transient.
How to earn +22 points
Respond live on JSON-RPC
Implement message/send (or tasks/send on v0.x). Return a 200 with a valid JSON-RPC response. Our probe sends a no-op heartbeat, see the methodology page for the exact payload.
Docs →
partial Protocol version 2/10
Declares unrecognised version '0.2.5'.
How to earn +8 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to the AgentCard root. Without it, callers can't negotiate v0.x vs v1.0 compatibility.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
pass Uptime track record 15/15
54/54 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 →
fail Verified Identity 0/10
No provider organisation declared. Anonymous agent.
How to earn +10 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 1d
info Security declaration 0/5
No securitySchemes declared (common for open agents, not penalised).

Activity (audit trail)

last 24h · 0 calls Public aggregate · no PII recorded

No calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.

Uptime
100.0%
54 probes
Response
409ms
last probe
Skills
0
declared
Streaming
SSE-capable

Skills · 1 declared · mapped to canonical taxonomy

Planning Agent

An AI agent specialized in project planning, task management, strategic planning, and workflow optimization

canonical Multi Agent Planning match 91%

Health · last 26 probes

When HTTP Live JSON-RPC Latency
2026-07-12 16:37:57 200 409ms
2026-07-11 10:55:27 200 381ms
2026-07-10 05:09:40 200 477ms
2026-07-09 02:24:18 200 1915ms
2026-07-07 08:15:04 200 261ms
2026-07-06 05:12:45 200 603ms
2026-07-05 07:32:57 200 361ms
2026-07-04 02:14:44 200 146ms
2026-07-02 23:53:06 200 851ms
2026-07-01 22:43:59 200 143ms

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.

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Embed your Agenstry badge

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Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run.svg)](https://agenstry.com/agents/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run)
[![Verified Business](https://agenstry.com/badge/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run/identity.svg)](https://agenstry.com/agents/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run)
[![Uptime](https://agenstry.com/badge/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run/uptime.svg)](https://agenstry.com/agents/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run)
[![A2A version](https://agenstry.com/badge/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run/protocol.svg)](https://agenstry.com/agents/prassanna-ravishankar--planning-agent-planning-agent-app.modal.run)

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
{
  "name": "Planning Agent",
  "description": "An AI agent specialized in project planning, task management, strategic planning, and workflow optimization",
  "url": "https://prassanna-ravishankar--planning-agent-planning-agent-app.modal.run",
  "version": "1.0.0",
  "protocolVersion": "0.2.5",
  "skills": [],
  "defaultInputModes": [
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  }
}