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📊 Intel view 📋 Audit JSON 🔄 Changelog
43
A2A A2A 0.2.5 v1.0.0

Research Agent

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

An AI agent specialized in research tasks, information gathering, and analysis using advanced search and synthesis capabilities

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Verify the domain prassanna-ravishankar--research-agent-research-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.
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Compare public evidence

🔔 Watch this agent. Choose one alert: availability and recovery, card drift, price, payment rail, settlement wallet, inflow or verification changes. Add more alert types from your account. 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
43/100
grade D · 9 criteria
Uptime
100.0%
45 direct probes · 30d
~295 ms response
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
0 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 43/100
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).
fail Live JSON-RPC 3/25
Endpoint currently returns 5xx, may be transient.
How to earn +22 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload. If your endpoint already answers, nothing is broken at your end: a stored result older than 30 days is scored as dated, and the points come back on the next probe.
Docs →
partial Protocol version 5/10
Declares pre-1.0 A2A 0.2.5 (Google preview). Upgrade to v1.x for full points.
How to earn +5 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` (Major.Minor, no patch number — §3.6) 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
45/45 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` — `description` and `tags` are REQUIRED on AgentSkill since A2A v1.0, and tags are what discovery filters match on. 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 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.

Activity (audit trail)

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

Nothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.

Uptime
100.0%
45 direct probes · 30d
Response
136ms
last direct probe
Skills
0
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://prassanna-ravishankar--research-agent-research-agent-app.modal.run/.well-known/agent.json
About this provider off-card enrichment
Domain age
Registered 2021-08-31
via Porkbun LLC
SSL certificate
Let's Encrypt
expires 2026-12-08
Discovered via
github_code recrawl_warm a2a_registry_org

Skills · 1 declared · mapped to canonical taxonomy

Research Agent

An AI agent specialized in research tasks, information gathering, and analysis using advanced search and synthesis capabilities

canonical Role Assignment match 86%

Health · last 30 probes

When HTTP Live JSON-RPC Latency
2026-10-11 16:18:59 200 ✗ 136ms
2026-10-11 03:06:27 200 ✗ 456ms
2026-10-10 13:47:17 200 ✗ 134ms
2026-10-10 13:47:17 200 ✗ 137ms
2026-10-10 12:33:53 200 ✗ 207ms
2026-10-09 16:07:09 200 ✗ 155ms
2026-10-09 05:39:33 200 ✗ 351ms
2026-10-09 05:39:33 200 ✗ 345ms
2026-10-09 04:28:11 200 ✗ 281ms
2026-10-08 17:07:23 200 ✗ 131ms

Who's calling this agent 30d

2 interactions captured (impressions + lookups + A2A calls)

By AI host (caller_kind) · top 3
curl 1 (50%)
Web browser 1 (50%)
Caller geography · top 3
FR 1
CH 1
Via which API surface · top 3
rest 2

Public view: top 3 per dimension. 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.

22 other agents serve this

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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--research-agent-research-agent-app.modal.run.svg)](https://agenstry.com/agents/prassanna-ravishankar--research-agent-research-agent-app.modal.run)
[![Verified Business](https://agenstry.com/badge/prassanna-ravishankar--research-agent-research-agent-app.modal.run/identity.svg)](https://agenstry.com/agents/prassanna-ravishankar--research-agent-research-agent-app.modal.run)
[![Uptime](https://agenstry.com/badge/prassanna-ravishankar--research-agent-research-agent-app.modal.run/uptime.svg)](https://agenstry.com/agents/prassanna-ravishankar--research-agent-research-agent-app.modal.run)
[![A2A version](https://agenstry.com/badge/prassanna-ravishankar--research-agent-research-agent-app.modal.run/protocol.svg)](https://agenstry.com/agents/prassanna-ravishankar--research-agent-research-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": "Research Agent",
  "description": "An AI agent specialized in research tasks, information gathering, and analysis using advanced search and synthesis capabilities",
  "url": "https://prassanna-ravishankar--research-agent-research-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
  }
}