32
A2A
A2A 1.0
v1.0.0
academic-research-intel
academic-research-intel-production.up.railway.app
Academic research intelligence - papers, authors, institutions, citations via OpenAlex
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academic-research-intel-production.up.railway.app via a single DNS TXT record to add the
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Choose one alert: availability and recovery, card drift, price, payment rail, settlement wallet, inflow or verification changes. Add more alert types from your account.
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Trust score
32/100
grade F · 9 criteria
Uptime
accumulating
1/5 direct probes · 30d
~255 ms response
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
1 snapshot tracked
Owner
unverified
claim this listing →
Dispute or improve this rating
F
Conformance score: 32/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾
click to collapse breakdown ▴
F
Conformance score: 32/100
F-grade: card is reachable but fails most operational signals.
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
0/25
Card declares a URL but that URL returns 404.
How to earn +25 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 →
pass
Protocol version
10/10
Declares A2A 1.0 with supportedInterfaces[] (current v1 card shape).
info
JWS signature
0/10
Card is unsigned (most published agents are).
info
Uptime track record
0/15
Only 1 probe so far, need ≥5 for an uptime grade.
partial
Skill declaration
8/10
Declares 9 skills with structured metadata. 9 of 9 skills lack tags or a description — both REQUIRED on AgentSkill since A2A v1.0; discovery filters cannot match an untagged skill.
How to earn +2 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 recordedNothing 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.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-10-06 16:30:35 current | 748537aeed7e… |
view → |
Uptime
accumulating
1 direct probes · 30d
Response
349ms
last direct probe
Skills
9
declared
Streaming
—
SSE-capable
Endpoints
| Agent card | https://academic-research-intel-production.up.railway.app/.well-known/agent-card.json |
Discovered via
8004scan
Skills · 9 declared · mapped to canonical taxonomy
overview
Free overview - OpenAlex stats and agent info
orphan: no canonical match yet
search-papers
Search academic papers by keyword, title, or DOI
author-lookup
Get author profile with publications and citation metrics
institution-lookup
Get institution profile with research output and rankings
trending-topics
Get trending research topics and concepts with paper counts
orphan: no canonical match yet
paper-analysis
Deep analysis of a paper with citations, references, and related work
analytics
Payment analytics summary
orphan: no canonical match yet
analytics-transactions
Recent payment transactions
analytics-csv
Export payment data as CSV
orphan: no canonical match yet
Health · last 1 probes
Cheaper or better alternatives per-skill
↑ 3 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.
Academic Paper Search
search
36 other agents serve this
Literature Review and Synthesis
research
22 other agents serve this
Marketing Analytics and Attribution
marketing
43 other agents serve this
Similar agents embedding-nearest
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.
Markdown / HTML snippets
[](https://agenstry.com/agents/academic-research-intel-production.up.railway.app) [](https://agenstry.com/agents/academic-research-intel-production.up.railway.app) [](https://agenstry.com/agents/academic-research-intel-production.up.railway.app) [](https://agenstry.com/agents/academic-research-intel-production.up.railway.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.
Raw agent card JSON
{
"protocolVersion": "1.0",
"name": "academic-research-intel",
"description": "Academic research intelligence - papers, authors, institutions, citations via OpenAlex",
"url": "https://academic-research-intel-production.up.railway.app/",
"supportedInterfaces": [
{
"url": "https://academic-research-intel-production.up.railway.app/",
"protocolBinding": "HTTP+JSON"
}
],
"version": "1.0.0",
"capabilities": {
"streaming": false,
"pushNotifications": false,
"stateTransitionHistory": true
},
"defaultInputModes": [
"application/json"
],
"defaultOutputModes": [
"application/json",
"text/plain"
],
"skills": [
{
"id": "overview",
"name": "overview",
"description": "Free overview - OpenAlex stats and agent info",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {},
"additionalProperties": false
}
},
{
"id": "search-papers",
"name": "search-papers",
"description": "Search academic papers by keyword, title, or DOI",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query (keyword, title, or DOI)"
},
"limit": {
"default": 10,
"description": "Max results (1-50)",
"type": "number"
},
"year": {
"description": "Filter by publication year",
"type": "number"
},
"sort": {
"default": "relevance_score",
"type": "string",
"enum": [
"cited_by_count",
"publication_date",
"relevance_score"
]
}
},
"required": [
"query",
"limit",
"sort"
],
"additionalProperties": false
}
},
{
"id": "author-lookup",
"name": "author-lookup",
"description": "Get author profile with publications and citation metrics",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"name": {
"description": "Author name to search",
"type": "string"
},
"orcid": {
"description": "ORCID identifier (0000-0000-0000-0000)",
"type": "string"
}
},
"additionalProperties": false
}
},
{
"id": "institution-lookup",
"name": "institution-lookup",
"description": "Get institution profile with research output and rankings",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"name": {
"description": "Institution name",
"type": "string"
},
"rorId": {
"description": "ROR identifier",
"type": "string"
},
"country": {
"description": "Filter by country code (US, UK, DE, etc)",
"type": "string"
},
"type": {
"type": "string",
"enum": [
"education",
"healthcare",
"company",
"government",
"nonprofit"
]
}
},
"additionalProperties": false
}
},
{
"id": "trending-topics",
"name": "trending-topics",
"description": "Get trending research topics and concepts with paper counts",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"field": {
"description": "Filter by field (e.g., \"Computer Science\", \"Medicine\")",
"type": "string"
},
"limit": {
"default": 20,
"description": "Number of topics to return",
"type": "number"
}
},
"required": [
"limit"
],
"additionalProperties": false
}
},
{
"id": "paper-analysis",
"name": "paper-analysis",
"description": "Deep analysis of a paper with citations, references, and related work",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"paperId": {
"description": "OpenAlex work ID (W1234567890)",
"type": "string"
},
"doi": {
"description": "DOI of the paper",
"type": "string"
}
},
"additionalProperties": false
}
},
{
"id": "analytics",
"name": "analytics",
"description": "Payment analytics summary",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"windowMs": {
"description": "Time window in ms",
"type": "number"
}
},
"additionalProperties": false
}
},
{
"id": "analytics-transactions",
"name": "analytics-transactions",
"description": "Recent payment transactions",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"windowMs": {
"type": "number"
},
"limit": {
"default": 50,
"type": "number"
}
},
"required": [
"limit"
],
"additionalProperties": false
}
},
{
"id": "analytics-csv",
"name": "analytics-csv",
"description": "Export payment data as CSV",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"text/plain"
],
"streaming": false,
"x_input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"windowMs": {
"type": "number"
}
},
"additionalProperties": false
}
}
],
"supportsAuthenticatedExtendedCard": false,
"entrypoints": {
"overview": {
"description": "Free overview - OpenAlex stats and agent info",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {},
"additionalProperties": false
}
},
"search-papers": {
"description": "Search academic papers by keyword, title, or DOI",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query (keyword, title, or DOI)"
},
"limit": {
"default": 10,
"description": "Max results (1-50)",
"type": "number"
},
"year": {
"description": "Filter by publication year",
"type": "number"
},
"sort": {
"default": "relevance_score",
"type": "string",
"enum": [
"cited_by_count",
"publication_date",
"relevance_score"
]
}
},
"required": [
"query",
"limit",
"sort"
],
"additionalProperties": false
}
},
"author-lookup": {
"description": "Get author profile with publications and citation metrics",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"name": {
"description": "Author name to search",
"type": "string"
},
"orcid": {
"description": "ORCID identifier (0000-0000-0000-0000)",
"type": "string"
}
},
"additionalProperties": false
}
},
"institution-lookup": {
"description": "Get institution profile with research output and rankings",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"name": {
"description": "Institution name",
"type": "string"
},
"rorId": {
"description": "ROR identifier",
"type": "string"
},
"country": {
"description": "Filter by country code (US, UK, DE, etc)",
"type": "string"
},
"type": {
"type": "string",
"enum": [
"education",
"healthcare",
"company",
"government",
"nonprofit"
]
}
},
"additionalProperties": false
}
},
"trending-topics": {
"description": "Get trending research topics and concepts with paper counts",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"field": {
"description": "Filter by field (e.g., \"Computer Science\", \"Medicine\")",
"type": "string"
},
"limit": {
"default": 20,
"description": "Number of topics to return",
"type": "number"
}
},
"required": [
"limit"
],
"additionalProperties": false
}
},
"paper-analysis": {
"description": "Deep analysis of a paper with citations, references, and related work",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"paperId": {
"description": "OpenAlex work ID (W1234567890)",
"type": "string"
},
"doi": {
"description": "DOI of the paper",
"type": "string"
}
},
"additionalProperties": false
}
},
"analytics": {
"description": "Payment analytics summary",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"windowMs": {
"description": "Time window in ms",
"type": "number"
}
},
"additionalProperties": false
}
},
"analytics-transactions": {
"description": "Recent payment transactions",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"windowMs": {
"type": "number"
},
"limit": {
"default": 50,
"type": "number"
}
},
"required": [
"limit"
],
"additionalProperties": false
}
},
"analytics-csv": {
"description": "Export payment data as CSV",
"streaming": false,
"input_schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"windowMs": {
"type": "number"
}
},
"additionalProperties": false
}
}
},
"payments": [
{
"method": "x402",
"payee": "0xE5312919e63109c9dDBa2Ea7cf75EC9B3d5D3A14",
"network": "base",
"endpoint": "https://facilitator.daydreams.systems",
"extensions": {
"x402": {
"facilitatorUrl": "https://facilitator.daydreams.systems"
}
}
}
]
}