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📊 Intel view 📋 Audit JSON 🔄 Changelog
85
A2A A2A 0.3 v1.0.0

PlantPredict

terabaseenergy.main-kill-isr.mintlify.me · PlantPredict
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Verify the domain terabaseenergy.main-kill-isr.mintlify.me 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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Trust score
47/100
grade D · 9 criteria
Uptime
100.0%
15 direct probes · 30d
Observed inflow · 30d
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
3 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 47/100
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 2/25
Card is valid but has no .url field.
How to earn +23 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.
Docs →
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
15/15 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: PlantPredict (https://docs.plantpredict.com/). 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 1d
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 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.

Card history

3 snapshots drifted 2× Every change to agent-card.json
Captured Hash
2026-08-19 11:05:12 current 93c99be8d8e0… view →
2026-08-15 19:22:25 69d412bfeef5… view →
2026-08-06 13:30:15 e329795fad68… view →
Uptime
100.0%
15 direct probes · 30d
Response
492ms
last direct probe
Skills
1
declared
Streaming
SSE-capable

Skills · 1 declared · mapped to canonical taxonomy

Terabaseenergy

Use when building solar energy predictions for utility-scale PV systems, configuring power plant designs, running performance simulations, analyzing results, or…

canonical Tabular Regression match 82%

Health · last 15 probes

When HTTP Live JSON-RPC Latency
2026-08-20 05:23:44 200 492ms
2026-08-19 11:05:12 200 489ms
2026-08-18 16:35:14 200 845ms
2026-08-17 13:30:01 200 510ms
2026-08-16 19:37:29 200 481ms
2026-08-15 19:22:25 200 640ms
2026-08-14 23:11:28 200 686ms
2026-08-13 23:46:37 200 1790ms
2026-08-13 00:55:17 200 534ms
2026-08-12 00:42:07 200 535ms

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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Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/terabaseenergy.main-kill-isr.mintlify.me.svg)](https://agenstry.com/agents/terabaseenergy.main-kill-isr.mintlify.me)
[![Verified Business](https://agenstry.com/badge/terabaseenergy.main-kill-isr.mintlify.me/identity.svg)](https://agenstry.com/agents/terabaseenergy.main-kill-isr.mintlify.me)
[![Uptime](https://agenstry.com/badge/terabaseenergy.main-kill-isr.mintlify.me/uptime.svg)](https://agenstry.com/agents/terabaseenergy.main-kill-isr.mintlify.me)
[![A2A version](https://agenstry.com/badge/terabaseenergy.main-kill-isr.mintlify.me/protocol.svg)](https://agenstry.com/agents/terabaseenergy.main-kill-isr.mintlify.me)

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": "PlantPredict",
  "url": "https://docs.plantpredict.com/",
  "version": "1.0.0",
  "protocolVersion": "0.3",
  "preferredTransport": "HTTP+JSON",
  "supportedInterfaces": [
    {
      "url": "https://docs.plantpredict.com/",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "url": "https://docs.plantpredict.com/",
    "organization": "PlantPredict"
  },
  "documentationUrl": "https://docs.plantpredict.com/",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain"
  ],
  "skills": [
    {
      "id": "terabaseenergy",
      "name": "Terabaseenergy",
      "description": "Use when building solar energy predictions for utility-scale PV systems, configuring power plant designs, running performance simulations, analyzing results, or automating workflows via API/SDK. Agents should reach for this skill when users need energy yield estimates, system design validation, shading analysis, or programmatic access to solar modeling.",
      "tags": [],
      "url": "https://docs.plantpredict.com/.well-known/agent-skills/terabaseenergy/skill.md"
    }
  ]
}