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📊 Intel view 📋 Audit JSON 🔄 Changelog
55
A2A A2A 0.3 v1.0.0

fal

docs.fal.ai · fal
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Verify the domain docs.fal.ai 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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🔔 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
55/100
grade D · 9 criteria
Uptime
100.0%
26 direct probes · 30d
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
6 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 55/100
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).
partial Live JSON-RPC 10/25
Card declares only gRPC / HTTP+JSON interfaces; the live probe covers JSON-RPC, so the endpoint was not exercised. Not a defect in the card.
How to earn +15 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 0.3 (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
26/26 probes succeeded (100% uptime).
partial Skill declaration 6/10
Declares 1 skill, usable but thin. 1 skill without tags — optional in 0.x, REQUIRED once you move the card to v1.0.
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 →
partial Verified Identity 5/10
Provider declared: fal (https://fal.ai/docs/). 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 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

6 snapshots drifted 5× Every change to agent-card.json
Captured Hash
2026-10-03 08:23:54 current 68a99b25dde4… view →
2026-10-02 06:57:43 ad4570feba06… view →
2026-10-01 19:37:38 e279bd383c96… view →
2026-09-29 11:02:16 d38c130d8834… view →
2026-09-25 19:21:28 f3cfc73622c5… view →
2026-09-23 16:23:45 ce4c5fd04fcb… view →
Uptime
100.0%
26 direct probes · 30d
Response
820ms
last direct probe
Skills
1
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://docs.fal.ai/.well-known/agent-card.json
Providerhttps://fal.ai/docs/
Docshttps://fal.ai/docs/
Discovered via
manifests recrawl_hot

Skills · 1 declared · mapped to canonical taxonomy

fal

Use when building AI applications that call pre-trained models (image, video, audio generation) via Model APIs, or when deploying custom AI models and inference…

orphan: no canonical match yet

Health · last 26 probes

When HTTP Live JSON-RPC Latency
2026-10-05 15:40:03 200 — 820ms
2026-10-05 07:34:46 200 — 720ms
2026-10-04 23:17:14 200 — 910ms
2026-10-04 16:50:42 200 — 919ms
2026-10-04 09:55:44 200 — 910ms
2026-10-04 03:29:57 200 — 607ms
2026-10-03 21:37:37 200 — 2104ms
2026-10-03 14:35:40 200 — 738ms
2026-10-03 08:23:54 200 — 680ms
2026-10-03 02:21:10 200 — 828ms

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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/docs.fal.ai.svg)](https://agenstry.com/agents/docs.fal.ai)
[![Verified Business](https://agenstry.com/badge/docs.fal.ai/identity.svg)](https://agenstry.com/agents/docs.fal.ai)
[![Uptime](https://agenstry.com/badge/docs.fal.ai/uptime.svg)](https://agenstry.com/agents/docs.fal.ai)
[![A2A version](https://agenstry.com/badge/docs.fal.ai/protocol.svg)](https://agenstry.com/agents/docs.fal.ai)

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": "fal",
  "url": "https://fal.ai/docs/",
  "version": "1.0.0",
  "protocolVersion": "0.3",
  "preferredTransport": "HTTP+JSON",
  "supportedInterfaces": [
    {
      "url": "https://fal.ai/docs/",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "url": "https://fal.ai/docs/",
    "organization": "fal"
  },
  "documentationUrl": "https://fal.ai/docs/",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain"
  ],
  "skills": [
    {
      "id": "fal",
      "name": "fal",
      "description": "Use when building AI applications that call pre-trained models (image, video, audio generation) via Model APIs, or when deploying custom AI models and inference servers on GPU infrastructure via Serverless. Reach for this skill when agents need to integrate generative AI, manage deployments, configure scaling, or troubleshoot production workloads.",
      "tags": [],
      "url": "https://fal.ai/docs/.well-known/agent-skills/fal/skill.md"
    }
  ]
}