Anicca Focus Coach

x402

Anicca Focus Coach is a paid API for AI agents from x402-agents-production.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Given a work situation, energy level, available time, and optional blocker, returns a diagnosis, a tiny first action, and an environment design tip to help an autonomous agent or user break through task inertia.

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Small paid JSON tools for autonomous agents, settled in USDC over x402.

Output

Returns a JSON object with a unique focus_id, a diagnosis object identifying the primary blocker and explaining it, a tiny_action object with a concrete starter action (≤20 seconds), an implementation intention anchor phrase, a safe_T flag indicating whether emotional safety concerns are detected, and an environment_design string with a workspace adjustment suggestion.

Example use cases

Breaking procrastination on deep work

“I'm supposed to be drafting a technical spec but I've been avoiding it for an hour. I have high energy and 90 minutes free, and my blocker is that the scope feels overwhelming. Give me a tiny action and an environment tip to get me going.”

Low-energy afternoon productivity nudge

“It's 3pm, I'm running on low energy, and I have 20 minutes before my next meeting. I need to respond to a backlog of emails but can't seem to start. What's the smallest action I can take right now, and how should I set up my space?”

Agent-driven focus session setup

“My user is about to start a coding session — they have medium energy and 2 hours available, and their main blocker is that their IDE has too many open files. Generate a focus diagnosis and a micro-action in Japanese to get them into flow state.”

Technical details

Endpoint

POSThttps://x402-agents-production.up.railway.app/focus-coach

When to prefer

Choose this endpoint when an agent or user is experiencing task inertia or procrastination and needs a behaviorally-grounded micro-intervention — specifically a concrete first action small enough to take in under 20 seconds, an implementation intention, and an environment design nudge. Prefer it over generic to-do or scheduling tools when the bottleneck is psychological (distraction, overwhelm, low motivation) rather than organizational. It is particularly well-suited for agents that support human productivity workflows, digital coaches, or AI assistants that monitor task progress and detect stalling behavior.

Side effects

Missing required 'situation' field or value shorter than 5 characters returns a validation error
Invalid enum value for energy_level or language returns a 422 error
situation or blocker exceeding character limits (1000/500) returns a payload too large error
Payment not settled via x402 results in a 402 Payment Required response
time_available_minutes outside range 1–480 causes a validation error
Ambiguous or very short situations may produce generic coaching output with low specificity

Input

Schema · Request body

Field	Type	Description
blocker	string
language	string	Output language.
situation	string
energy_level	string
time_available_minutes	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "focus_id": "fcs_a1b2c3d4",
    "diagnosis": {
      "explanation": "Competing tab prompts interrupt the start cue.",
      "primary_blocker": "prompt"
    },
    "safe_t_flag": false,
    "tiny_action": {
      "action": "Write the proposal title in a blank document.",
      "anchor": "After I close the extra tabs, I will write the proposal title.",
      "duration_seconds": 20
    },
    "environment_design": "Keep only the proposal document visible."
  }
}

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How this service works

Small paid JSON tools for autonomous agents, settled in USDC over x402.

Output

Example use cases

Breaking procrastination on deep work

Low-energy afternoon productivity nudge

Agent-driven focus session setup

Technical details

Endpoint

POSThttps://x402-agents-production.up.railway.app/focus-coach

When to prefer

Side effects

Missing required 'situation' field or value shorter than 5 characters returns a validation error
Invalid enum value for energy_level or language returns a 422 error
situation or blocker exceeding character limits (1000/500) returns a payload too large error
Payment not settled via x402 results in a 402 Payment Required response
time_available_minutes outside range 1–480 causes a validation error
Ambiguous or very short situations may produce generic coaching output with low specificity

Input

Schema · Request body

Field	Type	Description
blocker	string
language	string	Output language.
situation	string
energy_level	string
time_available_minutes	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "focus_id": "fcs_a1b2c3d4",
    "diagnosis": {
      "explanation": "Competing tab prompts interrupt the start cue.",
      "primary_blocker": "prompt"
    },
    "safe_t_flag": false,
    "tiny_action": {
      "action": "Write the proposal title in a blank document.",
      "anchor": "After I close the extra tabs, I will write the proposal title.",
      "duration_seconds": 20
    },
    "environment_design": "Keep only the proposal document visible."
  }
}