mydev-tools Habit Analyze

x402

mydev-tools Habit Analyze is a paid API for AI agents from api.mydev-tools.tech, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-28).

Analyzes user habit data to produce intelligence insights about behavioral patterns and habit performance.

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

Habit intelligence analysis (USDC on Base).

Output

Returns a structured habit intelligence report including pattern analysis, consistency scores, trend data, and behavioral insights derived from the submitted habit data.

Example use cases

Weekly habit performance review

“Analyze my habit data from this past week and give me a full breakdown of how consistent I've been, which habits are holding strong, and which ones I'm falling behind on.”

Identify habit failure patterns

“I've been struggling to stick to my routines — can you analyze my habit history and identify what behavioral patterns are causing me to fail at certain habits?”

Monthly self-improvement audit

“Run an analysis on my habits over the past month and give me an intelligence report with scores, trends, and which behaviors are actually sticking versus which are slipping.”

Technical details

Endpoint

POSThttps://api.mydev-tools.tech/agent/v1/habits/analyze?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a deep analytical breakdown of habit data — including patterns, trends, and scoring — rather than just fetching raw habit records or generating a forward-looking plan. Prefer it over habits.insights for raw pattern detection versus narrative summaries, and over habits.plan when the goal is retrospective analysis rather than future scheduling.

Side effects

Invalid or missing habit data input returns a 400 error
Malformed request body causes parsing failure
Payment not received or insufficient USDC triggers 402 Payment Required
Server-side analysis failure returns 500 error
Empty habit history may return minimal or empty insights

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "watchouts": [
      "Completion dips below 0.6 on weekends."
    ],
    "highlights": [
      "Morning run is 9 days into a streak, approaching its best of 21."
    ],
    "recommendations": [
      "Pre-commit a fixed weekend start time to protect the streak."
    ],
    "aggregate_summary": {
      "momentum": "building",
      "habits_tracked": 1,
      "average_completion_rate": 0.72
    }
  }
}

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Example use cases

Weekly habit performance review

“Analyze my habit data from this past week and give me a full breakdown of how consistent I've been, which habits are holding strong, and which ones I'm falling behind on.”

Identify habit failure patterns

“I've been struggling to stick to my routines — can you analyze my habit history and identify what behavioral patterns are causing me to fail at certain habits?”

Monthly self-improvement audit

“Run an analysis on my habits over the past month and give me an intelligence report with scores, trends, and which behaviors are actually sticking versus which are slipping.”

Technical details

Endpoint

POSThttps://api.mydev-tools.tech/agent/v1/habits/analyze?utm_source=zero.xyz

When to prefer

Side effects

Invalid or missing habit data input returns a 400 error
Malformed request body causes parsing failure
Payment not received or insufficient USDC triggers 402 Payment Required
Server-side analysis failure returns 500 error
Empty habit history may return minimal or empty insights

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "watchouts": [
      "Completion dips below 0.6 on weekends."
    ],
    "highlights": [
      "Morning run is 9 days into a streak, approaching its best of 21."
    ],
    "recommendations": [
      "Pre-commit a fixed weekend start time to protect the streak."
    ],
    "aggregate_summary": {
      "momentum": "building",
      "habits_tracked": 1,
      "average_completion_rate": 0.72
    }
  }
}