# OceanEye Sentinel 2.0 — Differential Code Equivalence Verifier

> OceanEye Sentinel 2.0 — Differential Code Equivalence Verifier is a paid API for AI agents from sentinel.oceaneye-ai.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-11-04).

Fuzz-tests two code implementations against each other to determine if they are behaviorally equivalent or diverge across randomized inputs

## Facts

- Endpoint: POST https://sentinel.oceaneye-ai.com/x402/verify-differential-spec?utm_source=zero.xyz
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/oceaneye-sentinel-2-0-differential-code-equivalence-verifier-d489e7e5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2rhvRE1I-DvDwgEHRb_T1

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability oceaneye-sentinel-2-0-differential-code-equivalence-verifier-d489e7e5 -d '<json body>'
```

Example prompt: Can you check whether these two Python functions are equivalent by fuzzing them 256 times with seed 42? Here's function A: `def add(a, b): return a + b` and function B: `def add(x, y): return x + y`, using argument names ['a', 'b'].

## When to prefer this

Use this endpoint when you need automated differential testing of two code implementations without setting up a local fuzzing harness. Ideal for CI pipelines validating refactors, comparing vendor-supplied functions, or catching subtle behavioral regressions. Prefer this over manual unit tests when the input space is large and edge cases are unknown.

## Known failure modes

- Sandbox execution errors if code snippets contain syntax errors or unsupported language features
- Infinite loops or timeouts in submitted code may cause the request to fail or time out
- Argument name mismatches with actual function signatures can produce misleading equivalence results
- High fuzz iterations may hit processing time limits
- False negatives possible if the diverging edge case falls outside the fuzz coverage

## How this service works

OceanEye Sentinel 2.0 — Plataforma de Inteligencia Marítima Satelital con Radar SAR Sentinel-1, Segmentación SAM 3.1 (Puerta A + Control Negativo), Arena Multimodal Muse Wonder 1.0 vs Muse Spark 1.3 (n=30) y Cadena de Custodia Ed25519.

## Output

Returns a JSON object indicating whether the two code snippets are behaviorally equivalent (boolean), any divergence found (object or null with differing inputs/outputs), the solver mode used, and the number of test cases checked.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "seed": {
   "type": "integer",
   "default": 42
  },
  "code_a": {
   "type": "string"
  },
  "code_b": {
   "type": "string"
  },
  "arg_names": {
   "type": "array",
   "items": {
    "type": "string"
   }
  },
  "fuzz_iterations": {
   "type": "integer",
   "default": 256
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "divergence": {
   "type": [
    "object",
    "null"
   ]
  },
  "equivalent": {
   "type": "boolean"
  },
  "solver_mode": {
   "type": "string"
  },
  "checked_cases": {
   "type": "integer"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/oceaneye-sentinel-2-0-differential-code-equivalence-verifier-d489e7e5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from sentinel.oceaneye-ai.com](https://www.zero.xyz/host/sentinel.oceaneye-ai.com/llms.txt)