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Solana Compute Unit Analyzer
x402
Solana Compute Unit Analyzer is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Analyzes Solana transaction compute unit consumption and utilization against the compute unit limit, returning headroom, utilization, and limit breach status.
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON analysis including compute_unit_limit, units_consumed, headroom (remaining units), utilization_ppm (parts per million), and within_limit boolean for the Solana network, along with warnings that the analysis is based on caller-supplied observations rather than a simulation.
Example use cases
Detect compute budget exhaustion risk
“I have a Solana transaction that consumed 195000 compute units out of a 200000 limit — can you check the headroom and whether it's within the compute unit ceiling so I know if I need to optimize it?”
Monitor program efficiency over time
“Run a compute unit analysis on this Solana transaction data where I observed 120000 units consumed with a 200000 limit, and tell me the utilization rate so I can track whether my program is getting more efficient.”
Validate compute budget before deployment
“Before I deploy my Solana program, I want to check that a transaction consuming roughly 175000 compute units stays within the 200000 limit — can you analyze the headroom and confirm it won't exceed the budget?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/solana_compute_unit_analyze/invokeWhen to prefer
Use this endpoint when you need a quick, structured breakdown of Solana compute unit consumption from observed transaction data — especially when you want utilization_ppm, headroom, and a within-limit boolean without running a full on-chain simulation. It is ideal for agents monitoring Solana programs, validating compute budgets before deployment, or diagnosing near-limit transactions at $0.01 per call.
Side effects
- Malformed or invalid request_json input results in a parsing error
- Observations outside plausible Solana compute unit ranges may yield misleading utilization figures
- Missing required fields in the request JSON may cause the service to return an error or incomplete analysis
- Results reflect caller-supplied data accuracy, not an on-chain simulation — garbage-in, garbage-out risk
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| request_json | string |
Output
Schema · Response
{
"type": "json",
"example": {
"replay": false,
"result": {
"warnings": [
"Consumption and limits are supplied observations, not a simulation."
],
"service_id": "solana_compute_unit_analyze",
"analysis_json": "{\"compute_unit_limit\":\"200000\",\"headroom\":\"20000\",\"units_consumed\":\"180000\",\"utilization_ppm\":\"900000\",\"within_limit\":true}",
"evidence_scope": "caller_supplied_data",
"analyzed_network": "solana"
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "solana_compute_unit_analyze",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "88040a8712a4dd9a7165609186a117e578d9bb8c13ec68db31b607873727a65c",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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