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Maha Strategies Materials Particle-Size Summary
x402
Maha Strategies Materials Particle-Size Summary is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.015001/call, status unknown (last checked 2026-10-21).
Summarizes supplied particle-size distributions (up to 128 data points) with number, mass, or volume weighting, returning statistical summaries and boundary arrays.
Price / call$0.015001
Success—
StatusUnknown
How this service works
Summarize supplied particle-size distributions while preserving number, mass or volume weighting. For metrology-data analysis; no toxicology or safety inference.
Output
Returns a structured summary object containing weighted statistical descriptors of the particle-size distribution (e.g., mean, percentiles, mode), a boundaries array of up to 128 values, an offer ID confirming the service used, an input digest for traceability, and a receipt digest for payment verification.
Example use cases
Powder characterization for manufacturing QC
“I have laser diffraction data for a ceramic powder batch: diameters [0.5, 1.0, 2.0, 5.0, 10.0, 20.0] micrometers with number weights [50, 200, 500, 300, 100, 20]. Summarize this distribution using volume weighting — this is public data.”
Pharmaceutical excipient PSD analysis
“Can you summarize this particle-size distribution for a synthetic pharmaceutical excipient? Diameters are [2.0, 4.0, 8.0, 16.0, 32.0] micrometers, weights are [10, 80, 300, 150, 30], and I need mass weighting.”
Comparing number-weighted PSD for pigment research
“Summarize my pigment particle-size data with number weighting. The diameters in micrometers are [0.3, 0.6, 1.2, 2.4, 4.8] and the weights are [500, 1200, 800, 200, 40]. Data class is synthetic.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/micro/materials-particle-size-summary?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, auditable statistical summary of a particle-size distribution with explicit weighting control (number, volume, or mass). It is purpose-built for metrology and materials characterization workflows, not toxicology or safety inference. Prefer it over general-purpose statistics services when you need PSD-specific boundary and percentile outputs with a traceable digest for scientific reproducibility.
Side effects
- Mismatched array lengths between diametersMicrometers and weights — returns validation error
- Arrays exceeding 128 items — rejected by schema constraint
- Invalid weighting enum value (not number/volume/mass) — schema error
- Invalid dataClass value — schema error
- Missing required fields in body — 400-level error
- Non-positive or non-numeric diameter/weight values — may return computation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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