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Robotics Telemetry Source Coverage Map
x402
Robotics Telemetry Source Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035219/call, status unknown (last checked 2026-10-16).
Binds telemetry record references to an exact owner/subject/revision/content/source frame and produces a hash-based source coverage map for robot/frame/clock/calibration-pinned telemetry data.
Price / call$0.035219
Success—
StatusUnknown
How this service works
Bind record references to an exact owner/subject/revision/content/source frame; hash-shaped strings are declarations, not independently verified source bytes for robot/frame/clock/calibration-pinned telemetry export Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a hash-shaped source coverage map declaring the binding of each supplied telemetry row to its owner, subject, revision, content, and source frame. The result is a declared analysis of the supplied records, not independent certification of underlying source bytes.
Example use cases
Synthetic dataset source audit
“I've got 15 synthetic telemetry records from our robot arm dataset and 8 declared source references — can you map out which rows are covered by which source frames and give me the full coverage breakdown for non-personal synthetic data?”
Calibration frame provenance binding
“We need to bind our robot calibration telemetry rows — all 25 of them — to their declared owner and revision references before we publish the dataset; the data class is synthetic and there's no personal metadata involved.”
Pre-export coverage check for public telemetry
“Before we export this batch of 30 public robotics telemetry records, can you run a source coverage map to confirm every row is bound to the right subject, content, and clock frame across our 12 declared sources?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/robotics-telemetry/source-coverage-map?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to produce a structured source coverage map for a batch of robotics telemetry records — specifically when working with declared owner/subject/revision/content/source bindings for synthetic or public data with no personal metadata. It is distinct from general data validation or audit tools because it is scoped to robot/frame/clock/calibration-pinned telemetry export contexts.
Side effects
- More than 32 rows or 32 sources submitted — request rejected due to array size limits
- dataClass value other than 'public' or 'synthetic' — enum validation error
- nonpersonalMetadata not set to true (const) — validation failure
- Malformed row or source reference objects — schema validation error
- Empty rows or sources arrays — minItems constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| sources | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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