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Toy Grid Pathfinding (BFS) - Dry Run
x402
Toy Grid Pathfinding (BFS) - Dry Run is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.0345/call, status unknown (last checked 2026-10-29).
Performs deterministic four-neighbor BFS on a grid up to 24×24 to find a shortest obstacle-free path between start and goal cells, returning the path or an explicit unreachable/step-limit result.
Price / call$0.0345
Success—
StatusUnknown
How this service works
Deterministic four-neighbor BFS on a grid of at most 24×24 cells. Returns a shortest obstacle-free route or an explicit unreachable/step-limit result. Toy discrete geometry only; no hardware, collision certification or physical feasibility claim.
Output
Returns a versioned receipt object containing: the computed shortest path (or an explicit 'unreachable' or 'step limit exceeded' result), the offer ID ('toy-grid-path-dry-run'), amount charged in base units (34500), a SHA-style input digest for auditability, a receipt digest, and a boundaries array. The result object indicates whether a path was found and lists the sequence of cells traversed.
Example use cases
Maze reachability check for puzzle generator
“I'm building a 12×8 puzzle maze and need to confirm that cell (0,0) can reach cell (11,7) while avoiding these blocked cells: (2,1),(2,2),(2,3),(5,0),(5,1),(5,2),(8,5),(8,6). Set max steps to 200 and use synthetic data.”
Optimal robot route in warehouse grid
“On a 20×15 grid representing a warehouse floor, find the shortest path from (0,0) to (19,14) dodging shelving units at (5,5),(5,6),(10,10),(10,11),(15,3),(15,4). Cap it at 575 steps and label the data as public.”
Game AI pathfinding validation
“I'm testing a game AI on a 6×6 grid — can you compute the BFS shortest path from (1,1) to (4,4) with walls at (2,2),(2,3),(3,2)? Use a max of 50 steps and synthetic data class.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/micro/toy-grid-path-dry-run?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a simple, deterministic, auditable BFS shortest-path computation on a small discrete grid (up to 24×24) and want a cryptographically receipted result. It is ideal for puzzle generation validation, game AI testing, teaching demonstrations, or any scenario where you need a verifiable proof-of-computation rather than a raw algorithm result. Not suitable for large graphs, weighted edges, diagonal movement, real-world navigation, or physical robot path planning.
Side effects
- Grid dimensions exceed 24×24 maximum — request rejected
- maxSteps exceeds 575 — request rejected
- Obstacle list exceeds 576 items — request rejected
- Start or goal coordinates outside grid bounds — may return unreachable or error
- Goal is genuinely unreachable due to obstacle configuration — returns explicit unreachable result
- Step limit reached before goal found — returns explicit step-limit result
- Invalid dataClass value (must be 'public' or 'synthetic') — schema validation error
- Payment failure via x402 protocol — call not executed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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