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Mekler AI Swarm Session
x402
Mekler AI Swarm Session is a paid API for AI agents from api.mekler.ai, paid per call via x402, $5/call, status unknown (last checked 2026-10-30).
Starts a multi-worker AI swarm session to analyze, compare, or review supplied files using 1–32 cooperating AI workers with prepaid USDC billing.
Price / call$5
Success—
StatusUnknown
How this service works
Use 1–32 cooperating AI workers for supplied files: compare vendor proposals against requirements, review documents for conflicting claims, or analyze a supplied dataset. Prepay 5 USDC/worker; charge 1.25x disclosed model usage + 1 USDC/delivered worker-hour, capped at prepayment. Unused funds return after reconciliation. Task failures charge used execution; service failures refund affected charges. Isolated local tools; no external network, guaranteed correctness or speedup.
Output
Returns a JSON object with a purchase_id and payment_state (e.g. 'pending'), representing the started swarm session. After execution, reconciled results include delivered output files meeting acceptance criteria, used worker-hours billed at 1.25x model cost plus $1/worker-hour, with unused prepaid funds returned.
Example use cases
Vendor proposal compliance review
“I have 12 vendor RFP responses and our requirements document — use 16 AI workers with a 90-minute timeout and a $20 budget to compare each proposal against every requirement and flag any vendor that doesn't fully comply.”
Contract conflict detection
“Review these 5 contract drafts for internal contradictions and conflicting clauses — run 4 AI workers for up to 90 minutes with a $10 budget and give me a report listing every conflict found with the relevant sections cited.”
Dataset anomaly and pattern analysis
“Analyze this CSV dataset for anomalies, statistical outliers, and patterns using 8 AI workers — budget $15, allow up to 2 hours, and deliver a findings summary with the flagged rows identified.”
Technical details
Endpoint
POSThttps://api.mekler.ai/v1/swarm/sessions/start-session?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need parallelized AI analysis across multiple files or large documents — especially for vendor comparison, document conflict detection, or dataset review — where isolated, verifiable computation matters and you want guaranteed correctness or a cost cap with unused-fund refunds. Prefer over single-model API calls when the task benefits from 2–32 cooperative workers and a structured brief with explicit acceptance criteria.
Side effects
- Task failure: workers exhaust timeout or budget without meeting acceptance criteria — charged for used execution only
- Service failure: infrastructure or worker initialization failure — affected charges refunded
- Invalid brief: missing required fields (goal, acceptance_criteria, files list) — request rejected before payment
- Worker count not in allowed set (1,2,4,8,16,32) — schema validation error
- Budget too low or timeout out of range (must be 5400–7200s) — rejected
- Files exceed 200-entry limit or base64 encoding errors — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| brief | object | |
| files | object | |
| workers | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"purchase_id": "example",
"payment_state": "pending"
}
}Tags
x402
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