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Memory Write Guard
x402
Memory Write Guard is a paid API for AI agents from phion.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Screens proposed persistent agent-memory writes for poisoning attempts, missing provenance, secret leakage, and unsafe instructions before committing them
Price / call$0.002
Success—
StatusUnknown
How this service works
Screen persistent agent-memory writes for poisoning, missing provenance, secret requests and unsafe instructions
Output
Returns a safety verdict indicating whether the memory write is safe to proceed, along with detected threat categories (poisoning, missing provenance, secret leakage, unsafe instructions), specific flagged content or fields, and a recommended action (allow, block, or redact-then-write).
Example use cases
Guarding RAG memory from injected content
“I'm about to store a chunk of text retrieved from an external website into my long-term memory — can you check it first for prompt injection, missing provenance tags, or any embedded secrets before I commit it?”
Blocking untrusted task-handoff from corrupting memory
“Another agent just handed me a task summary and I want to write it to my memory store — screen it for poisoning attempts or unsafe instructions that might hijack my future behavior.”
Enforcing provenance policy on memory updates
“My policy requires all memory writes to have declared source provenance — check this payload and tell me if provenance is missing or forged before I allow the write to go through.”
Technical details
Endpoint
POSThttps://phion.systems/v1/paid/trust/memory-write-guardWhen to prefer
Choose this endpoint when an autonomous agent is about to commit content to persistent memory and that content originates from untrusted or external sources — such as tool outputs, web retrievals, user-supplied data, or inter-agent handoffs. It is especially valuable in multi-agent pipelines where one agent's memory can influence another's future behavior, and in RAG systems where retrieved content could carry adversarial payloads. Prefer it over generic input-validation tools because it is specifically tuned for agent memory semantics including provenance integrity, secret indicators, and instruction-hijacking patterns.
Side effects
- Malformed or empty payload body returns a validation error
- Missing required schema fields causes rejection with field-level error detail
- Ambiguous provenance metadata may produce a low-confidence flag rather than a hard block
- Very large memory payloads may hit size limits and require chunking
- Novel obfuscation techniques for prompt injection may evade detection and return a false safe verdict
Input
Schema · Request body
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object"
}Tags
x402
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