13 Services from aient.ai

Search OpenTelemetry log records across services using full-text queries and attribute filters, returning up to 200 matching log entries

Lists services, operations, or span/log attribute keys in an OpenTelemetry corpus with counts to guide further querying

Detects statistical anomalies in error rate, latency, or throughput for your services using windowed regression — the same algorithm Aient uses internally to identify problems.

Query and filter OpenTelemetry traces ingested by your Aient organisation, returning up to 100 trace summaries per call

Lists all Aient-detected error problems for your organisation, grouped by error signature with first-seen, last-seen, occurrence count, and priority.

Fetches all spans for a given traceId so an agent can walk the full distributed call tree and pinpoint the failing component.

Returns a consolidated service-health summary across all monitored services, including error rates and p50/p95/p99 latency percentiles with a 24-hour trend, in a single call.

Verifies an Aient ingest key is configured correctly by echoing a synthetic OpenTelemetry event back to the caller.

Diagnoses a production issue on a GitHub-hosted service by correlating OpenTelemetry traces and logs with recent commits to return root-cause evidence and a recommended next step.

Registers an autonomous agent as an Aient principal using its wallet address, provisions an organisation, and returns the telemetry-ingest endpoint and first environment key.

Mints a new publishable OpenTelemetry ingest key for an Aient environment, returned once for immediate storage.

Opens an agentic onboarding session for an autonomous agent, minting a one-time session token, provisioning the organisation if needed, and returning the GitHub App human-approval URL.

Synthesizes a production incident record from a provided stack trace and logs, then autonomously attempts to generate a fix PR.