{ "data": { "a": { "slug": "honeyhive", "name": "HoneyHive", "vendor": "HoneyHive", "vendorUrl": "https://www.honeyhive.ai", "kind": "http-api", "category": "agent-observability", "summary": "Hosted tracing, evaluation, datasets and prompt management for agents, built on OpenTelemetry.", "url": "https://www.anchorterminal.com/tools/honeyhive", "markdownUrl": "https://www.anchorterminal.com/tools/honeyhive.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/honeyhive.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/honeyhive.json", "repo": "https://github.com/honeyhiveai/python-sdk", "license": "MIT (SDK, CLI and OpenAPI specs only, platform closed source)", "transports": [ "http" ], "remoteUrl": "https://api.dp1.us.honeyhive.ai", "packages": [ { "registry": "pypi", "name": "honeyhive" }, { "registry": "npm", "name": "honeyhive" } ], "auth": "api-key", "authNotes": "Bearer API keys in four types. Project keys (`hh_`) and read-only project keys (`hh_ro_`) for the data plane, ingestion keys (`hh_ingst_`) that can only send traces and events to one project, and fine-grained keys (`hh_fgcp_`) for the control plane, scoped to an organisation or workspace with chosen permissions and a required expiry of at most 365 days. Data plane at api.dp1.us.honeyhive.ai, control plane at api.cp.us.honeyhive.ai. Since 24 September 2026 invalid keys and permission failures return 404. Self-hosted deployments can use an OIDC identity provider.", "pricing": "freemium", "pricingNotes": "Free Developer plan with 10,000 events a month, up to 5 users and 30-day retention. An event is one trace span or one metric label. Enterprise is custom with unlimited users and workspaces, custom retention and self-hosting. No self-serve paid tier is published (https://www.honeyhive.ai/pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 60, "pypiWeekly": 2105, "asOf": "2026-09-30" }, "docsUrl": "https://docs.honeyhive.ai", "llmsTxt": "https://docs.honeyhive.ai/llms.txt", "openapi": "https://raw.githubusercontent.com/honeyhiveai/honeyhive-openapi/main/data_plane_openapi.yaml", "capabilities": [ "obs.traces", "obs.evals", "obs.prompts", "obs.datasets" ], "tags": [ "hosted", "freemium", "llms-txt", "openapi", "python", "typescript", "closed-source", "enterprise", "self-hosted" ], "lastRelease": "2026-09-29", "graded": true, "anchor": { "graded": true, "score": 55.7, "grade": "C", "agentReady": false, "rank": 649, "ranked": true, "rankOf": 950, "categoryRank": 13, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 77, "payments": 20, "reliability": 44, "schema": 86, "security": 61, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "2026-09-22 to 2026-09-24. The API stopped returning 401 for invalid, revoked or expired keys and 403 for permission failures, and now answers 404 for all of them, on every client version. It was announced in the CLI 1.7.0 changelog on 22 September and the product changelog on 24 September, with no deprecation window. -3 (https://github.com/honeyhiveai/honeyhive-cli/blob/main/CHANGELOG.md)" ], "verdict": "Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys. Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history.", "bestFor": "Teams that want OpenTelemetry tracing and evals with tight key scoping, drive the platform from a CLI and can talk to sales for volume.", "strengths": [ "Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys", "Public OpenAPI 3.1 specs for data plane and control plane under MIT, with an oasdiff-generated changelog", "CLI generated one to one from the specs, plus agent skills and Markdown docs", "Python SDK 1.6.1 and CLI 1.7.0 released in the last two weeks of September 2026", "Free plan with 30-day retention, 1,000 requests a minute and no card" ], "weaknesses": [ "Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history", "No MCP server for trace data, only a docs search MCP", "No self-serve paid tier, only Free and a sales-led Enterprise plan", "Since 24 September 2026 invalid keys and permission failures return 404, with no deprecation window", "Event search returns up to 1,000 rows by default with no field selection" ], "agentNotes": [ "Give the agent a read-only `hh_ro_` key for analysis and a separate `hh_ingst_` key for sending traces", "Treat a 404 as possibly a bad, revoked or expired key before assuming the record is missing", "Set `limit` on `POST /v1/events/search`. The default is 1,000 rows", "Use the CLI (`brew tap honeyhiveai/tap \u0026\u0026 brew install honeyhive`) from a coding agent. It maps one command to each API endpoint", "Control plane commands need an `hh_fgcp_` key and the control plane host api.cp.us.honeyhive.ai" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.7 } ], "editorialScores": { "ergonomics": 63, "maintenance": 77, "payments": 20, "reliability": 44, "schema": 86, "security": 61, "transparency": 54 }, "provenanceScore": 77 }, "connect": { "http": "curl https://api.dp1.us.honeyhive.ai/v1/datasets -H \"Authorization: Bearer $HH_API_KEY\"" }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/honeyhive" }, "area": "developer", "provenance": { "legalEntity": "HoneyHive Inc.", "domain": "honeyhive.ai", "domainRegistered": "2022-07-28", "endpointOnVendorDomain": true, "terms": "https://www.honeyhive.ai/legal/terms-of-service", "privacy": "https://www.honeyhive.ai/legal/privacy-policy", "statusPage": "https://status.honeyhive.ai", "changelog": "https://docs.honeyhive.ai/v2/changelog/product", "securityTxt": "none", "checked": "2026-09-30", "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/honeyhive.json", "live": { "slug": "honeyhive", "probe": { "target": "https://api.dp1.us.honeyhive.ai", "method": "get", "lastAt": "2026-10-10T03:53:30.091358122Z", "lastOk": true, "lastStatus": 404, "lastMs": 449, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 449, "p95ms24h": 508, "samples24h": 249, "samples30d": 2476, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.honeyhive.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:41.022435193Z" }, "versions": [ { "registry": "github", "name": "honeyhiveai/python-sdk", "version": "v1.7.0", "released": "2026-10-05", "seenAt": "2026-10-09T16:58:01.602718091Z" }, { "registry": "npm", "name": "honeyhive", "version": "1.0.45", "seenAt": "2026-10-09T16:58:00.677625039Z" }, { "registry": "pypi", "name": "honeyhive", "version": "1.7.0", "released": "2026-10-05", "seenAt": "2026-10-09T16:58:00.55552083Z" } ], "githubStars": 3, "npmWeekly": 165, "pypiWeekly": 1887, "securityTxt": { "url": "https://honeyhive.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:26.921214313Z" }, "llmsTxt": { "url": "https://docs.honeyhive.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:08.389957133Z" }, "domain": { "domain": "honeyhive.ai", "registered": "2022-07-28", "source": "https://rdap.identitydigital.services/rdap/domain/honeyhive.ai", "checkedAt": "2026-10-04T13:04:07.481546397Z" }, "pages": [ { "url": "https://docs.honeyhive.ai/v2/changelog/product", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:30.439623426Z", "changedAt": "2026-10-06T16:08:15.043187228Z", "fingerprint": "b4f7689cee2e" }, { "url": "https://www.honeyhive.ai/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-09T18:51:02.419491605Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "5861207b5e2f" }, { "url": "https://www.honeyhive.ai/legal/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-09T18:50:58.377260286Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "728d616153ce" }, { "url": "https://www.honeyhive.ai/legal/terms-of-service", "kind": "terms", "status": 304, "checkedAt": "2026-10-09T18:51:00.409457497Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "68e3e45c1001" } ], "updatedAt": "2026-10-10T03:53:30.091358122Z" } }, "answer": "MLflow Tracing scores 61.2 (C) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth.", "b": { "slug": "mlflow-tracing", "name": "MLflow Tracing", "vendor": "MLflow Project (LF Projects, LLC)", "vendorUrl": "https://mlflow.org", "kind": "http-api", "category": "agent-observability", "summary": "Open-source tracing, evaluation and prompt management for LLM applications and agents, part of MLflow, a Linux Foundation project. Owners run the server themselves, and agents read and annotate traces through an experimental MCP server or the `mlflow traces` CLI.", "url": "https://www.anchorterminal.com/tools/mlflow-tracing", "markdownUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json", "repo": "https://github.com/mlflow/mlflow", "license": "Apache-2.0", "transports": [ "stdio", "http" ], "packages": [ { "registry": "pypi", "name": "mlflow" }, { "registry": "pypi", "name": "mlflow-tracing" }, { "registry": "npm", "name": "@mlflow/core" } ], "auth": "mixed", "authNotes": "No authentication on a default server. Starting it with `mlflow server --app-name basic-auth` requires a username and password on every request, with role-based access control and no default admin password. The MCP server is a local stdio process that reads `MLFLOW_TRACKING_URI` and the MLflow credential environment variables, such as `MLFLOW_TRACKING_USERNAME` and `MLFLOW_TRACKING_PASSWORD`. Single sign-on needs a community plugin or a reverse proxy.", "pricing": "free", "pricingNotes": "Free to self-host under Apache-2.0, with no account or contract. The owner pays for compute, a database and artifact storage. The MLflow project sells nothing. Its README links managed MLflow from Databricks, Amazon SageMaker, Azure ML and Nebius, whose prices were not read (checked 2026-10-09).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository docs or the MCP server source (checked 2026-10-09).", "endpoints": [] }, "toolCount": 26, "popularity": { "githubStars": 28320, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://mlflow.org/docs/latest/genai/", "llmsTxt": "https://mlflow.org/docs/latest/llms.txt", "capabilities": [ "obs.traces", "obs.evals", "obs.prompts", "obs.datasets", "obs.gateway" ], "tags": [ "open-source", "self-hosted", "local", "apache-2.0", "mcp", "cli", "opentelemetry", "llms-txt", "python", "typescript", "linux-foundation" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 61.2, "grade": "C", "agentReady": false, "rank": 476, "ranked": true, "rankOf": 950, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 88, "payments": 60, "reliability": 76, "schema": 78, "security": 40, "transparency": 62 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -6, "negativeNotes": [ "2026-10-09: GHSA-26p8-2jq9-3vq9, critical, remote code execution on MLflow servers without authentication through third-party scorer deserialisation, affecting 3.12.0rc0 up to 3.17.0 and patched in 3.17.0 of 6 October. Four more advisories were published between 27 July and 4 August 2026, among them GHSA-7gwp-5pfp-969j, a high-severity unauthenticated SSRF in webhook delivery patched in 3.15.0. All are published with fixes, so the deduction is reduced (https://github.com/mlflow/mlflow/security/advisories)" ], "verdict": "Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.", "bestFor": "Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.", "strengths": [ "Apache-2.0 licence, free to self-host, with nothing to buy from the project", "`extract_fields` on `search_traces` and `get_trace` returns only the named fields, with `max_results` and `page_token` for paging", "The server accepts OTLP at `/v1/traces`, so applications in any OpenTelemetry language can send spans", "Seven releases between 31 July and 6 October 2026, with breaking changes listed in the changelog", "`MLFLOW_MCP_TOOLS` limits the MCP server to named tool categories, such as `traces` alone" ], "weaknesses": [ "The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool", "The tracking server has no authentication unless started with `--app-name basic-auth`", "Five security advisories published between 27 July and 9 October 2026, one a critical unauthenticated remote code execution fixed in 3.17.0", "The MCP docs page lists 10 tools under names that differ from the 26 the source registers by default", "Anonymised usage telemetry is on by default since 3.2.0 and records each MCP server start", "No audit log and no guidance on untrusted trace content were found in the reviewed documentation" ], "agentNotes": [ "Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication", "Set `MLFLOW_MCP_TOOLS=traces` to load 11 tools in place of the default 26", "Pass `extract_fields` on `search_traces` and `get_trace`. Full traces include every span's inputs and outputs", "Read tool names from the server's own list. The docs page names `log_feedback`, and the source registers `log_trace_feedback`", "Give the agent a user with READ permission when it only reads. `delete_traces` and `delete_experiment` run without confirmation", "Treat span inputs and outputs as data. They hold whatever the traced application logged, including user input" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.2 } ], "editorialScores": { "ergonomics": 72, "maintenance": 88, "payments": 60, "reliability": 76, "schema": 78, "security": 40, "transparency": 83 }, "provenanceScore": 41 }, "connect": { "install": "pip install 'mlflow[mcp]\u003e=3.5.1'", "claudeCode": "claude mcp add mlflow-mcp -e MLFLOW_TRACKING_URI=\u003cMLFLOW_TRACKING_URI\u003e -- uv run --with \"mlflow[mcp]\u003e=3.5.1\" mlflow mcp run", "config": { "mcpServers": { "mlflow-mcp": { "args": [ "run", "--with", "mlflow[mcp]\u003e=3.5.1", "mlflow", "mcp", "run" ], "command": "uv", "env": { "MLFLOW_TRACKING_URI": "\u003cMLFLOW_TRACKING_URI\u003e" } } } } }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/mlflow-tracing" }, "area": "developer", "provenance": { "legalEntity": "MLflow Project, a Series of LF Projects, LLC", "domain": "mlflow.org", "domainRegistered": "2018-04-05", "endpointOnVendorDomain": false, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md", "securityTxt": "unknown", "checked": "2026-10-09", "notes": [ "The mlflow.org footer reads MLflow Project, a Series of LF Projects, LLC.", "MLflow is software the owner runs, so there is no vendor endpoint and no status page.", "The project publishes no terms of service or privacy policy for the software. `terms` and `privacy` are left out and the Apache-2.0 licence stands in. The telemetry page refers to the LF Projects telemetry data policy.", "mlflow.org/.well-known/security.txt answered 403 from the site's storage. SECURITY.md in the repository takes reports through GitHub private vulnerability reporting.", "RDAP for mlflow.org gives a registration date of 2018-04-05 and 1API GmbH as registrar." ], "score": 41 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.json", "live": { "slug": "mlflow-tracing", "versions": [ { "registry": "github", "name": "mlflow/mlflow", "version": "v3.17.0", "released": "2026-10-07", "seenAt": "2026-10-09T17:06:56.716473096Z" }, { "registry": "npm", "name": "@mlflow/core", "version": "0.4.0", "seenAt": "2026-10-09T17:06:55.82052791Z" }, { "registry": "pypi", "name": "mlflow", "version": "3.17.0", "released": "2026-10-07", "seenAt": "2026-10-09T17:06:53.813494162Z" }, { "registry": "pypi", "name": "mlflow-tracing", "version": "3.17.0", "released": "2026-10-07", "seenAt": "2026-10-09T17:06:53.928988136Z" } ], "githubStars": 28331, "npmWeekly": 15392, "pypiWeekly": 4590348, "pages": [ { "url": "https://raw.githubusercontent.com/mlflow/mlflow/master/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:45:35.157905643Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "81678c02de88" } ], "updatedAt": "2026-10-09T18:45:35.157905643Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "HoneyHive", "b": "MLflow Project (LF Projects, LLC)", "name": "Vendor" }, { "a": "https://api.dp1.us.honeyhive.ai", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "stdio, HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT (SDK, CLI and OpenAPI specs only, platform closed source)", "b": "Apache-2.0", "name": "Licence" }, { "a": "none", "b": "26", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-29", "b": "2026-10-06", "name": "Last release" }, { "a": "2025-01-06", "b": "no document linked", "name": "Terms last updated" }, { "a": "2025-01-11", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "60 npm/wk, 2.1k PyPI/wk", "b": "28k stars", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "MLflow Tracing scores 61.2 (C) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth.", "question": "Which is better for AI agents, HoneyHive or MLflow Tracing?" }, { "answer": "HoneyHive needs an API key. MLflow Tracing takes an API key or an OAuth sign-in.", "question": "Do HoneyHive and MLflow Tracing need an API key?" }, { "answer": "HoneyHive has a hosted endpoint at https://api.dp1.us.honeyhive.ai. MLflow Tracing runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call HoneyHive and MLflow Tracing without installing anything?" }, { "answer": "No open-source release is listed for HoneyHive. MLflow Tracing is open source (Apache-2.0).", "question": "Are HoneyHive and MLflow Tracing open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 86 against 78", "Security \u0026 auth, 61 against 40" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Teams that want OpenTelemetry tracing and evals with tight key scoping, drive the platform from a CLI and can talk to sales for volume.", "slug": "honeyhive", "watchFor": "Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history" }, { "aheadOn": [ "Reliability, 76 against 44", "Agent ergonomics, 72 against 63", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 88 against 77" ], "also": [ "Runs on your own machine", "Open source" ], "goodFor": "Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.", "slug": "mlflow-tracing", "watchFor": "The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool" } ], "job": { "capability": "obs.traces", "name": "Agent tracing" }, "others": [ { "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-honeyhive.json", "title": "Arize Phoenix vs HoneyHive", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing.json", "title": "Arize Phoenix vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/baserun-vs-honeyhive.json", "title": "Baserun vs HoneyHive", "url": "https://www.anchorterminal.com/compare/baserun-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.json", "title": "Baserun vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-honeyhive.json", "title": "Braintrust API + MCP vs HoneyHive", "url": "https://www.anchorterminal.com/compare/braintrust-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.json", "title": "Braintrust API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/galileo-vs-honeyhive.json", "title": "Galileo API + MCP vs HoneyHive", "url": "https://www.anchorterminal.com/compare/galileo-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.json", "title": "Galileo API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/helicone-vs-honeyhive.json", "title": "Helicone AI Gateway + MCP vs HoneyHive", "url": "https://www.anchorterminal.com/compare/helicone-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing.json", "title": "Helicone AI Gateway + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-laminar.json", "title": "HoneyHive vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-laminar" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-langfuse.json", "title": "HoneyHive vs Langfuse API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-langfuse" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-langsmith.json", "title": "HoneyHive vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-langsmith" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-langwatch.json", "title": "HoneyHive vs LangWatch", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-langwatch" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-prefactor.json", "title": "HoneyHive vs Prefactor", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-pydantic-logfire.json", "title": "HoneyHive vs Pydantic Logfire", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-pydantic-logfire" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-respan.json", "title": "HoneyHive vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-respan" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-wandb-weave.json", "title": "HoneyHive vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.json", "title": "Laminar API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing.json", "title": "Langfuse API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing.json", "title": "LangSmith API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing.json", "title": "LangWatch vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.json", "title": "MLflow Tracing vs Prefactor", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire.json", "title": "MLflow Tracing vs Pydantic Logfire", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan.json", "title": "MLflow Tracing vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave.json", "title": "MLflow Tracing vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.json", "title": "DeepEval vs HoneyHive", "url": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.json", "title": "DeepEval vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing" } ], "scores": [ { "by": 32, "edge": "mlflow-tracing", "honeyhive": 44, "key": "reliability", "mlflow-tracing": 76, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "edge": "honeyhive", "honeyhive": 86, "key": "schema", "mlflow-tracing": 78, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 9, "edge": "mlflow-tracing", "honeyhive": 63, "key": "ergonomics", "mlflow-tracing": 72, "name": "Agent ergonomics", "weight": 13 }, { "by": 21, "edge": "honeyhive", "honeyhive": 61, "key": "security", "mlflow-tracing": 40, "name": "Security \u0026 auth", "weight": 14 }, { "by": 40, "edge": "mlflow-tracing", "honeyhive": 20, "key": "payments", "mlflow-tracing": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 11, "edge": "mlflow-tracing", "honeyhive": 77, "key": "maintenance", "mlflow-tracing": 88, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 4, "edge": "honeyhive", "honeyhive": 66, "key": "transparency", "mlflow-tracing": 62, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "MLflow Tracing scores 61.2 (C) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth. Both do agent tracing.", "verdicts": { "honeyhive": "Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys. Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history.", "mlflow-tracing": "Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing", "json": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.md", "slim": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.min.md" }, "markdown": "MLflow Tracing scores 61.2 (C) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth. Both do agent tracing.\n\n- HoneyHive: grade C, 55.7/100, rank #649 of 950. Markdown https://www.anchorterminal.com/tools/honeyhive.md · JSON https://www.anchorterminal.com/api/v1/tools/honeyhive.json\n- MLflow Tracing: grade C, 61.2/100, rank #476 of 950. Markdown https://www.anchorterminal.com/tools/mlflow-tracing.md · JSON https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json\n- Best agent tracing, monitoring and evaluation tools: https://www.anchorterminal.com/best/agent-observability/index.md\n- All 120 evals comparisons: https://www.anchorterminal.com/compare/agent-observability/index.md\n\n## Which one, for what\n\n### HoneyHive (C)\n\nGood for: Teams that want OpenTelemetry tracing and evals with tight key scoping, drive the platform from a CLI and can talk to sales for volume.\n\nAhead on:\n- Schema \u0026 documentation, 86 against 78\n- Security \u0026 auth, 61 against 40\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history\n\n### MLflow Tracing (C)\n\nGood for: Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.\n\nAhead on:\n- Reliability, 76 against 44\n- Agent ergonomics, 72 against 63\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 88 against 77\n\nAlso in its favour:\n- Runs on your own machine\n- Open source\n\nWatch for: The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool\n\n\n## Score by category\n\n| Category | Weight | HoneyHive | MLflow Tracing | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 44 | 76 | MLflow Tracing +32 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 86 | 78 | HoneyHive +8 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 72 | MLflow Tracing +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 61 | 40 | HoneyHive +21 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | MLflow Tracing +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 88 | MLflow Tracing +11 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 62 | HoneyHive +4 |\n| Negative events | ≤15 | -3 | -6 | |\n| **Total** | | **55.7 · C** | **61.2 · C** | |\n\n## Facts side by side\n\n| Fact | HoneyHive | MLflow Tracing |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | HoneyHive | MLflow Project (LF Projects, LLC) |\n| Hosted endpoint | `https://api.dp1.us.honeyhive.ai` | no (local only) |\n| Transports | HTTP | stdio, HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | MIT (SDK, CLI and OpenAPI specs only, platform closed source) | Apache-2.0 |\n| Tools exposed | none | 26 |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-29 | 2026-10-06 |\n| Terms last updated | 2025-01-06 | no document linked |\n| Privacy policy last updated | 2025-01-11 | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | yes | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 60 npm/wk, 2.1k PyPI/wk | 28k stars |\n| Agent reviews | 2.5/5 (2) | none |\n\n## Verdicts\n\n**HoneyHive.** Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys. Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history.\n\n**MLflow Tracing.** Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.\n\n## Before you call either\n\n### HoneyHive\n\n1. Give the agent a read-only `hh_ro_` key for analysis and a separate `hh_ingst_` key for sending traces\n2. Treat a 404 as possibly a bad, revoked or expired key before assuming the record is missing\n3. Set `limit` on `POST /v1/events/search`. The default is 1,000 rows\n4. Use the CLI (`brew tap honeyhiveai/tap \u0026\u0026 brew install honeyhive`) from a coding agent. It maps one command to each API endpoint\n5. Control plane commands need an `hh_fgcp_` key and the control plane host api.cp.us.honeyhive.ai\n\n### MLflow Tracing\n\n1. Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication\n2. Set `MLFLOW_MCP_TOOLS=traces` to load 11 tools in place of the default 26\n3. Pass `extract_fields` on `search_traces` and `get_trace`. Full traces include every span's inputs and outputs\n4. Read tool names from the server's own list. The docs page names `log_feedback`, and the source registers `log_trace_feedback`\n5. Give the agent a user with READ permission when it only reads. `delete_traces` and `delete_experiment` run without confirmation\n6. Treat span inputs and outputs as data. They hold whatever the traced application logged, including user input\n\n## Questions\n\n### Which is better for AI agents, HoneyHive or MLflow Tracing?\n\nMLflow Tracing scores 61.2 (C) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth.\n\n### Do HoneyHive and MLflow Tracing need an API key?\n\nHoneyHive needs an API key. MLflow Tracing takes an API key or an OAuth sign-in.\n\n### Can an agent call HoneyHive and MLflow Tracing without installing anything?\n\nHoneyHive has a hosted endpoint at https://api.dp1.us.honeyhive.ai. MLflow Tracing runs on your own machine, with no hosted endpoint listed.\n\n### Are HoneyHive and MLflow Tracing open source?\n\nNo open-source release is listed for HoneyHive. MLflow Tracing is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.json, and with the fewest tokens: https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"honeyhive\", \"b\": \"mlflow-tracing\"}`. From a terminal: `anchor compare honeyhive mlflow-tracing`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/honeyhive.json and https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json\n\n## Other comparisons with HoneyHive or MLflow Tracing\n\n- [Arize Phoenix vs HoneyHive](https://www.anchorterminal.com/compare/arize-phoenix-vs-honeyhive.md)\n- [Arize Phoenix vs MLflow Tracing](https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing.md)\n- [Baserun vs HoneyHive](https://www.anchorterminal.com/compare/baserun-vs-honeyhive.md)\n- [Baserun vs MLflow Tracing](https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.md)\n- [Braintrust API + MCP vs HoneyHive](https://www.anchorterminal.com/compare/braintrust-vs-honeyhive.md)\n- [Braintrust API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.md)\n- [Galileo API + MCP vs HoneyHive](https://www.anchorterminal.com/compare/galileo-vs-honeyhive.md)\n- [Galileo API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.md)\n- [Helicone AI Gateway + MCP vs HoneyHive](https://www.anchorterminal.com/compare/helicone-vs-honeyhive.md)\n- [Helicone AI Gateway + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing.md)\n- [HoneyHive vs Laminar API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-laminar.md)\n- [HoneyHive vs Langfuse API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-langfuse.md)\n- [HoneyHive vs LangSmith API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-langsmith.md)\n- [HoneyHive vs LangWatch](https://www.anchorterminal.com/compare/honeyhive-vs-langwatch.md)\n- [HoneyHive vs Prefactor](https://www.anchorterminal.com/compare/honeyhive-vs-prefactor.md)\n- [HoneyHive vs Pydantic Logfire](https://www.anchorterminal.com/compare/honeyhive-vs-pydantic-logfire.md)\n- [HoneyHive vs Respan API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-respan.md)\n- [HoneyHive vs W\u0026B Weave](https://www.anchorterminal.com/compare/honeyhive-vs-wandb-weave.md)\n- [Laminar API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.md)\n- [Langfuse API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing.md)\n- [LangSmith API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing.md)\n- [LangWatch vs MLflow Tracing](https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing.md)\n- [MLflow Tracing vs Prefactor](https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.md)\n- [MLflow Tracing vs Pydantic Logfire](https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire.md)\n- [MLflow Tracing vs Respan API + MCP](https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan.md)\n- [MLflow Tracing vs W\u0026B Weave](https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave.md)\n- [DeepEval vs HoneyHive](https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.md)\n- [DeepEval vs MLflow Tracing](https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "HoneyHive vs MLflow Tracing", "url": "" } ], "description": "MLflow Tracing scores 61.2 (C) to HoneyHive's 55.7 (C) for agent tracing. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "HoneyHive C 55.7", "MLflow Tracing C 61.2", "scores" ], "h1": "HoneyHive vs MLflow Tracing", "image": "https://www.anchorterminal.com/assets/og/compare-honeyhive-vs-mlflow-tracing.png", "path": "/compare/honeyhive-vs-mlflow-tracing", "published": "2026-10-01", "section": "tools", "title": "HoneyHive vs MLflow Tracing for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing" }, "tokens": { "markdown": 2650, "slim": 730 }, "version": 1 }