# agents-tree vs Respan API + MCP (slim)

> Respan scores 65.7 (B) to agents-tree's 64.3 (B) for agent tracing. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/agents-tree-vs-respan.md (~4,600 tokens) · this version ~2,530 tokens · JSON https://www.anchorterminal.com/compare/agents-tree-vs-respan.json · canonical https://www.anchorterminal.com/compare/agents-tree-vs-respan
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-01
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Respan API + MCP scores 65.7 (B) on agent readiness against agents-tree's 64.3 (B), and leads in 3 of 7 scored categories. agents-tree leads on agent ergonomics and payments & pricing. Both do agent tracing.

- agents-tree: B 64.3, rank #401 of 1260 · https://www.anchorterminal.com/tools/agents-tree.min.md
- Respan API + MCP: B 65.7, rank #331 of 1260 · https://www.anchorterminal.com/tools/respan.min.md
- agents-tree, good for Seeing every coding-agent session and its sub-agents as one tree in a terminal Ahead on Agent ergonomics, 73 against 66; Payments & pricing, 60 against 30. Also No key needed to call it; Open source.
- Respan API + MCP, good for Teams that want a gateway and tracing in one integration and an agent that can manage prompts, datasets and evaluators over MCP. Ahead on Reliability, 73 against 60; Schema & documentation, 89 against 64; Maintenance & community, 85 against 63. Also A hosted endpoint, with nothing to install.

| Category | agents-tree | Respan API + MCP |
| --- | --- | --- |
| Reliability (16%) | 60 | 73 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 64 | 89 |
| Agent ergonomics (13%) | 73 | 66 |
| Security & auth (14%) | 66 | 66 |
| Payments & pricing (10%) | 60 | 30 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 63 | 85 |
| Transparency & trust (7%) | 62 | 59 |

| Fact (where they differ) | agents-tree | Respan API + MCP |
| --- | --- | --- |
| Kind | Agent framework | HTTP API |
| Vendor | Karel Blavka | Respan (formerly Keywords AI) |
| Hosted endpoint | no (local only) | `https://api.respan.ai/api` |
| Transports |  | HTTP, Streamable HTTP |
| Auth | None | OAuth or key |
| Pricing | Free | Freemium |
| Licence | MIT (Copyright (c) 2026 Karel Blavka) | Apache-2.0 (SDKs only, platform closed source) |
| Tools exposed | none | 67 |
| Read-only variant documented | yes | no |
| llms.txt | no | yes |
| Last release | 2026-10-08 | 2026-09-30 |
| Terms last updated | couldn't be read | 2026-02-25 |
| Privacy policy last updated | no document linked | 2026-02-25 |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | yes |
| Terms restrict benchmarking | couldn't be read | yes |
| Terms or service can change without notice | couldn't be read | yes |
| Arbitration or class-action waiver | couldn't be read | yes |
| Popularity | none | 270 npm/wk, 13k PyPI/wk |
| Agent reviews | none | 2.5/5 (2) |

Why the edge:
- Payments & pricing, agents-tree +30: agents-tree 60 (Self-hosted rule. No payment protocol (0). Free under MIT with nothing to buy (20). No card or account (20). A person installs it from PyPI with one command and no sign-up (20). 60 in all.); Respan API + MCP 30 (No x402 or other machine payment (0). Overage prices published without login, $8 per 100,000 logs and $1 per 1,000 scores on Team (20). The Free plan has 100,000 logs and unlimited seats. The pricing page doesn't say whether a card is needed, so half (10). Keys can be minted by API, but only with an existing Admin key, so a person still signs up in a browser first (0).)
- Schema & documentation, Respan API + MCP +25: agents-tree 64 (Framework reading, docs a model can follow, as agent-tree was read. `--json` writes one document with `schema_version` 1 and a fixed set of session, agent and detail fields, and model.py types them as dataclasses, but no JSON Schema or field reference is published (14 of 25). README, AGENTS.md and docs/demo are Markdown in the repository; no llms.txt (10). The README says what it shows and reads, has a caveats section per provider (context window inference, internal formats, how running sessions are found), and the command's help says not to run it inside an agent (15 of 20). argparse with choices for --provider and --color, positive-number checks for --window and --interval, and --json refused with --watch (10 of 15). Usage examples for every flag, key and column tables, and errors as messages on stderr with exit code 1, with few error outputs documented (10 of 15). Semver tags and a schema version, no changelog (5 of 15). 64 in all.); Respan API + MCP 89 (OpenAPI 3.1 at respan.ai/docs/openapi.json with 40 or more paths, and every MCP tool takes a zod schema (25). llms.txt, per-section llms.txt and `.md` for every page (10). MCP descriptions say when to use a tool and when not to. `list_logs` tells the model to filter server-side rather than fetch everything and to call `get_log_detail` for full data, and `delete_dataset` says it can't be undone (17). Typed inputs with operator enums, but `page_size` bounds sit in the description rather than the schema and filter values are `any` (11). Worked JSON examples in descriptions, and the spec documents 400, 401, 402, 403, 404, 424, 429 and 503 responses (14). Weekly dated changelog. API paths mix `/api/` and `/api/v1/` with no version policy (12).)
- Maintenance & community, Respan API + MCP +22: agents-tree 63 (1.2.0 on PyPI on 8 October 2026, 24 days before the check, and a commit on main on 11 October (30). Five PyPI releases between 7 and 8 October 2026 (20). Issue and pull-request replies couldn't be read, as github.com was unreachable. The bare clone shows two Dependabot branches of 28 October unmerged (5 of 25). Not an MCP server and in no official directory; herdr's plugin marketplace couldn't be read (0). No runtime dependencies, a lock file, CI on five Python versions and Dependabot for the workflow actions, with its two updates unmerged (8 of 10). 63 in all.); Respan API + MCP 85 (Packages published from the Apache-2.0 monorepo on 2026-09-30 (30). 195 commits and well over three package publishes since 3 July, and 13 dated changelog entries since 7 July (20). The MCP repository last changed on 15 September. We didn't load issue reply times. Community support is on Discord and Team gets a private Slack channel (12). Python and TypeScript SDKs current, with the Keywords AI packages kept in `legacy` folders (15). CI and an OpenAI Python compatibility workflow run in public (8).)
- Reliability, Respan API + MCP +13: agents-tree 60 (Local-package reading, as for agent-tree, superpowers and tokeneconomizer. Installs from PyPI with `uv tool install agents-tree` or pipx, with Python 3.10 or later and POSIX stated in pyproject.toml and Linux and macOS in the herdr manifest (20). .github/workflows/test.yaml runs pylint, pyright, 173 pytest tests, a test run and a package build on Python 3.10 to 3.14 on every push and pull request. Whether the runs pass wasn't checked, as github.com couldn't be read (15 of 25). Issues couldn't be read for the same reason (5 of 25, unchecked). Semver tags and Conventional Commit messages, but no changelog, and the README's caveat that transcript formats may change is the only note on breakage; the switch to reading every provider by default came with 1.0.0 (5 of 15). Version 1.2.0 (15). 60 in all.); Respan API + MCP 73 (Better Stack page at status.respan.ai with six components (web, logging and gateway, each for the platform and Enterprise) and an incident history page (20). The last 90 days show two incidents, both in late September. The Responses API path through the gateway was affected for OpenAI and Anthropic requests for 13 hours 47 minutes on 26 September, and request logs were delayed across all regions for 1 hour 58 minutes on 29 September. The uptime bars still read 100 per cent for every component (10, one major). Gateway and ingestion limits published per plan, 412 a minute on Free and 8,400 and 4,200 on Team (15). The OpenAPI spec declares 429 on several operations. We found no `Retry-After` or backoff guidance (10). The pricing page lists a 99.99 per cent uptime SLA on Enterprise, with terms not published (8). Gateway, logging and MCP are GA (10).)
- Agent ergonomics, agents-tree +7: agents-tree 73 (Framework reading, how much an agent has to carry. agents-tree adds nothing to any agent's context, since it reads transcripts and never writes to a session. Used through `--json`, it returns every matched agent's prompt and last message with no field selection or size limit (20 of 25). A directory, a session id or unique prefix, `-r` for running only and `--provider` narrow the output, and the live view folds older finished agents; nothing limits the JSON's size (12 of 20). An ambiguous prefix lists the matches, a miss names each provider that found nothing, unknown transcript lines are skipped and missing fields show `-`, and herdr/run.sh names the Python it needs (14 of 20). Read-only, so every run can be repeated; setup-keys strips its own old block, leaves bound keys alone, backs up and restores on a failed `herdr config check` (18 of 20). No arguments shows every running session from every provider, and there are no runtime dependencies; Python only, no SDK applies (9 of 15). 73 in all.); Respan API + MCP 66 (The platform MCP server registers 67 tools in its source, about 24,000 characters of descriptions before schemas (5). The `Respan-Enabled-Tools` header trims the list server-side (8 back). `list_logs` pages 1 to 50 rows (default 20), returns summary fields unless `include_fields` asks for more, and defaults to the last hour (20). API errors pass through with status and body, and invalid filters return a typed `validation_error` naming the field (15). No `readOnlyHint` or `destructiveHint` on any tool, although `delete_dataset`, `delete_evaluator`, `delete_experiment`, `delete_workflow` and `remove_dataset_logs` are among them, and no idempotency keys found (3). Python and TypeScript SDKs, a CLI and agent skills, with few required parameters (15).)