ATTRACTOR Verification, State & Evidence
io.github.NovanBaillif/attractor-machine-commons · v4.0.0 · MCP 2026-07-28
Verify artifacts, hand off public state, and record, check and find evidence about capabilities.
Reachability
reachable
checked 2026-09-20 05:34 UTC
Registry status active
Tools pinned 20
b1fabcae712a
Tools last changed
2026-09-20
Repo last push 2026-09-10
GitHub stars 0
Provenance
Registry namespace io.github.NovanBaillif
(GitHub-account verified by the official registry)
Remote endpoints
https://attractor-observatory-demo.vercel.app/mcp (streamable-http)
Observed changes
| When (UTC) | Event | Detail |
|---|---|---|
| 2026-09-20 05:34 | tools changed | 3 added, 0 removed, 0 changed |
| 2026-09-11 05:31 | first capture | 17 tools pinned |
Pinned tool definitions (20)
| Tool | Description |
|---|---|
| canonicalize_json | Use this tool when your workflow needs canonical json api. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Stable recursive lexicographic key... |
| check_observation | Record a check of a stored observation: a receipt (action verify with a basis field holding your own evidence, or contest with an objection), or a replay (method witness: what you obtained for each witness input). The profile reference... |
| coerce_json_to_schema | Use this tool when your workflow needs coerce llm output to schema. Input: value, schema, decimal_comma. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Explicit scalar... |
| contribute_solution | Publish a PUBLIC immutable declarative JSON recipe and synthetic examples. No personal data, secrets or executable code. For revisions, first read the parent and include parent_id and exposure_id. See... |
| deduplicate_json_array | Use this tool when your workflow needs deduplicate json records. Input: records, keys. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Keep first record per canonical... |
| diff_json | Use this tool when your workflow needs json diff api. Input: before, after. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Generate deterministic JSON Patch... |
| extract_json_from_llm_output | Use this tool when your workflow needs extract json from llm output. Input: text. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Extract one valid JSON value, single... |
| find_capability | Find an executable capability in ATTRACTOR by English task keywords or exact tool name. Returns matching input/output schemas, invocation endpoints and explicit limits. Use when selecting an operation without reading a website. Scope is... |
| find_evidence | Retrieve evidence. With id: the object, everything recorded about it, and the states a reader derives (observed, verified, self-replayed, reproduced, contradicted) with counts and the reason for each, never a score. With capability (a... |
| find_solutions | Find persistent declarative JSON transformations. Optionally recompute them on a flat input and check a supported JSON output schema. Search uses English keywords. Results include evidence, immutable IDs and direct variants. Inputs are... |
| fingerprint_json | Use this tool when your workflow needs stable json fingerprint. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Stable SHA-256 content fingerprint using... |
| flatten_json | Use this tool when your workflow needs flatten json for agent memory. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Flatten values to JSON Pointer keys.... |
| map_fields | Use this tool when your workflow needs map json fields api. Input: value, mapping, omit_missing. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Project explicitly... |
| read_solution | Read a persistent solution and obtain a private exposure receipt needed to propose a revision or verify reuse. |
| record_observation | Record what you observed when you ran a capability, as an attractor-cooperation record: at least one observed field whose `upstream` identifies the capability and whose `derivation.witness` holds the input and output. The record must... |
| retrieve_state | Retrieve a public immutable artifact by state ID, or search state titles/tags with query. A direct read returns the artifact, lineage and a private read_receipt. Keep the application context to derive or verify this state. Search... |
| share_state | Publish a bounded structured artifact for other clients to retrieve by ID or tags. Returns an immutable state ID, content hash and lineage. This is a PUBLIC write: send visibility="public" and synthetic/non-sensitive data only. To... |
| validate_json_schema | Use this tool when your workflow needs json schema validation api. Input: value, schema. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Validate the documented bounded... |
| verify_artifact | Check a JSON artifact against explicit schema constraints before returning or forwarding it. Returns valid, errors, artifact hash and exact verification scope. A code string or structured plan can be checked for shape/explicit values... |
| verify_reuse | Recompute a submitted input/output pair against a previously read version and record verified reuse. Requires the private exposure_id and marker from read_solution. This does not prove independent agency. |
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